10 VERSPM Model Details

10.0.1 Overview

VERSPM is a strategic planning model that assists state and metropolitan area planners with the evaluation of transportation and land use policy scenarios. It considers a large number of factors which affect the performance of transportation systems and their effects on people and the environment. The Regional Strategic Planning Model (RSPM), was developed by the Oregon Department of Transportation (ODOT) for the purpose of estimating and forecasting the effects of various policies and other influences on the amount of vehicle travel, the types of vehicles and fuels used, and the resulting greenhouse gas (GHG) emissions among other outcomes.

The VERSPM model was initially developed to address the following factors:

Changes in population demographics (age structure);
Changes in personal income;
Relative amounts of development occurring in metropolitan, urban and rural areas;
Metropolitan, other urban, and rural area densities;
Urban form in metropolitan areas (proportion of population living in mixed use areas with a well interconnected street and walkway system);
Amounts of metropolitan area transit service;
Metropolitan freeway and arterial supplies;
Auto and light truck proportions by year;
Average vehicle fuel economy by vehicle type and year;
Vehicle age distribution by vehicle type;
Electric vehicles (EVs), plug-in hybrid electric vehicles (PHEVs)
Light-weight vehicles such as bicycles, electric bicycles, electric scooters, etc.;
Pricing – fuel, vehicle miles traveled (VMT), parking;
Demand management – employer-based and individual marketing;
Car-sharing;
Effects of congestion on fuel economy;
Effects of incident management on fuel economy;
Vehicle operation and maintenance – eco-driving, low rolling resistance tires, speed limits;
Carbon intensity of fuels, including the well to wheels emissions; and
Carbon production from the electric power that is generated to run electric vehicles.

10.0.2 Structure

VERSPM is a disaggregate policy model that predicts travel demand impacts at an individual household level. The model estimates vehicle ownership, vehicle travel, fuel consumption, and GHG emissions at the individual household level. This structure accounts for the synergistic and antagonistic effects of multiple policies and factors (e.g. gas prices) on vehicle travel and emissions. For example, the battery range of electric vehicles (EVs) and plug‐in hybrid electric vehicles (PHEVs) is less of an issue for households residing in compact mixed‐use neighborhoods because those households tend to drive fewer miles each day. Modeling at the household level makes it possible to evaluate the relationships between travel, emissions and the characteristics of households, land use, transportation systems, vehicles, and other factors. In addition, household level analysis makes it possible to evaluate the equitability of the costs and benefits of different strategies.

The model comprises sequential steps with feedback. Each calculation step is composed of a number of calculations that operate on the results of the previous calculation step and on input data that reflect inputs.

The VERSPM steps are grouped as follows:

The iterative process to balance the VMT with travel costs allows congestion and other costs introduced at this step influence the amount of travel. This step balances the amount of household travel with the cost of travel and recalculates household VMT, Fuel & GHG in the process. The primary outputs of the RSPM are household travel, fuel and power consumption, and GHG emissions calculations, but other information is produced for households and commercial vehicles as well. The amount of commercial (light‐duty) and freight (heavy duty) travel is calculated as well as associated fuel, power consumption and GHG emissions for those vehicles.

10.0.3 Modules

Household Modules - VESimHouseholds package

The following four modules create a set of households for each forecast year that represents each resident in the model area with the likely household mix of household and person characteristics:

Land Use Modules - VELandUse package

The following five modules assigns a housing type to households (e.g. single-family, multi-family, etc.) and a development type (metropolitan, town, rural) based on available input dwelling units. Households are assigned a location in the metropolitan area based on the projected supply of housing and neighborhood affordability. Neighborhood population density and mixed-use character are calculated.

The following three modules identifies parking restrictions and prices affecting households, identifies households participating in TDM programs and assigns car service availability to zones (including car sharing and taxis):

Transport Supply Modules - VETransportSupply package

The following two modules gather details about the relevant roadway and public transport systems considered in the simulation of travel:

Household Vehicle Modules - VEHouseholdVehicles package

The following seven modules simulate details about the drivers of vehicles in the simulation and types of vehicles they drive:

Household Travel Modules - VEHouseholdTravel package

The following four module provides an initial estimate of average daily vehicle miles traveled (DVMT) for each household based on the household characteristics (e.g., demographics, income, transportation options, and land use). They also calculate the households non-motorized trips.

Powertrain and Fuel Modules - VEPowertrainsAndFuels package

The following two modules identifies the vehicles powertrain as an internal combustion engine (ICE), hybrid-electric vehicle (HEV), plug-in hybrid electric vehicle (PHEV), or electric vehicle (EV) and calculates each household vehicle’s emission.

10.0.4 Feedback

THe next step balance the amount of household travel with the cost of travel and recalculate household VMT, Fuel and GHG emissions . This is necessary because: 1) congestion calculations affect fuel economy and thus the amount and cost of fuel consumed; 2) congestion pricing affects the amount of travel and household travel costs; 3) fuel, vehicle travel, and other taxes and fees affect the amount and cost of travel; and 4) eco-driving improves fuel economy and reduces fuel cost. The effect of these adjustments to household travel costs need to be included in the total household travel costs and the adjustment to household DVMT.

Travel Performance - VETravelPerformance package

The following modules run iteratively to balance the DVMT and travel costs. Total light duty vehicle (household and commercial service vehicle), truck and bus DVMT is calculated for the metropolitan area and assigned to portions of the road system (freeway, arterial, other). Congestion levels are and associated speed reductions are calculated considering the traffic loads and inputs regarding the deployment of traffic operations programs (e.g. ramp metering, traffic signal coordination) and congestion pricing. Speed-adjusted fuel economy is calculated considering variations by powertrain. Travel cost per mile due to congestion pricing is also calculated. Household travel costs are calculated from the amounts of miles driven, fuel consumed, electricity consumed, and GHG emitted. Other inputs establish the rates for fuel costs, power costs, fuel taxes, VMT taxes, PAYD insurance, and several external costs. Finally a household budget model is used to adjust household DVMT to reflect the effect of household travel costs on the amount of household travel. The adjusted household DVMT is allocated to vehicles in proportion to the previous allocation. This process can run multiple times until DVMT changes very little between iterations.

Heavy Vehicles Emissions - VETravelPerformance

The following two modules calculate heavy vehicle fuel and power consumption and GHG emissions:

10.1 Inputs and Parameters

The VERSPM model directory is organized with the following subdirectories:

defs
inputs
results (created after a completed model run)
scripts

Generally speaking, the VERPSM inputs are classified into the five following categories:

User input model parameters: These are input parameters (model or scenario specific), or model definition files, that users should review and modify as needed.
Fixed input model parameters: These are input parameters, or model definition files, specific to the model that users should not typically modify.
User input files: These are input files (model or scenario specific) that users should review and modify as needed.
Fixed input files: These are input files specific to the model that that users should not typically modify.
Internal module inputs: These are inputs created by other VERSPM modules.

10.2 Modules and Outputs

The VERSPM model is a compilation of several modules, listed below:

MODULE	PACKAGE
CreateHouseholds	VESimHouseholds
PredictWorkers	VESimHouseholds
AssignLifeCycle	VESimHouseholds
PredictIncome	VESimHouseholds
PredictHousing	VELandUse
LocateEmployment	VELandUse
AssignLocTypes	VELandUse
Calculate4DMeasures	VELandUse
CalculateUrbanMixMeasure	VELandUse
AssignParkingRestrictions	VELandUse
AssignDemandManagement	VELandUse
AssignCarSvcAvailability	VELandUse
AssignTransitService	VETransportSupply
AssignRoadMiles	VETransportSupply
AssignDrivers	VEHouseholdVehicles
AssignVehicleOwnership	VEHouseholdVehicles
AssignVehicleType	VEHouseholdVehicles
CreateVehicleTable	VEHouseholdVehicles
AssignVehicleAge	VEHouseholdVehicles
CalculateVehicleOwnCost	VEHouseholdVehicles
AdjustVehicleOwnership	VEHouseholdVehicles
CalculateHouseholdDvmt	VEHouseholdTravel
CalculateAltModeTrips	VEHouseholdTravel
CalculateVehicleTrips	VEHouseholdTravel
DivertSovTravel	VEHouseholdTravel
Initialize	VEPowertrainsAndFuels
CalculateCarbonIntensity	VEPowertrainsAndFuels
AssignHhVehiclePowertrain	VEPowertrainsAndFuels
Initialize	VETravelPerformance
CalculateBaseRoadDvmt	VETravelPerformance
CalculateFutureRoadDvmt	VETravelPerformance
CalculateRoadPerformance	VETravelPerformance
CalculateMpgMpkwhAdjustments	VETravelPerformance
AdjustHhVehicleMpgMpkwh	VETravelPerformance
CalculateVehicleOperatingCost	VETravelPerformance
BudgetHouseholdDvmt	VETravelPerformance
CalculateComEnergyAndEmissions	VETravelPerformance
CalculatePtranEnergyAndEmission	VETravelPerformance

The following section describes each module, its required inputs, and its generated outputs.

10.2.1 CreateHouseholds

This module creates simulated households using inputs of population by age group by simulation year.

User Input Files

Household Population (azone_hh_pop_by_age.csv)

This file contains population estimates/forecasts by age for each of the base and future years. The file format includes number of persons within six age groups:

0-14
15-19
20-29
30-54
55-64
65 Plus

Base year data for population by age category can be sourced from the Census. Future year data must be developed by the user; in many regions population forecasts are available from regional or state agencies such as population data centers, universities, metropolitan planning organizations, or similar agencies.

Here is a snapshot of the file:

Geo	Year	Age0to14	Age15to19	Age20to29	Age30to54	Age55to64	Age65Plus
RVMPO	2010	30193	10970	20557	52327	24840	29240
RVMPO	2038	39759	12781	24972	75984	27563	66139

Household Size (azone_hhsize_targets.csv)

This file contains the household-specific targets for the population synthesizer. This file contains two attributes:

AveHhSize: Average household size for non-group quarters households
Prop1PerHh: Proportion of non-group quarters households having only one person

Household size data for the base year can be sourced from the Census.

Here is a snapshot of the file:

Geo	Year	AveHhSize	Prop1PerHh
RVMPO	2010	NA	0.3
RVMPO	2038	NA	NA

Group Quarter Population (azone_gq_pop_by_age.csv)

This file contains group quarters population estimates/forecasts by age for each of the base and future years. The file format includes number of persons within the following six age categories:

0-14
15-19
20-29
30-54
55-64
65 Plus

Group quarters are distinguished between two types: institutional and non-institutional. Institutional group quarter populations are those in correctional facilities or nursing homes. Non-institutional group quarters include college dormitories, military barracks, group homes, missions, or shelters. Only non-institutional group quarters are included in the modeled population, given the assumption that institutional group quarters populations do not account for much, if any, travel. Base year data for group quarter populations can be sourced from the Census.

Here is a snapshot of the file:

Geo	Year	GrpAge0to14	GrpAge15to19	GrpAge20to29	GrpAge30to54	GrpAge55to64	GrpAge65Plus
RVMPO	2010	0	666	382	66	7	0
RVMPO	2038	0	666	382	66	7	0

Module Outputs

Households are created with the number of persons in each of six age categories (0-14, 15-19, 20-29, 30-54, 55-64, and 65+) and the total number of persons in the household. Two types of households are created: regular households (i.e. not persons living in group quarters) and group quarters households .

HhId: Unique household ID
HhSize: Number of persons
Age0to14: Persons in 0 to 14 year old age group
Age15to19: Persons in 15 to 19 year old age group
Age20to29: Persons in 20 to 29 year old age group
Age30to54: Persons in 30 to 54 year old age group
Age55to64: Persons in 55 to 64 year old age group
Age65Plus: Persons in 65 or older age group
HhType: Coded household age composition (e.g., 2-1-0-2-0-0) or Grp for group quarters

For more information see here

10.2.2 PredictWorkers

This module assigns workers by age to households and to non-institutional group quarters population. It is a simple model which predicts workers as a function of the household type and age composition.

User Input Files

Relative employment (azone_relative_employment.csv)

This file contains the ratio of workers to persons by age cohort in the model year relative to the model estimation data year. This file contains five age cohorts:

RelEmp15to19: Ratio of workers to persons age 15 to 19 in model year versus in estimation data year
RelEmp20to29: Ratio of workers to persons age 20 to 29 in model year versus in estimation data year
RelEmp30to54: Ratio of workers to persons age 30 to 54 in model year versus in estimation data year
RelEmp55to64: Ratio of workers to persons age 55 to 64 in model year versus in estimation data year
RelEmp65Plus: Ratio of workers to persons age 65 or older in model year versus in estimation data year

Setting a value of 1 assumes that the ratio of workers to persons is consistent with estimation data for that specific age cohort.

Here is a snapshot of the file:

Geo	Year	RelEmp15to19	RelEmp20to29	RelEmp30to54	RelEmp55to64	RelEmp65Plus
RVMPO	2010	1	1	1	1	1
RVMPO	2038	1	1	1	1	1

Internal Module Inputs

Package	Module	Outputs	Description
VESimHouseholds	CreateHouseholds	Age0to14	Persons in 0 to 14 year old age group
VESimHouseholds	CreateHouseholds	Age15to19	Persons in 15 to 19 year old age group
VESimHouseholds	CreateHouseholds	Age20to29	Persons in 20 to 29 year old age group
VESimHouseholds	CreateHouseholds	Age30to54	Persons in 30 to 54 year old age group
VESimHouseholds	CreateHouseholds	Age55to64	Persons in 55 to 64 year old age group
VESimHouseholds	CreateHouseholds	Age65Plus	Persons in 65 or older age group
VESimHouseholds	CreateHouseholds	HHType	Coded household age composition

Module Outputs

Wkr15to19: Workers in 15 to 19 year old age group
Wkr20to29: Workers in 20 to 29 year old age group
Wkr30to54: Workers in 30 to 54 year old age group
Wkr55to64: Workers in 55 to 64 year old age group
Wkr65Plus: Workers in 65 or older age group
Workers: Total workers
NumWkr: Number of workers residing in the zone

For more information see here

10.2.3 AssignLifeCycle

This module assigns a life cycle category to each household. The life cycle categories are similar, but not the same as, those established for the National Household Travel Survey (NHTS). The age categories used in VisionEval models are broader than those used by the NHTS to identify children of different ages. This is a simple model with set of rules that assigns age group categories based on the age of persons and workers in the household.

User Input Files

This module has no user input requirements.

Internal Module Inputs

Package	Module	Outputs	Description
VESimHouseholds	CreateHouseholds	Age0to14	Persons in 0 to 14 year old age group
VESimHouseholds	CreateHouseholds	Age15to19	Persons in 15 to 19 year old age group
VESimHouseholds	CreateHouseholds	Age20to29	Persons in 20 to 29 year old age group
VESimHouseholds	CreateHouseholds	Age30to54	Persons in 30 to 54 year old age group
VESimHouseholds	CreateHouseholds	Age55to64	Persons in 55 to 64 year old age group
VESimHouseholds	CreateHouseholds	Age65Plus	Persons in 65 or older age group
VESimHouseholds	CreateHouseholds	HHType	Coded household age composition
VESimHouseholds	PredictWorkers	Wrk15to19	Workers in 15 to 19 year old age group
VESimHouseholds	PredictWorkers	Wrk20to29	Workers in 20 to 29 year old age group
VESimHouseholds	PredictWorkers	Wrk30to54	Workers in 30 to 54 year old age group
VESimHouseholds	PredictWorkers	Wrk55to64	Workers in 55 to 64 year old age group
VESimHouseholds	PredictWorkers	Wrk65Plus	Workers in 65 or older age group

Module Outputs

LifeCycle: Household life cycle as defined by 2009 NHTS LIF_CYC variable

For more information see here

10.2.4 PredictIncome

This module predicts the income for each simulated household given the number of workers in each age group and the average per capita income for the Azone where the household resides.

User Input Files

Regional Income (azone_per_cap_inc.csv)

This file contains information on regional average per capita household (HHIncomePC) and group quarters (GQIncomePC) income by forecast year in year 2010 dollars. The data can be obtained from the U.S. Department of Commerce Bureau of Economic Analysis for the current year or from regional or state sources for forecast years. In order to use current year dollars just replace 2010 in column labels with current year. For example, if the data is obtained in year 2015 dollars then the column labels in the file shown below will become HHIncomePC.2015 and GQIncomePC.2015.

Here is a snapshot of the file:

Geo	Year	HHIncomePC.2010	GQIncomePC.2010
RVMPO	2010	32164	7500
RVMPO	2038	43334	10000

Internal Module Inputs

Package	Module	Outputs	Description
VESimHouseholds	CreateHouseholds	HHSize	Number of persons in the household
VESimHouseholds	CreateHouseholds	Age65Plus	Persons in 65 or older age group
VESimHouseholds	CreateHouseholds	HHType	Coded household age composition
VESimHouseholds	PredictWorkers	Wrk15to19	Workers in 15 to 19 year old age group
VESimHouseholds	PredictWorkers	Wrk20to29	Workers in 20 to 29 year old age group
VESimHouseholds	PredictWorkers	Wrk30to54	Workers in 30 to 54 year old age group
VESimHouseholds	PredictWorkers	Wrk55to64	Workers in 55 to 64 year old age group

Module Outputs

Income: Total annual household (non-qroup and group quarters) income

For more information see here

10.2.5 PredictHousing

This module assigns a housing type, either single-family (SF) or multifamily (MF) to non-group quarters households based on the respective supplies of SF and MF dwelling units in the housing market to which the household is assigned (i.e. the Azone the household is assigned to) and household characteristics. The model then assigns each household to a Bzone based on the household’s housing type and income quartile as well as the supply of housing by type and Bzone (an input), and the distribution of households by income quartile for each Bzone (an input). The module assigns non-institutional group quarters households to Bzones based on the supply of group quarters units by Bzone.

User Input Files

Dwelling Units (bzone_dwelling_units.csv)

This file contains the number single-family dwelling units (SFDU), multifamily dwelling units (MFDU) and group-quarter dwelling units (GQDU) by Bzone for each of the base and future years. Data for the base year for single-family and multifamily dwelling units can be sourced from Census housing data with information on units in structure, with multifamily dwelling units defined as any structures with 2-or-more units. For group quarters, unless more detailed local data is available, Census data for non-institutionalized group quarter population can serve as a proxy for dwelling units assuming a 1:1 ratio of dwelling unit per GQ population.

Here is a snapshot of the file:

Geo	Year	SFDU	MFDU	GQDU
D410290014002	2010	559	0	0
D410290013012	2010	79	8	523
D410290014001	2010	1398	180	0
D410290014003	2010	1385	172	0
D410290013021	2010	271	0	0

Household Proportion by Income (bzone_hh_inc_qrtl_prop.csv)

This file contains the proportion of Bzone non-group quarters households by quartile of Azone household income category for each of the base and future years. The total for each Bzone should sum to 1.

Here is a snapshot of the file:

Geo	Year	HhPropIncQ1	HhPropIncQ2	HhPropIncQ3	HhPropIncQ4
D410290014002	2010	0.12	0.54	0.26	0.54
D410290013012	2010	0.00	0.32	0.36	0.32
D410290014001	2010	0.24	0.16	0.26	0.16
D410290014003	2010	0.16	0.19	0.36	0.19
D410290013021	2010	0.29	0.29	0.15	0.29

Internal Module Inputs

Package	Module	Outputs	Description
VESimHouseholds	CreateHouseholds	HHSize	Number of persons in the household
VESimHouseholds	CreateHouseholds	HHType	Coded household age composition
VESimHouseholds	CreateHouseholds	Age15to19	Persons in 15 to 19 year old age group
VESimHouseholds	CreateHouseholds	Age20to29	Persons in 20 to 29 year old age group
VESimHouseholds	CreateHouseholds	Age30to54	Persons in 30 to 54 year old age group
VESimHouseholds	CreateHouseholds	Age55to64	Persons in 55 to 64 year old age group
VESimHouseholds	CreateHouseholds	Age65Plus	Persons in 65 or older age group
VESimHouseholds	PredictWorkers	Workers	Total workers in the household
VESimHouseholds	PredictIncome	Income	Total annual income of household

Module Outputs

HouseType: Type of dwelling unit of the household
SF: Number of households living in single family dwelling units in zone
MF: Number of households living in multi-family dwelling units in zone
GQ: Number of persons living in group quarters in zone
Pop: Population residing in zone
NumHh: Number of households in zone
NumWkr: Number of workers in zone

For more information see here

10.2.6 LocateEmployment {verspm-locateemployment}

This module places employment in Bzones based on input assumptions of employment by type and Bzone. The model adjusts the employment numbers to balance with the number of workers in the region. The module creates a worker table and assigns workers to Bzone employment locations as a function of the number of jobs in each Bzone and the distance between residence and employment Bzones.

User Input Files

Employment Data (bzone_employment.csv)

This file contains the total, retail and service employment by zone for each of the base and future years. Employment categorizations are from the Environmental Protection Agency’s (EPA) Smart Location Database 5-tier employment classification.

TotEmp: Total number of jobs in zone
RetEmp: Number of jobs in retail sector in zone (Census LEHD: CNS07)
SvcEmp: Number of jobs in service sector in zone (Census LEHD: CNS12 + CNS14 + CNS15 + CNS16 + CNS19)

Here is a snapshot of the file:

Geo	Year	TotEmp	RetEmp	SvcEmp
D410290014002	2010	403	262	96
D410290013012	2010	1382	73	880
D410290014001	2010	271	12	172
D410290014003	2010	609	66	413
D410290013021	2010	49	1	41

Zonal Latituted Longitude (bzone_lat_lon.csv)

This file contains the latitude and longitude of the centroid of the zone.

Here is a snapshot of the file:

Geo	Year	Latitude	Longitude
D410290014002	2010	42.48657	-122.8014
D410290013012	2010	42.44259	-122.8461
D410290014001	2010	42.46010	-122.7925
D410290014003	2010	42.47673	-122.8008
D410290013021	2010	42.37304	-122.7793

Internal Module Inputs

Package	Module	Outputs	Description
VESimHouseholds	CreateHouseholds	HhId	Household id
VESimHouseholds	PredictWorkers	Workers	Total workers in the household
VESimHouseholds	PredictWorkers	NumWkr	Number of workers residing in the zone

Module Outputs

TotEmp: Total number of jobs in zone
RetEmp: Number of jobs in retail sector in zone
SvcEmp: Number of jobs in service sector in zone
WkrId: Unique worker ID
DistanceToWork: Distance from home to work assuming location at Bzone centroid and ‘Manhattan’ distance

For more information see here

10.2.7 AssignLocTypes

This module assigns households to location types: Urban (located within an urbanized area boundary), Town (located in a smaller urban area that does not have enough population to qualify as an urbanized area), and Rural (located in an area characterized by low density dispersed development).

User Input Files

Urban dwelling proportion (bzone_urban-town_du_proportions.csv)

This file contains proportion of SF, MF and GQ dwelling units within the urban portion of the zone.

PropUrbanSFDU: Proportion of single family dwelling units located within the urban portion of the zone
PropUrbanMFDU: Proportion of multi-family dwelling units located within the urban portion of the zone
PropUrbanGQDU: Proportion of group quarters accommodations located within the urban portion of the zone
PropTownSFDU: Proportion of single family dwelling units located within the town portion of the zone
PropTownMFDU: Proportion of multi-family dwelling units located within the town portion of the zone
PropTownGQDU: Proportion of group quarters accommodations located within the town portion of the zone

Here is a snapshot of the file:

Geo	Year	PropUrbanSFDU	PropUrbanMFDU	PropUrbanGQDU
D410290014002	2010	0.4686941	1	1
D410290013012	2010	0.8860759	1	1
D410290014001	2010	0.8626609	1	1
D410290014003	2010	0.9906137	1	1
D410290013021	2010	0.0147601	1	1

Internal Module Inputs

Package	Module	Outputs	Description
VESimHouseholds	CreateHouseholds	HhId	Household id
VESimHouseholds	PredictWorkers	HhSize	Number of persons in household
VESimHouseholds	PredictIncome	Income	Total annual income of household
VELandUse	PredictHousing	HouseType	Type of dwelling unit of the household

Module Outputs

LocType: Location type (Urban, Town, Rural) of the place where the household resides
UrbanPop: Urbanized area population
RuralPop: Rural (i.e. non-urbanized area) population
TownPop: Town (i.e. urban but non-urbanized area) population
UrbanIncome: Total household income of the urbanized area population
TownIncome: Total household income of the town (i.e. urban but non-urbanized area) population
RuralIncome: Total household income of the rural (i.e. non-urbanized area) population

For more information see here

10.2.8 Calculate4DMeasures

This module calculates several so-called ‘4D’ measures by Bzone including density, diversity (i.e. mixing of land uses), transportation network design, and destination accessibility, i.e., the four ‘Ds’ of density, diversity, design, and destination accessibility. These measures are the same as or are similar to measures included in the EPA’s Smart Location Database

User Input Files

Developable Area (bzone_unprotected_area.csv)

This file contains the information about unprotected (i.e., developable) area within the zone.

UrbanArea: Area that is Urban and unprotected (i.e. developable) within the zone (Acres)
TownArea: Area that is Town and unprotected within the zone (Acres)
RuralArea: Area that is Rural and unprotected within the zone (Acres)

Here is a snapshot of the file:

Geo	Year	UrbanArea	RuralArea
D410290014002	2010	298.6487137	4996.11876
D410290013012	2010	830.6009450	384.80922
D410290014001	2010	983.1506646	3699.94017
D410290014003	2010	439.2145619	90.86259
D410290013021	2010	0.3548548	6212.57640

Network density (bzone_network_design.csv)

This file contains values for D3bpo4, a measure for intersection density determined by the number of pedestrian-oriented intersections having four or more legs per square mile. The data to inform this input can be sourced from the EPA’s Smart Location Database.

Here is a snapshot of the file:

Geo	Year	D3bpo4
D410290014002	2010	0.2618757
D410290013012	2010	0.4830901
D410290014001	2010	1.8038130
D410290014003	2010	18.9766301
D410290013021	2010	0.1013039

Internal Module Inputs

Package	Module	Outputs	Description
VELandUse	PredictHousing	Pop	Population residing in zone
VELandUse	PredictHousing	NumHh	Number of households in zone
VELandUse	PredictHousing	NumWkr	Number of workers in zone
VELandUse	LocateEmployment	TotEmp	Total number of jobs in zone
VELandUse	LocateEmployment	RetEmp	Number of jobs in retail sector in zone
VELandUse	LocateEmployment	SvcEmp	Number of jobs in service sector in zone

Module Outputs

D1B: Gross population density (people/acre) on unprotected (i.e. developable) land in zone
D1C: Gross employment density (jobs/acre) on unprotected land land in zone
D1D: Gross activity density (employment + households) on unprotected land in zone
D2A_JPHH: Ratio of jobs to households in zone
D2A_WRKEMP: Ratio of workers to jobs in zone
D2A_EPHHM: Employment and household entropy measure for zone considering numbers of households, retail jobs, service jobs, and other jobs
D5: Destination accessibility of zone calculated as harmonic mean of jobs within two (2) miles and population within five (5) miles

For more information see here

10.2.9 CalculateUrbanMixMeasure

This module calculates an urban mixed-use measure based on the 2001 National Household Travel Survey (NHTS) measure of the tract level urban/rural indicator. This measure, developed by Claritas, uses the density of the tract and surrounding tracts to identify the urban/rural context of the tract. The categories include urban, suburban, second city, town and rural. Mapping of example metropolitan areas shows that places identified as urban correspond to central city and inner neighborhoods characterized by mixed use, higher levels of urban accessibility, and higher levels of walk/bike/transit accessibility.

User Input Files

Household Neighborhood (bzone_urban-mixed-use_prop.csv)

This file contains the target proportion of households located in mixed-used neighborhoods in each zone.

MixUseProp: Target for proportion of households located in mixed-use neighborhoods in zone (or NA if no target)

Here is a snapshot of the file:

Geo	Year	MixUseProp
D410290014002	2010	0.1
D410290013012	2010	NA
D410290014001	2010	NA
D410290014003	2010	NA
D410290013021	2010	NA

Internal Module Inputs

Package	Module	Outputs	Description
VESimHouseholds	CreateHouseholds	HhId	Household id
VELandUse	PredictHousing	HouseType	Type of dwelling unit of the household
VELandUse	PredictHousing	NumHh	Number of households in zone
VELandUse	AssignLocTypes	UrbanPop	Urbanized area population
VELandUse	AssignLocTypes	RuralPop	Rural (i.e. non-urbanized area) population

Module Outputs

IsUrbanMixNbrhd: Flag identifying whether household is (1) or is not (0) in an urban, mixed-use neighborhood

For more information see here

10.2.10 AssignParkingRestrictions

This module identifies parking restrictions and prices affecting households at their residences, workplaces, and other places they are likely to visit in the urban area. The parking restriction/cost information is used by other modules in calculating the cost of vehicle ownership and the cost of vehicle use.

User Input Files

Parking Availability (bzone_parking.csv)

This file contains the parking information by Bzone for each of the base and future years. Users should use available local data on parking availability, costs, and program participation to develop this input.

PkgSpacesPerSFDU: Average number of free parking spaces available to residents of single-family dwelling units
PkgSpacesPerMFDU: Average number of free parking spaces available to residents of multifamily dwelling units
PkgSpacesPerGQ: Average number of free parking spaces available to group quarters residents
PropWkrPay: Proportion of workers who pay for parking
PropCashOut: Proportions of workers paying for parking in a cash-out-buy-back program
PkgCost: Average daily cost for long-term parking (e.g. paid on monthly basis)

Here is a snapshot of the file:

Geo	Year	PkgSpacesPerSFDU	PkgSpacesPerMFDU
D410290014002	2010	3	1.5
D410290013012	2010	4	4.0
D410290014001	2010	4	4.0
D410290014003	2010	4	4.0
D410290013021	2010	4	4.0

Internal Module Inputs

Package	Module	Outputs	Description
VELandUse	PredictHousing	NumHh	Number of households in zone
VELandUse	PredictHousing	HouseType	Type of dwelling unit of the household
VELandUse	LocateEmployment	RetEmp	Number of jobs in retail sector in zone
VELandUse	LocateEmployment	SvcEmp	Number of jobs in service sector in zone

Module Outputs

FreeParkingSpaces: Number of free parking spaces available to the household
ParkingUnitCost: Daily cost for long-term parking (e.g., parking paid for on a monthly basis)
OtherParkingCost: Daily cost for parking at shopping locations or other locations of paid parking not including work
PaysForParking: Does worker pay for parking: 1 = yes, 0 = no
IsCashOut: Is worker part of a cash-out-buy-back program: 1 = yes, 0 = no
ParkingCost: Daily cost for long-term parking (e.g., parking paid for on a monthly basis)

For more information see here

10.2.11 AssignDemandManagement

This module assigns demand management program participation to households and to workers. Households are assigned to individualized marketing program participation. Workers are assigned to employee commute options participation. The module computes the net proportional reduction in household daily VMT (DVMT) based on the participation in travel demand management programs.

User Input Files

Demand Management (bzone_travel_demand_mgt.csv)

This file contains the information about workers and households participating in demand management programs. Users should use available local data on travel demand management programs to develop this input. * EcoProp: Proportion of workers working in Bzone who participate in strong employee commute options program (can also be used to approximate the impacts of teleworking) * ImpProp: Proportion of households residing in Bzone who participate in strong individualized marketing program

Here is a snapshot of the file:

Geo	Year	EcoProp	ImpProp
D410290014002	2010	0.0	0.0
D410290013012	2010	0.2	0.4
D410290014001	2010	0.2	0.4
D410290014003	2010	0.0	0.0
D410290013021	2010	0.0	0.0

Internal Module Inputs

Package	Module	Outputs	Description
VESimHouseholds	CreateHouseholds	HhId	Household id
VESimHouseholds	CreateHouseholds	HHSize	Number of persons in the household
VESimHouseholds	PredictWorkers	Workers	Total workers in the household

Module Outputs

IsIMP: Identifies whether household is participant in travel demand management individualized marketing program (IMP): 1 = yes, 0 = no
PropTdmDvmtReduction: Proportional reduction in household DVMT due to participation in travel demand management programs
IsECO: Identifies whether worker is a participant in travel demand management employee commute options program: 1 = yes, 0 = no

For more information see here

10.2.12 AssignCarSvcAvailability

This module reads in and assigns ‘car service’ availability in Bzones. Car services include taxis, car sharing services (e.g. Car-To-Go, Zipcar), and future automated taxi services. A high level of car service is increases household car availability – similar to owning a car. Low levels of car service does not have competitive access time and therefore does not increase household car availability.

User Input Files

Car Service Availability (bzone_carsvc_availability.csv)

This file contains the information about level of car service availability and contains a value of either Low or High for Bzones. High means car service access is competitive with household owned car and will impact household vehicle ownership; Low is not competitive and will not impact household vehicle ownership.

Here is a snapshot of the file:

Geo	Year	CarSvcLevel
D410290014002	2010	Low
D410290013012	2010	Low
D410290014001	2010	Low
D410290014003	2010	Low
D410290013021	2010	Low

Internal Module Inputs

This module does not have any internal module inputs

Module Outputs

CarSvcLevel: Level of car service availability for household. High means access is competitive with household owned car; Low is not competitive.

For more information see here

10.2.13 AssignTransitService

This module assigns transit service level to the metropolitan area (Marea) and neighborhoods (Bzones). Annual revenue-miles (i.e. transit miles in revenue service) by transit mode type are read from an input file. The following eight modes are recognized:

DR = Demand-responsive
VP = Vanpool and similar
MB = Standard motor bus
RB = Bus rapid transit and commuter bus
MG = Monorail/automated guideway
SR = Streetcar/trolley bus/inclined plain
HR = Heavy Rail/Light Rail
CR = Commuter Rail/Hybrid Rail/Cable Car/Aerial Tramway

Revenue miles are converted to bus (i.e., MB) equivalents using factors derived from urbanized area data from the National Transit Database (NTD). Bus-equivalent revenue miles are used in models which predict vehicle ownership and household DVMT.

Revenue miles by mode type are also translated (using NTD data) into vehicle miles by three vehicle types: van, bus, and rail. Miles by vehicle type are used to calculate public transit energy consumption and emissions.

User Input Files

Transit Service for Marea (marea_transit_service.csv)

This file contains annual revenue-miles for different transit modes for metropolitan area. Data to develop this input can be sourced from the Federal Transit Administration NTD.

DRRevMi: Annual revenue-miles of demand-responsive public transit service
VPRevMi: Annual revenue-miles of van-pool and similar public transit service
MBRevMi: Annual revenue-miles of standard bus public transit service
RBRevMi: Annual revenue-miles of rapid-bus and commuter bus public transit service
MGRevMi: Annual revenue-miles of monorail and automated guideway public transit service
SRRevMi: Annual revenue-miles of streetcar and trolleybus public transit service
HRRevMi: Annual revenue-miles of light rail and heavy rail public transit service
CRRevMi: Annual revenue-miles of commuter rail, hybrid rail, cable car, and aerial tramway public transit service

Here is a snapshot of the file:

Geo	Year	DRRevMi	VPRevMi	MBRevMi	RBRevMi	MGRevMi	SRRevMi	HRRevMi	CRRevMi
RVMPO	2010	382639	0	607922	0	0	0	0	0
RVMPO	2038	2381995	0	3580237	0	0	0	0	0

Transit service for Bzone (bzone_transit_service.csv)

This file supplies the data on relative public transit accessibility at the Bzone level. The data to inform this input can be sourced from the EPA’s Smart Location Database.

D4c: Aggregate frequency of transit service within 0.25 miles of block group boundary per hour during evening peak period (Ref: EPA 2010 Smart Location Database)

Here is a snapshot of the file:

Geo	Year	D4c
D410290014002	2010	0
D410290013012	2010	0
D410290014001	2010	0
D410290014003	2010	0
D410290013021	2010	0

Internal Module Inputs

Package	Module	Outputs	Description
VELandUse	AssignLocTypes	UrbanPop	Urbanized area population

Module Outputs

TranRevMiPC: Ratio of annual bus-equivalent revenue-miles (i.e., revenue-miles at the same productivity - passenger miles per revenue mile - as standard bus) to urbanized area population
VanDvmt: Total daily miles traveled by vans of various sizes to provide demand responsive, vanpool, and similar services.
BusDvmt: Total daily miles traveled by buses of various sizes to provide bus service of various types.
RailDvmt: Total daily miles traveled by light rail, heavy rail, commuter rail, and similar types of vehicles.

For more information see here

10.2.14 AssignRoadMiles

This module assigns freeway and arterial lane-miles to metropolitan areas (Marea) and calculates freeway lane-miles per capita.

User Input Files

Lane-Miles (marea_lane_miles.csv)

This file contains inputs on the numbers of freeway lane-miles and arterial lane-miles by Marea and year. The data to develop this input can be sourced from the FHWA Highway Performance Monitoring System (HPMS), using either the HPMS geospatial data or Highway Statistics, or the State DOT.

FwyLaneMi: Lane-miles of roadways functionally classified as freeways or expressways in the urbanized portion of the metropolitan area
ArtLaneMi: Lane-miles of roadways functionally classified as arterials (but not freeways or expressways) in the urbanized portion of the metropolitan area

Here is a snapshot of the file:

Geo	Year	FwyLaneMi	ArtLaneMi
RVMPO	2010	91	356
RVMPO	2038	97	371

Internal Module Inputs

Package	Module	Outputs	Description
VELandUse	AssignLocTypes	UrbanPop	Urbanized area population

Module Outputs

FwyLaneMiPC: Ratio of urbanized area freeway and expressway lane-miles to urbanized area population

For more information see here

10.2.15 AssignDrivers

This module assigns drivers by age group to each household as a function of the numbers of persons and workers by age group, the household income, land use characteristics, and public transit availability.

User Input Files

Adjustment for Household Drivers (region_hh_driver_adjust_prop.csv)

This file is optional and can be used to adjust the estimate of household drivers by age cohort. The file specifies the relative driver licensing rate relative to the model estimation data year in order to account for observed or projected changes in licensing rates.

Drv15to19AdjProp: Target proportion of unadjusted model number of drivers 15 to 19 years old (1 = no adjustment)
Drv20to29AdjProp: Target proportion of unadjusted model number of drivers 20 to 29 years old (1 = no adjustment)
Drv30to54AdjProp: Target proportion of unadjusted model number of drivers 30 to 54 years old (1 = no adjustment)
Drv55to64AdjProp: Target proportion of unadjusted model number of drivers 55 to 64 years old (1 = no adjustment)
Drv65PlusAdjProp: Target proportion of unadjusted model number of drivers 65 or older (1 = no adjustment)

Here is a snapshot of the file:

Year	DrvPerPrsn15to19	Drv20to29AdjProp	Drv30to54AdjProp	Drv55to64AdjProp	Drv65PlusAdjProp
2010	0.8174609	0.9466447	0.9466447	0.9900000	0.9349951
2038	0.9091840	0.9091840	0.9091840	0.9508236	0.8979954

Internal Module Inputs

Package	Module	Outputs	Description
VETransportSupply	AssignTransitService	TranRevMiPC	Ratio of annual bus-equivalent revenue-miles (i.e. revenue-miles at the same productivity - passenger miles per revenue mile - as standard bus) to urbanized area population
VELandUse	Calculate4DMeasures	D1B	Gross population density (people/acre) on unprotected (i.e. developable) land in zone
VESimHouseholds	CreateHouseholds	HhId	Household id
VESimHouseholds	CreateHouseholds	Age15to19	Persons in 15 to 19 year old age group
VESimHouseholds	CreateHouseholds	Age20to29	Persons in 20 to 29 year old age group
VESimHouseholds	CreateHouseholds	Age30to54	Persons in 30 to 54 year old age group
VESimHouseholds	CreateHouseholds	Age55to64	Persons in 55 to 64 year old age group
VESimHouseholds	CreateHouseholds	Age65Plus	Persons in 65 or older age group
VESimHouseholds	PredictIncome	Income	Total annual income of household
VESimHouseholds	CreateHouseholds	HHSize	Number of persons in the household
VELandUse	CalculateUrbanMixMeasure	IsUrbanMixNbrhd	Flag identifying whether household is (`1`) or is not (`0`) in urban mixed-use neighborhood
VELandUse	AssignLocTypes	LocType	Location type (Urban, Town, Rural) of the place where the household resides

Module Outputs

Drv15to19: Number of drivers 15 to 19 years old
Drv20to29: Number of drivers 20 to 29 years old
Drv30to54: Number of drivers 30 to 54 years old
Drv55to64: Number of drivers 55 to 64 years old
Drv65Plus: Number of drivers 65 or older
Drivers: Number of drivers in household
DrvAgePersons: Number of people 15 year old or older in the household

For more information see here

10.2.16 AssignVehicleOwnership

This module determines the number of vehicles owned or leased by each household as a function of household characteristics, land use characteristics, and transportation system characteristics.

User Input Files

This module has no user input requirements.

Internal Module Inputs

Package	Module	Outputs	Description
VETransportSupply	AssignTransitService	TranRevMiPC	Ratio of annual bus-equivalent revenue-miles to urbanized area population
VELandUse	Calculate4DMeasures	D1B	Gross population density (people/acre) on unprotected (i.e. developable) land in zone
VESimHouseholds	PredictWorkers	Workers	Total workers in the household
VEHouseholdVehicles	AssignDrivers	Drivers	Number of drivers in household
VESimHouseholds	CreateHouseholds	Age65Plus	Persons in 65 or older age group
VELandUse	PredictHousing	HouseType	Type of dwelling unit of the household
VESimHouseholds	PredictIncome	Income	Total annual income of household
VESimHouseholds	CreateHouseholds	HHSize	Number of persons in the household
VELandUse	CalculateUrbanMixMeasure	IsUrbanMixNbrhd	Flag identifying whether household is (`1`) or is not (`0`) in urban mixed-use neighborhood
VELandUse	AssignLocTypes	LocType	Location type (Urban, Town, Rural) of the place where the household resides

Module Outputs

Vehicles: Number of automobiles and light trucks owned or leased by the household including high level car service vehicles available to driving-age persons

For more information see here

10.2.17 AssignVehicleType

This module identifies how many household vehicles are light trucks and how many are automobiles. Light trucks include pickup trucks, sport utility vehicles, vans, and any other vehicle not classified as a passenger car. Automobiles are vehicles classified as passenger cars.

User Input Files

Light Truck Proportion for Household Vehicles (azone_lttrk_prop.csv)

This file specifies the light truck proportion of the vehicle fleet. The user can be developed from local registration data. Alternatively, if MOVES is available for the model region, this input can be calculated from the MOVES vehicle population data (SourceTypeYear). The vehicle types used in MOVES (SourceType) correspond with the two categories of passenger vehicles used in EERPAT: MOVES SourceType 21, Passenger Car, is equivalent to autos in EERPAT and MOVES Source Type 31, Passenger Truck, is equivalent to light trucks.

LtTrkProp: Proportion of household vehicles that are light trucks (pickup, SUV, van).

Here is a snapshot of the file:

Geo	Year	LtTrkProp
RVMPO	2010	0.45
RVMPO	2038	0.34

Internal Module Inputs

Package	Module	Outputs	Description
VELandUse	Calculate4DMeasures	D1B	Gross population density (people/acre) on unprotected (i.e. developable) land in zone
VESimHouseholds	CreateHouseholds	HhId	Household id
VESimHouseholds	CreateHouseholds	Age0to14	Persons in 0 to 14 year old age group
VESimHouseholds	CreateHouseholds	Age15to19	Persons in 15 to 19 year old age group
VEHouseholdVehicles	AssignDrivers	Drivers	Number of drivers in household
VEHouseholdVehicles	AssignVehicleOwnership	Vehicles	Number of automobiles and light trucks owned or leased by the household including high level car service vehicles available to driving-age persons
VELandUse	PredictHousing	HouseType	Type of dwelling unit of the household
VESimHouseholds	PredictIncome	Income	Total annual income of household
VESimHouseholds	CreateHouseholds	HHSize	Number of persons in the household
VELandUse	CalculateUrbanMixMeasure	IsUrbanMixNbrhd	Flag identifying whether household is (`1`) or is not (`0`) in urban mixed-use neighborhood

Module Outputs

NumLtTrk: Number of light trucks (pickup, sport-utility vehicle, and van) owned or leased by household
NumAuto: Number of automobiles (i.e., four-tire passenger vehicles that are not light trucks) owned or leased by household

For more information see here

10.2.18 CreateVehicleTable

This module creates a vehicle table and populates it with household ID and geography fields.

10.2.18.1 User Input Files

Car Service Characteristics (azone_carsvc_characteristics.csv)

This file specifies the different characteristics for high and low car service levels by Azone. Changing this input is optional and using the default input values is standard practice.

HighCarSvcCost: Average cost in dollars per mile for travel by high service level car service exclusive of the cost of fuel, road use taxes, and carbon taxes (and any other social costs charged to vehicle use)
LowCarSvcCost: Average cost in dollars per mile for travel by low service level car service exclusive of the cost of fuel, road use taxes, and carbon taxes (and any other social costs charged to vehicle use)
AveCarSvcVehicleAge: Average age of car service vehicles in years
LtTrkCarSvcSubProp: The proportion of light-truck owners who would substitute a less-costly car service option for owning their light truck
AutoCarSvcSubProp: The proportion of automobile owners who would substitute a less-costly car service option for owning their automobile

Here is a snapshot of the file:

Geo	Year	HighCarSvcCost.2010	LowCarSvcCost.2010	AveCarSvcVehicleAge	LtTrkCarSvcSubProp	AutoCarSvcSubProp
RVMPO	2010	1	3	3	0.75	1
RVMPO	2038	1	3	3	0.75	1

Internal Module Inputs

Package	Module	Outputs	Description
VEHouseholdVehicles	AssignVehicleOwnership	Vehicles	Number of automobiles and light trucks owned or leased by the household including high level car service vehicles available to driving-age persons
VEHouseholdVehicles	AssignDrivers	DrvAgePersons	Number of people 15 year old or older in the household
VELandUse	AssignCarSvcAvailability	CarSvcLevel	Level of car service availability for household. High means access is competitive with household owned car. Low is not competitive.

Module Outputs

VehId: Unique vehicle ID
VehicleAccess: Identifier whether vehicle is owned by household (Own), if vehicle is low level car service (LowCarSvc), or if vehicle is high level car service (HighCarSvc)

For more information see here

10.2.19 AssignVehicleAge

This module assigns vehicle ages to each household vehicle. Vehicle age is assigned as a function of the vehicle type (auto or light truck), household income, and assumed mean vehicle age by vehicle type and Azone. Car service vehicles are assigned an age based on input assumptions with no distinction between vehicle type.

User Input Files

Vehicles Mean Age (azone_hh_veh_mean_age.csv)

This file provides inputs for mean auto age and mean light truck age by Azone. The user can develop this file using State DMV data.

AutoMeanAge: Mean age of automobiles owned or leased by households.
LtTrkMeanAge: Mean age of light trucks owned or leased by households.

Here is a snapshot of the file:

Geo	Year	AutoMeanAge	LtTrkMeanAge
RVMPO	2010	10.8	10.5
RVMPO	2038	12.0	12.0

Internal Module Inputs

Package	Module	Outputs	Description
VESimHouseholds	CreateHouseholds	HhId	Household id
VEHouseholdVehicles	CreateVehicleTable	VehId	Unique vehicle ID
VESimHouseholds	PredictIncome	Income	Total annual income of household
VEHouseholdVehicles	AssignVehicleOwnership	Vehicles	Number of automobiles and light trucks owned or leased by the household including high level car service vehicles available to driving-age persons
VEHouseholdVehicles	AssignVehicleType	NumLtTrk	Number of light trucks (pickup, sport-utility vehicle, and van) owned or leased by household
VEHouseholdVehicles	AssignVehicleType	NumAuto	Number of automobiles (i.e. 4-tire passenger vehicles that are not light trucks) owned or leased by household
VEHouseholdVehicles	CreateVehicleTable	VehicleAccess	Identifier whether vehicle is owned by household (Own), if vehicle is low level car service (LowCarSvc), or if vehicle is high level car service (`HighCarSvc`)

Module Outputs

Type: Vehicle body type: Auto = automobile, LtTrk = light trucks (i.e. pickup, SUV, Van)
Age: Vehicle age in years

For more information see here

10.2.20 CalculateVehicleOwnCost

This module calculates average vehicle ownership cost for each vehicle based on the vehicle type and age using data from the American Automobile Association (AAA). To this are added the cost of parking at the vehicle residence if free parking is not available for all household vehicles. The ownership cost is converted into an average ownership cost per mile by predicting the household DVMT, given the number of owned vehicles and splitting the miles equally among each vehicle.

User Input Files

Vehicle Ownership Taxes (azone_hh_veh_own_taxes.csv)

This file provides inputs for flat fees/taxes (i.e. annual cost per vehicle) and ad valorem taxes (i.e. percentage of vehicle value paid in taxes).

VehOwnFlatRateFee: Annual flat rate tax per vehicle in dollars
VehOwnAdValoremTax: Annual proportion of vehicle value paid in taxes

Here is a snapshot of the file:

Geo	Year	VehOwnFlatRateFee.2015	VehOwnAdValoremTax
RVMPO	2010	50	0.00
RVMPO	2038	0	0.01

Proportion of Pay-as-you-drive (PAYD) Insurance (azone_payd_insurance_prop.csv)

This file provides inputs on the proportion of households having PAYD insurance.

PaydHhProp: Proportion of households in the Azone who have pay-as-you-drive insurance for their vehicles

Here is a snapshot of the file:

Geo	Year	PaydHhProp
RVMPO	2010	0.01
RVMPO	2038	0.50

Internal Module Inputs

Package	Module	Outputs	Description
VESimHouseholds	CreateHouseholds	HhId	Household id
VEHouseholdVehicles	CreateVehicleTable	VehId	Unique vehicle ID
VEHouseholdVehicles	CreateVehicleTable	VehicleAccess	Identifier whether vehicle is owned by household (`Own`), if vehicle is low level car service (`LowCarSvc`), or if vehicle is high level car service (`HighCarSvc`)
VEHouseholdVehicles	AssignVehicleAge	Type	Vehicle body type: `Auto` = automobile, `LtTrk` = light trucks (i.e. pickup, SUV, Van)
VEHouseholdVehicles	AssignVehicleAge	Age	Vehicle age in years
VELandUse	AssignParkingRestrictions	FreeParkingSpaces	Number of free parking spaces available to the household
VELandUse	AssignParkingRestrictions	ParkingUnitCost	Daily cost for long-term parking (e.g. paid on monthly basis)
VEHouseholdVehicles	AssignDrivers	Drivers	Number of drivers in household
VEHouseholdVehicles	AssignDrivers	Drv15to19	Number of drivers 15 to 19 years old
VEHouseholdVehicles	AssignDrivers	Drv20to29	Number of drivers 20 to 29 years old
VEHouseholdVehicles	AssignDrivers	Drv30to54	Number of drivers 30 to 54 years old
VEHouseholdVehicles	AssignDrivers	Drv55to64	Number of drivers 55 to 64 years old
VEHouseholdVehicles	AssignDrivers	Drv65Plus	Number of drivers 65 and older
VESimHouseholds	PredictIncome	Income	Total annual income of household
VELandUse	AssignLocTypes	LocType	Location type (Urban, Town, Rural) of the place where the household resides
VEHouseholdVehicles	AssignVehicleType	NumLtTrk	Number of light trucks (pickup, sport-utility vehicle, and van) owned or leased by household
VEHouseholdVehicles	AssignVehicleType	NumAuto	Number of automobiles (i.e. 4-tire passenger vehicles that are not light trucks) owned or leased by household

Module Outputs

OwnCost: Annual cost of vehicle ownership including depreciation, financing, insurance, taxes, and residential parking in dollars
OwnCostPerMile: Annual cost of vehicle ownership per mile of vehicle travel (dollars per mile)
InsCost: Annual vehicle insurance cost in dollars
HasPaydIns: Identifies whether household has pay-as-you-drive insurance for vehicles: 1 = Yes, 0 = no

For more information see here

10.2.21 AdjustVehicleOwnership

This module adjusts household vehicle ownership based on a comparison of the cost of owning a vehicle per mile of travel compared to the cost per mile of using a car service in locations where the level of car service quality is high. The determination of whether car services are substituted for ownership also depends on input assumptions regarding the average likelihood that an owner would substitute car services for a household vehicle.

User Input Files

Car Service Characteristics (azone_carsvc_characteristics.csv)

This file specifies the different characteristics for high and low car service levels by Azone. Changing this input is optional and using the default input values is standard practice.

HighCarSvcCost: Average cost in dollars per mile for travel by high service level car service exclusive of the cost of fuel, road use taxes, and carbon taxes (and any other social costs charged to vehicle use)
LowCarSvcCost: Average cost in dollars per mile for travel by low service level car service exclusive of the cost of fuel, road use taxes, and carbon taxes (and any other social costs charged to vehicle use)
AveCarSvcVehicleAge: Average age of car service vehicles in years
LtTrkCarSvcSubProp: The proportion of light-truck owners who would substitute a less-costly car service option for owning their light truck
AutoCarSvcSubProp: The proportion of automobile owners who would substitute a less-costly car service option for owning their automobile

Here is a snapshot of the file:

Geo	Year	HighCarSvcCost.2010	LowCarSvcCost.2010	AveCarSvcVehicleAge	LtTrkCarSvcSubProp	AutoCarSvcSubProp
RVMPO	2010	1	3	3	0.75	1
RVMPO	2038	1	3	3	0.75	1

Internal Module Inputs

Package	Module	Outputs	Description
VESimHouseholds	CreateHouseholds	HhId	Household id
VEHouseholdVehicles	CreateVehicleTable	VehId	Unique vehicle ID
VEHouseholdVehicles	AssignVehicleOwnership	Vehicles	Number of automobiles and light trucks owned or leased by the household including high level car service vehicles available to driving-age persons
VEHouseholdVehicles	CreateVehicleTable	VehicleAccess	Identifier whether vehicle is owned by household (`Own`), if vehicle is low level car service (`LowCarSvc`), or if vehicle is high level car service (`HighCarSvc`)
VEHouseholdVehicles	AssignVehicleType	NumLtTrk	Number of light trucks (pickup, sport-utility vehicle, and van) owned or leased by household
VEHouseholdVehicles	AssignVehicleType	NumAuto	Number of automobiles (i.e. 4-tire passenger vehicles that are not light trucks) owned or leased by household
VELandUse	AssignCarSvcAvailability	CarSvcLevel	Level of car service availability for household. High means access is competitive with household owned car. Low is not competitive.
VEHouseholdVehicles	AssignVehicleAge	Type	Vehicle body type: `Auto` = automobile, `LtTrk` = light trucks (i.e. pickup, SUV, Van)
VEHouseholdVehicles	AssignVehicleAge	Age	Vehicle age in years
ouseholdVehicles	CalculateVehicleOwnCost	OwnCost	Annual cost of vehicle ownership including depreciation, financing, insurance, taxes, and residential parking in dollars
VEHouseholdVehicles	CalculateVehicleOwnCost	OwnCostPerMile	Annual cost of vehicle ownership per mile of vehicle travel (dollars per mile)
VEHouseholdVehicles	CalculateVehicleOwnCost	InsCost	Annual vehicle insurance cost in dollars

Module Outputs

VehicleAccess: Identifier whether vehicle is owned by household (Own), if vehicle is low level car service (LowCarSvc), or if vehicle is high level car service (HighCarSvc)
OwnCost: Annual cost of vehicle ownership per mile of vehicle travel (dollars per mile)
OwnCostPerMile:Annual cost of vehicle ownership per mile of vehicle travel (dollars per mile)
InsCost: Annual vehicle insurance cost in dollars
SwitchToCarSvc: Identifies whether a vehicle was switched from owned to car service
OwnCostSavings: Annual vehicle ownership cost (depreciation, finance, insurance, taxes) savings in dollars resulting from substituting the use of car services for a household vehicle
OwnCost:Annual household vehicle ownership cost (depreciation, finance, insurance, taxes) savings in dollars
Vehicles:Number of automobiles and light trucks owned or leased by the household including high level car service vehicles available to driving-age persons
NumLtTrk:Number of light trucks (pickup, sport-utility vehicle, and van) owned or leased by household
NumAuto:Number of automobiles (i.e. 4-tire passenger vehicles that are not light trucks) owned or leased by household
NumHighCarSvc:Number of high level service car service vehicles available to the household (difference between number of vehicles owned by the household and number of driving age persons for households having availability of high level car services

For more information see here

10.2.22 CalculateHouseholdDvmt

This module models household average daily vehicle miles traveled as a function of household characteristics, vehicle ownership, and attributes of the neighborhood and metropolitan area where the household resides.

User Input Files

This module has no user input requirements.

Internal Module Inputs

Package	Module	Outputs	Description
VETransportSupply	AssignTransitService	TranRevMiPC	Ratio of annual bus-equivalent revenue-miles (i.e. revenue-miles at the same productivity - passenger miles per revenue mile - as standard bus) to urbanized area population
VETransportSupply	AssignRoadMiles	FwyLaneMiPC	Ratio of urbanized area freeway and expressway lane-miles to urbanized area population
VELandUse	Calculate4DMeasures	D1B	Gross population density (people/acre) on unprotected (i.e., developable) land in zone
VESimHouseholds	CreateHouseholds	Age0to14	Persons in 0 to 14 year old age group
VEHouseholdVehicles	AssignDrivers	Drivers	Number of drivers in household
VESimHouseholds	PredictWorkers	Workers	Total workers in the household
VESimHouseholds	CreateHouseholds	HHSize	Number of persons in the household
VELandUse	AssignLocTypes	LocType	Location type (`Urban`, `Town`, `Rural`) of the place where the household resides
VEHouseholdVehicles	AssignVehicleOwnership	Vehicles	Number of automobiles and light trucks owned or leased by the household including high level car service vehicles available to driving-age persons
VESimHouseholds	PredictIncome	Income	Total annual income of household
VELandUse	CalculateUrbanMixMeasure	IsUrbanMixNbrhd	Flag identifying whether household is (`1`) or is not (`0`) in urban mixed-use neighborhood

Module Outputs

Dvmt: Average daily vehicle miles traveled by the household in autos or light trucks
UrbanHhDvmt: Average daily vehicle miles traveled in autos or light trucks by households residing in the urbanized portion of the Marea
TownHhDvmt: Average daily vehicle miles traveled in autos or light trucks by households residing in town (urban but not urbanized) portion of the Marea
RuralHhDvmt: Average daily vehicle miles traveled in autos or light trucks by households residing in the rural (non-urban) portion of the Marea

For more information see here

10.2.23 CalculateAltModeTrips

This module calculates household transit trips, walk trips, and bike trips. The models are sensitive to household DVMT so they are run after all household DVMT adjustments (e.g. to account for cost on household DVMT) are made.

User Input Files

This module has no user input requirements.

Internal Module Inputs

Package	Module	Outputs	Description
VETransportSupply	AssignTransitService	TranRevMiPC	Ratio of annual bus-equivalent revenue-miles (i.e. revenue-miles at the same productivity - passenger miles per revenue mile - as standard bus) to urbanized area population
VELandUse	Calculate4DMeasures	D1B	Gross population density (people/acre) on unprotected (i.e. developable) land in zone
VESimHouseholds	CreateHouseholds	Age15to19	Persons in 15 to 19 year old age group
VESimHouseholds	CreateHouseholds	Age20to29	Persons in 20 to 29 year old age group
VESimHouseholds	CreateHouseholds	Age30to54	Persons in 30 to 54 year old age group
VESimHouseholds	CreateHouseholds	Age55to64	Persons in 55 to 64 year old age group
VESimHouseholds	CreateHouseholds	Age65Plus	Persons in 65 or older age group
VESimHouseholds	CreateHouseholds	Age0to14	Persons in 0 to 14 year old age group
VESimHouseholds	CreateHouseholds	HHSize	Number of persons in the household
VELandUse	AssignLocTypes	LocType	Location type (`Urban`, `Town`, `Rural`) of the place where the household resides
VEHouseholdVehicles	AssignVehicleOwnership	Vehicles	Number of automobiles and light trucks owned or leased by the household including high level car service vehicles available to driving-age persons
VESimHouseholds	PredictIncome	Income	Total annual income of household
VELandUse	CalculateUrbanMixMeasure	IsUrbanMixNbrhd	Flag identifying whether household is (`1`) or is not (`0`) in urban mixed-use neighborhood
VEHouseholdTravel	CalculateHouseholdDvmt	Dvmt	Average daily vehicle miles traveled by the household in autos or light trucks

10.2.23.1 Module Outputs

WalkTrips: Average number of walk trips per year by household members
BikeTrips: Average number of bicycle trips per year by household members
TransitTrips:Average number of public transit trips per year by household members

For more information see here

10.2.24 CalculateVehicleTrips

This module calculates average daily vehicle trips for households consistent with the household DVMT. An average trip length model is applied to estimate average length of household trips reflecting the characteristics of the household and the place where they live. The average trip length is divided into the average household DVMT to get an estimate of average number of daily vehicle trips.

User Input Files

This module has no user input requirements.

Internal Module Inputs

Package	Module	Outputs	Description
VETransportSupply	AssignRoadMiles	FwyLaneMiPC	Ratio of urbanized area freeway and expressway lane-miles to urbanized area population
VELandUse	Calculate4DMeasures	D1B	Gross population density (people/acre) on unprotected (i.e. developable) land in zone
VESimHouseholds	CreateHouseholds	HHSize	Number of persons in the household
VELandUse	AssignLocTypes	LocType	Location type (Urban, Town, Rural) of the place where the household resides
VEHouseholdVehicles	AssignVehicleOwnership	Vehicles	Number of automobiles and light trucks owned or leased by the household including high level car service vehicles available to driving-age persons
VEHouseholdVehicles	AssignDrivers	Drivers	Number of drivers in household
VESimHouseholds	PredictIncome	Income	Total annual income of household
VELandUse	CalculateUrbanMixMeasure	IsUrbanMixNbrhd	Flag identifying whether household is (`1`) or is not (`0`) in urban mixed-use neighborhood
VEHouseholdTravel	CalculateHouseholdDvmt	Dvmt	Average daily vehicle miles traveled by the household in autos or light trucks

Module Outputs

VehicleTrips: Average number of vehicle trips per day by household members
AveVehTripLen: Average household vehicle trip length in miles

For more information see here

10.2.25 DivertSovTravel

This module reduces household single-occupant vehicle (SOV) travel to achieve goals that are inputs to the model. The purpose of this module is to enable users to do ‘what if’ analysis of the potential of light-weight vehicles (e.g. bicycles, electric bikes, electric scooters) and infrastructure to support their use to reduce SOV travel.

Note: SOV DVMT reduction is only applied to households in urban and town location types (LocTypes) because it is unlikely that actions/services could be provided in rural areas that could significantly divert SOV DVMT to bicycles, electric bicycles, scooters or other similar modes.

10.2.25.1 User Input Files

10.2.25.1.1 Proportion of Diverted SOV Travel (azone_prop_sov_dvmt_diverted.csv)

This file provides inputs for a goal for diverting a portion of SOV travel within a 20-mile tour distance (round trip distance). The user can use local household travel survey data (if available) to develop this input.

PropSovDvmtDiverted: Goals for the proportion of household DVMT in single occupant vehicle tours with round-trip distances of 20 miles or less be diverted to bicycling or other slow speed modes of travel

Here is a snapshot of the file:

Geo	Year	PropSovDvmtDiverted
RVMPO	2010	0.04
RVMPO	2038	0.80

Internal Module Inputs

Package	Module	Outputs	Description
VETransportSupply	AssignRoadMiles	FwyLaneMiPC	Ratio of urbanized area freeway and expressway lane-miles to urbanized area population
VELandUse	Calculate4DMeasures	D1B	Gross population density (people/acre) on unprotected (i.e. developable) land in zone
VESimHouseholds	CreateHouseholds	HHSize	Number of persons in the household
VELandUse	AssignLocTypes	LocType	Location type (`Urban`, `Town`, `Rural`) of the place where the household resides
VEHouseholdVehicles	AssignVehicleOwnership	Vehicles	Number of automobiles and light trucks owned or leased by the household including high level car service vehicles available to driving-age persons
VEHouseholdVehicles	AssignDrivers	Drivers	Number of drivers in household
VESimHouseholds	PredictIncome	Income	Total annual income of household
VELandUse	CalculateUrbanMixMeasure	IsUrbanMixNbrhd	Flag identifying whether household is (`1`) or is not (`0`) in urban mixed-use neighborhood
VEHouseholdTravel	CalculateHouseholdDvmt	Dvmt	Average daily vehicle miles traveled by the household in autos or light trucks
VESimHouseholds	CreateHouseholds	Age0to14	Persons in 0 to 14 year old age group
VESimHouseholds	CreateHouseholds	Age15to19	Persons in 15 to 19 year old age group
VELandUse	PredictHousing	HouseType	Type of dwelling unit of the household

Module Outputs

PropDvmtDiverted: Proportion of household DVMT diverted to bicycling, electric bikes, or other ‘low-speed’ travel modes
AveTrpLenDiverted: Average length in miles of vehicle trips diverted to bicycling, electric bikes, or other ‘low-speed’ travel modes

For more information see here

10.2.26 Initialize-vepowertrainsandfuels

This module processes vehicle and fuel characteristics files that model users may optionally supply. When these files are supplied, modules in the package that compute carbon intensities of vehicle travel will use the user-supplied data instead of the datasets that are part of the package (see the LoadDefaultValues.R script).

User Input Files

Carbon Intensity of Electricity (azone_electricity_carbon_intensity.csv)

This input file specifies the carbon intensity of electricity by Azone. This input file is OPTIONAL and is only needed if the user wants to modify the carbon intensity of electricity.

ElectricityCI: Carbon intensity of electricity at point of consumption (grams CO2e per megajoule)

Here is a snapshot of the file:

Geo	Year	ElectricityCI
RVMPO	2010	153
RVMPO	2038	23

Average Fuel Carbon Intensity of Transit (marea_transit_ave_fuel_carbon_intensity.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the average carbon intensity of fuel used by transit.

TransitVanFuelCI: Average carbon intensity of fuel used by transit vans (grams CO2e per megajoule)
TransitBusFuelCI: Average carbon intensity of fuel used by transit buses (grams CO2e per megajoule)
TransitRailFuelCI: Average carbon intensity of fuel used by transit rail vehicles (grams CO2e per megajoule)

Here is a snapshot of the file:

Geo	Year	TransitVanFuelCI	TransitBusFuelCI	TransitRailFuelCI
RVMPO	2010	90.38	NA	NA
RVMPO	2038	72.30	NA	NA

Biofuels Proportions of Transit Fuels (marea_transit_biofuel_mix.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the biofuel used by transit services.

TransitEthanolPropGasoline: Ethanol proportion of gasoline used by transit vehicles
TransitBiodieselPropDiesel: Biodiesel proportion of diesel used by transit vehicles
TransitRngPropCng: Renewable natural gas proportion of compressed natural gas used by transit vehicles

Here is a snapshot of the file:

Geo	Year	TransitEthanolPropGasoline	TransitBiodieselPropDiesel	TransitRngPropCng
RVMPO	2010	0.1	0.05	0
RVMPO	2038	0.1	0.05	0

Transit Fuels Proportions by Transit Vehicle Type (marea_transit_fuel.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the transit fuels proportions.

VanPropDiesel: Proportion of non-electric transit van travel powered by diesel
VanPropGasoline: Proportion of non-electric transit van travel powered by gasoline
VanPropCng: Proportion of non-electric transit van travel powered by compressed natural gas
BusPropDiesel: Proportion of non-electric transit bus travel powered by diesel
BusPropGasoline: Proportion of non-electric transit bus travel powered by gasoline
BusPropCng: Proportion of non-electric transit bus travel powered by compressed natural gas
RailPropDiesel: Proportion of non-electric transit rail travel powered by diesel
RailPropGasoline: Proportion of non-electric transit rail travel powered by gasoline

Here is a snapshot of the file:

Geo	Year	VanPropDiesel	VanPropGasoline	VanPropCng	BusPropDiesel	BusPropGasoline	BusPropCng	RailPropDiesel	RailPropGasoline
RVMPO	2010	0	1	0	0.2	0	0.8	1	0
RVMPO	2038	0	1	0	0.2	0	0.8	1	0

10.2.26.0.1 Transit Powertrain Proportions by Transit Vehicle Type (marea_transit_powertrain_prop.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the mixes of transit vehicle powertrains.

VanPropIcev: Proportion of transit van travel using internal combustion engine powertrains
VanPropHev: Proportion of transit van travel using hybrid electric powertrains
VanPropBev: Proportion of transit van travel using battery electric powertrains
BusPropIcev: Proportion of transit bus travel using internal combustion engine powertrains
BusPropHev: Proportion of transit bus travel using hybrid electric powertrains
BusPropBev: Proportion of transit bus travel using battery electric powertrains
RailPropIcev: Proportion of transit rail travel using internal combustion engine powertrains
RailPropHev: Proportion of transit rail travel using hybrid electric powertrains
RailPropEv: Proportion of transit rail travel using electric powertrains

Here is a snapshot of the file:

Geo	Year	VanPropIcev	VanPropHev	VanPropBev	BusPropIcev	BusPropHev	BusPropBev	RailPropIcev	RailPropHev	RailPropEv
RVMPO	2010	1	0	0	1	0	0	0	0	1
RVMPO	2038	1	0	0	1	0	0	0	0	1

10.2.26.0.2 Average Carbon Intensities of Fuels (region_ave_fuel_carbon_intensity.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the average carbon density for different vehicle types for the model region.

HhFuelCI: Average carbon intensity of fuels used by household vehicles (grams CO2e per megajoule)
CarSvcFuelCI: Average carbon intensity of fuels used by car service vehicles (grams CO2e per megajoule)
ComSvcFuelCI: Average carbon intensity of fuels used by commercial service vehicles (grams CO2e per megajoule)
HvyTrkFuelCI: Average carbon intensity of fuels used by heavy trucks (grams CO2e per megajoule)
TransitVanFuelCI: Average carbon intensity of fuels used by transit vans (grams CO2e per megajoule)
TransitBusFuelCI: Average carbon intensity of fuels used by transit buses (grams CO2e per megajoule)
TransitRailFuelCI: Average carbon intensity of fuels used by transit rail vehicles (grams CO2e per megajoule)

Here is a snapshot of the file:

Geo	Year	HhFuelCI	CarSvcFuelCI	ComSvcFuelCI	HvyTrkFuelCI	TransitVanFuelC	TransitBusFuelC	TransitRailFuel
RVMPO	2010	90.23	90.23	90.23	NA	NA	NA	NA
RVMPO	2038	72.30	72.30	72.30	NA	NA	NA	NA

10.2.26.0.3 Car Service Vehicle Powertrains (region_carsvc_powertrain_prop.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the powertrain proportion of car services.

CarSvcAutoPropIcev: Proportion of car service automobile travel powered by internal combustion engine powertrains
CarSvcAutoPropHev: Proportion of car service automobile travel powered by hybrid electric powertrains
CarSvcAutoPropBev: Proportion of car service automobile travel powered by battery electric powertrains
CarSvcLtTrkPropIcev: Proportion of car service light truck travel powered by internal combustion engine powertrains
CarSvcLtTrkPropHev: Proportion of car service light truck travel powered by hybrid electric powertrains
CarSvcLtTrkPropBev: Proportion of car service light truck travel powered by battery electric powertrains

Here is a snapshot of the file:

Geo	Year	CarSvcAutoPropIcev	CarSvcAutoPropHev	CarSvcAutoPropBev	CarSvcLtTrkPropIce	CarSvcLtTrkPropHev	CarSvcLtTrkPropBev
RVMPO	2010	0.990	0.010	0.000	1.0000	0.0000	0.0000
RVMPO	2038	0.441	0.528	0.031	0.5335	0.4572	0.0093

10.2.26.0.4 Commercial Service Vehicle Powertrains (region_comsvc_powertrain_prop.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the powertrain proportion of commercial vehicles.

ComSvcAutoPropIcev: Proportion of commercial service automobile travel powered by internal combustion engine powertrains
ComSvcAutoPropHev: Proportion of commercial service automobile travel powered by hybrid electric powertrains
ComSvcAutoPropBev: Proportion of commercial service automobile travel powered by battery electric powertrains
ComSvcLtTrkPropIcev: Proportion of commercial service light truck travel powered by internal combustion engine powertrains
ComSvcLtTrkPropHev: Proportion of commercial service light truck travel powered by hybrid electric powertrains
ComSvcLtTrkPropBev: Proportion of commercial service light truck travel powered by battery electric powertrainss

Here is a snapshot of the file:

Geo	Year	ComSvcAutoPropIcev	ComSvcAutoPropHev	ComSvcAutoPropBev	ComSvcLtTrkPropIcev	ComSvcLtTrkPropHev	ComSvcLtTrkPropBev
RVMPO	2010	0.990	0.010	0.000	1.0000	0.0000	0.0000
RVMPO	2038	0.441	0.528	0.031	0.5335	0.4572	0.0093

10.2.26.0.5 Heavy duty Truck Powertrains (region_hvytrk_powertrain_prop.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the powertrain proportion of heavy duty trucks.

HvyTrkPropIcev: Proportion of heavy truck travel powered by internal combustion engine powertrains
HvyTrkPropHev: Proportion of heavy truck travel powered by hybrid electric powertrains
HvyTrkPropBev: Proportion of heavy truck travel powered by battery electric powertrains

Here is a snapshot of the file:

Geo	Year	HvyTrkPropIcev	HvyTrkPropHev	HvyTrkPropBev
RVMPO	2010	1.0	0.0	0.0
RVMPO	2038	0.4	0.4	0.2

Internal Module Inputs

This module uses no datasets that are in the datastore.

Module Outputs

This module produces no datasets to store in the datastore.

For more information see here

10.2.27 CalculateCarbonIntensity

This module calculates the average carbon intensity of fuels (grams CO2e per megajoule) by transportation mode and vehicle type. The transportation modes and vehicle types are:

Mode	Vehicle Types
Household	automobile, light truck
Car Service	automobile, light truck
Commercial Service	automobile, light truck
Heavy Truck	heavy truck
Public Transit	van, bus, rail

Average fuel carbon intensities for public transit vehicles are calculated by Marea. The average fuel carbon intensities for the other mode vehicles are calculated for the entire model region. The module also calculates the average carbon intensity of electricity at the Azone level. Note that this module uses the user input files only if the user runs Initialize module. Otherwise the module uses default inputs in the instfolder.

User Input Files

10.2.27.0.1 Carbon Intensity of Electricity (azone_electricity_carbon_intensity.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the carbon intensity of electricity.

ElectricityCI: Carbon intensity of electricity at point of consumption (grams CO2e per megajoule)

Here is a snapshot of the file:

Geo	Year	ElectricityCI
RVMPO	2010	153
RVMPO	2038	23

Internal Module Inputs

This module does not have any internal module inputs

Module Outputs

ElectricityCI: Carbon intensity of electricity at point of consumption (grams CO2e per megajoule)
HhAutoFuelCI: Average carbon intensity of fuels used by household automobiles (grams CO2e per megajoule)
HhLtTrkFuelCI: Average carbon intensity of fuels used by household light trucks (grams CO2e per megajoule)
CarSvcAutoFuelCI: Average carbon intensity of fuels used by car service automobiles (grams CO2e per megajoule)
CarSvcLtTrkFuelCI: Average carbon intensity of fuels used by car service light trucks (grams CO2e per megajoule)
ComSvcAutoFuelCI: Average carbon intensity of fuels used by commercial service automobiles (grams CO2e per megajoule)
ComSvcLtTrkFuelCI: Average carbon intensity of fuels used by commercial service light trucks (grams CO2e per megajoule)
HvyTrkFuelCI: Average carbon intensity of fuels used by heavy trucks (grams CO2e per megajoule)
TransitVanFuelCI: Average carbon intensity of fuel used by transit vans (grams CO2e per megajoule)
TransitBusFuelCI: Average carbon intensity of fuel used by transit buses (grams CO2e per megajoule)
TransitRailFuelCI: Average carbon intensity of fuel used by transit rail vehicles (grams CO2e per megajoule)

For more information see here

10.2.28 AssignHhVehiclePowertrain

This module assigns a powertrain type to each household vehicle. The powertrain types are internal combustion engine vehicle (ICEV), hybrid electric vehicle (HEV), plug-in hybrid electric vehicle (PHEV), and battery electric vehicles (BEV). The module also assigns related characteristics to household vehicles including:

Battery range (for PHEV and BEV)
Miles per gallon (MPG) and gallons per mile (GPM)
Miles per kilowatt-hour (MPKWH) and kilowatt-hours per mile (KWHPM)
Miles per gasoline gallon equivalent (MPGe)
The proportion of DVMT powered by electricity
Carbon dioxide equivalent emissions per mile powered by hydrocarbon fuel
Carbon dioxide equivalent emissions per mile powered by electricity

User Input Files

Charging Availability (azone_charging_availability.csv)

This input file supplies data on proportion of different household types with plug-in electric vehicle (PEV) charging available by Azone.

PropSFChargingAvail: Proportion of single-family dwellings in Azone that have PEV charging facilities installed or able to be installed
PropMFChargingAvail: Proportion of multifamily dwelling units in Azone that have PEV charging facilities available
PropGQChargingAvail: Proportion of group quarters dwelling units in Azone that have PEV charging facilities available

Here is a snapshot of the file:

Geo	Year	PropSFChargingAvail	PropMFChargingAvail	PropGQChargingAvail
RVMPO	2010	1	0.0	0
RVMPO	2038	1	0.2	0

10.2.28.0.1 Car Service Vehicle Powertrains (region_carsvc_powertrain_prop.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the powertrain proportion of car services.

CarSvcAutoPropIcev: Proportion of car service automobile travel powered by internal combustion engine powertrains
CarSvcAutoPropHev: Proportion of car service automobile travel powered by hybrid electric powertrains
CarSvcAutoPropBev: Proportion of car service automobile travel powered by battery electric powertrains
CarSvcLtTrkPropIcev: Proportion of car service light truck travel powered by internal combustion engine powertrains
CarSvcLtTrkPropHev: Proportion of car service light truck travel powered by hybrid electric powertrains
CarSvcLtTrkPropBev: Proportion of car service light truck travel powered by battery electric powertrains

Here is a snapshot of the file:

Geo	Year	CarSvcAutoPropIcev	CarSvcAutoPropHev	CarSvcAutoPropBev	CarSvcLtTrkPropIce	CarSvcLtTrkPropHev	CarSvcLtTrkPropBev
RVMPO	2010	0.990	0.010	0.000	1.0000	0.0000	0.0000
RVMPO	2038	0.441	0.528	0.031	0.5335	0.4572	0.0093

Internal Module Inputs

Package	Module	Outputs	Description
VEPowertrainsAndFuels	CalculateCarbonIntensity	ElectricityCI	Carbon intensity of electricity at point of consumption (grams CO2e per megajoule)
VEPowertrainsAndFuels	CalculateCarbonIntensity	HhAutoFuelCI	Average carbon intensity of fuels used by household automobiles (grams CO2e per megajoule))
VEPowertrainsAndFuels	CalculateCarbonIntensity	HhLtTrkFuelCI	Average carbon intensity of fuels used by household light trucks (grams CO2e per megajoule)
VEPowertrainsAndFuels	CalculateCarbonIntensity	CarSvcAutoFuelCI	Average carbon intensity of fuels used by car service automobiles (grams CO2e per megajoule)
VEPowertrainsAndFuels	CalculateCarbonIntensity	CarSvcLtTrkFuelCI	Average carbon intensity of fuels used by car service light trucks (grams CO2e per megajoule)
ESimHouseholds	CreateHouseholds	HhId	Household id
VELandUse	AssignLocTypes	LocType	Location type (Urban, Town, Rural) of the place where the household resides
VEHouseholdVehicles	AssignVehicleOwnership	Vehicles	Number of automobiles and light trucks owned or leased by the household including high level car service vehicles available to driving-age persons
VEHouseholdVehicles	AssignVehicleType	NumAuto	Number of automobiles (i.e. 4-tire passenger vehicles that are not light trucks) owned or leased by household
VEHouseholdVehicles	AssignVehicleType	NumLtTrk	Number of light trucks (pickup, sport-utility vehicle, and van) owned or leased by household
VELandUse	PredictHousing	HouseType	Type of dwelling unit of the household
VEHouseholdTravel	CalculateHouseholdDvmt	Dvmt	Average daily vehicle miles traveled by the household in autos or light trucks
VEHouseholdVehicles	CreateVehicleTable	VehId	Unique vehicle ID
VEHouseholdVehicles	AssignVehicleAge	Type	Vehicle body type: Auto = automobile, LtTrk = light trucks (i.e. pickup, SUV, Van)
VEHouseholdVehicles	AssignVehicleAge	Age	Vehicle age in years
VEHouseholdVehicles	CreateVehicleTable	VehicleAccess	Identifier whether vehicle is owned by household (Own), if vehicle is low level car service (LowCarSvc), or if vehicle is high level car service (HighCarSvc)

Module Outputs

Powertrain: Vehicle powertrain type: ICEV = internal combustion engine vehicle, HEV = hybrid electric vehicle, PHEV = plug-in hybrid electric vehicle, BEV = battery electric vehicle, NA = not applicable because is a car service vehicle
BatRng: Miles of travel possible on fully charged battery
MPG: Average miles of vehicle travel powered by fuel per gasoline equivalent gallon
GPM: Average gasoline equivalent gallons per mile of vehicle travel powered by fuel
MPKWH: Average miles of vehicle travel powered by electricity per kilowatt-hour
KWHPM: Average kilowatt-hours per mile of vehicle travel powered by electricity
MPGe: Average miles of vehicle travel per gasoline equivalent gallon (fuel and electric powered)
ElecDvmtProp: Average miles of vehicle travel per gasoline equivalent gallon (fuel and electric powered)
FuelCO2ePM: Average grams of carbon-dioxide equivalents produced per mile of travel powered by fuel
ElecCO2ePM: Average grams of carbon-dioxide equivalents produced per mile of travel powered by electricity

For more information see here

10.2.29 Initialize-vetravelperformance

This module reads and processes roadway DVMT and operations inputs. The following input files are optional. If these data are not provided, the model calculates values based on default data included with the package and processed by the LoadDefaultRoadDvmtValues.R script.

User Input Files

Base Year Heavy Truck DVMT (region_base_year_dvmt.csv)

This input file is OPTIONAL. It is only needed if the user wants to adjust heavy truck DVMT for base year

HvyTrkDvmtGrowthBasis: Factor used to grow heavy truck DVMT from base year value
HvyTrkDvmt: Average daily vehicle miles of travel on roadways in the region by heavy trucks during he base year
ComSvcDvmtGrowthBasis: Factor used to grow commercial service vehicle DVMT in Marea from base year value

Here is a snapshot of the file:

StateAbbrLookup	HvyTrkDvmtGrowthBasis	HvyTrkDvmt	ComSvcDvmtGrowthBasis
	Income	NA	Population

Base Year DVMT (marea_base_year_dvmt.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the adjust dvmt growth factors from base year in by Marea

UrbanLdvDvmt: Average daily vehicle miles of travel on roadways in the urbanized portion of the Marea by light-duty vehicles during the base year
UrbanHvyTrkDvmt: Average daily vehicle miles of travel on roadways in the urbanized portion of the Marea by heavy trucks during he base year

Here is a snapshot of the file:

Geo	UzaNameLookup	UrbanLdvDvmt	UrbanHvyTrkDvmt
RVMPO	Medford/OR	NA	NA

DVMT Split by Road Class (marea_dvmt_split_by_road_class.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the DVMT split for different road classes. This data can be derived from the FHWA Highway Statistics data.

LdvFwyArtDvmtProp: Proportion of light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeway or aerial roadways
LdvOthDvmtProp: Proportion of light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on other roadways
HvyTrkFwyDvmtProp: Proportion of heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
HvyTrkArtDvmtProp: Proportion of heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial rdways
HvyTrkOthDvmtProp: Proportion of heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on other roadways
BusFwyDvmtProp: Proportion of bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
BusArtDvmtProp: Proportion of bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
BusOthDvmtProp: Proportion of bus daily vehicle miles of travel in the urbanized portion of the Marea occuring on other roadways

Here is a snapshot of the file:

Geo	LdvFwyDvmtProp	LdvArtDvmtProp	LdvOthDvmtProp	HvyTrkFwyDvmtProp	HvyTrkArtDvmtProp	HvyTrkOthDvmtProp	BusFwyDvmtProp	BusArtDvmtProp	BusOthDvmtProp
RVMPO	0.2632296	0.47739	0.2593804				0	0.6962986	0.3037014

Operations Deployment Effects on DVMT (marea_operations_deployment.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the proportion of DVMT affected by operations for different road classes.

RampMeterDeployProp: Proportion of freeway DVMT affected by ramp metering deployment
IncidentMgtDeployProp: Proportion of freeway DVMT affected by incident management deployment
SignalCoordDeployProp: Proportion of arterial DVMT affected by signal coordination deployment
AccessMgtDeployProp: Proportion of arterial DVMT affected by access management deployment
OtherFwyOpsDeployProp: Proportion of freeway DVMT affected by deployment of other user-defined freeway operations measures
OtherArtOpsDeployProp: Proportion of arterial DVMT affected by deployment of other user-defined arterial operations measures

Here is a snapshot of the file:

Geo	Year	RampMeterDeployProp	IncidentMgtDeployProp	SignalCoordDeployProp	AccessMgtDeployProp	OtherFwyOpsDeployProp	OtherArtOpsDeployProp
RVMPO	2010	0.00	0.50	0.50	0.00	0	0
RVMPO	2038	0.95	0.95	0.95	0.24	0	0

Other Operations Effects (other_ops_effectiveness.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the other delay effects of operations in different road classes

Level: Congestion levels: None = none, Mod = moderate, Hvy = heavy, Sev = severe, Ext = extreme
Art_Rcr: Percentage reduction of recurring arterial delay that would occur with full deployment of other user-defined arterial operations measures
Art_NonRcr: Percentage reduction of non-recurring arterial delay that would occur with full deployment of other user-defined arterial operations measures
Fwy_Rcr: Percentage reduction of recurring freeway delay that would occur with full deployment of other user-defined freeway operations measures
Fwy_NonRcr: Percentage reduction of non-recurring freeway delay that would occur with full deployment of other user-defined freeway operations measures

Here is a snapshot of the file:

Level	Art_Rcr	Art_NonRcr	Fwy_Rcr	Fwy_NonRcr	AccessMgtDeployProp	OtherFwyOpsDeployProp	OtherArtOpsDeployProp
None	0	0	0	0	0	0	0
Mod	0	0	0	0	0	0	0
Hvy	0	0	0	0	0	0	0
sev	0	0	0	0	0	0	0
Ext	0	0	0	0	0	0	0

Congestion Charges (marea_congestion_charges.csv)

This input file is OPTIONAL. It is only needed if the user wants to add a congestion charge policy for vehicle travel using different congestion levels and roadway classes.

FwyNoneCongChg: Charge per mile (U.S. dollars) of vehicle travel on freeways during periods of no congestion
FwyModCongChg: Charge per mile (U.S. dollars) of vehicle travel on freeways during periods of moderate congestion
FwyHvyCongChg: Charge per mile (U.S. dollars) of vehicle travel on freeways during periods of heavy congestion
FwySevCongChg: Charge per mile (U.S. dollars) of vehicle travel on freeways during periods of severe congestion
FwyExtCongChg: Charge per mile (U.S. dollars) of vehicle travel on freeways during periods of extreme congestion
ArtNoneCongChg: Charge per mile (U.S. dollars) of vehicle travel on arterials during periods of no congestion
ArtModCongChg: Charge per mile (U.S. dollars) of vehicle travel on arterials during periods of moderate congestion
ArtHvyCongChg: Charge per mile (U.S. dollars) of vehicle travel on arterials during periods of heavy congestion
ArtSevCongChg: Charge per mile (U.S. dollars) of vehicle travel on arterials during periods of severe congestion
ArtExtCongChg: Charge per mile (U.S. dollars) of vehicle travel on arterials during periods of extreme congestion

Here is a snapshot of the file:

Geo	Year	FwyNoneCongChg.2010	FwyModCongChg.2010	FwyHvyCongChg.2010	FwySevCongChg.2010	FwyExtCongChg.2010	ArtNoneCongChg.2010	ArtModCongChg.2010	ArtHvyCongChg.2010	ArtSevCongChg.2010	ArtExtCongChg.2010
RVMPO	2010	0	0	0	0.0	0.0	0	0	0	0	0
RVMPO	2038	0	0	0	0.1	0.2	0	0	0	0	0

Internal Module Inputs

This module uses no datasets that are in the datastore.

Module Outputs

This module produces no datasets to store in the datastore.

10.2.30 CalculateBaseRoadDvmt

This module calculates base year roadway DVMT by vehicle type (light-duty, heavy truck, bus) and the distribution of roadway DVMT by vehicle type to roadway classes (freeway, arterial, other) This module uses optional user inputs if Initialize module is run. Otherwise, it uses default data in instfolder

User Input Files

Base Year Heavy Truck DVMT (region_base_year_dvmt.csv)

This input file is OPTIONAL. It is only needed if the user wants to adjust heavy truck DVMT for base year

HvyTrkDvmtGrowthBasis: Factor used to grow heavy truck DVMT from base year value
HvyTrkDvmt: Average daily vehicle miles of travel on roadways in the region by heavy trucks during he base year
ComSvcDvmtGrowthBasis: Factor used to grow commercial service vehicle DVMT in Marea from base year value

Here is a snapshot of the file:

StateAbbrLookup	HvyTrkDvmtGrowthBasis	HvyTrkDvmt	ComSvcDvmtGrowthBasis
	Income	NA	Population

Base Year DVMT (marea_base_year_dvmt.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the adjust dvmt growth factors from base year in by Marea

UrbanLdvDvmt: Average daily vehicle miles of travel on roadways in the urbanized portion of the Marea by light-duty vehicles during the base year
UrbanHvyTrkDvmt: Average daily vehicle miles of travel on roadways in the urbanized portion of the Marea by heavy trucks during he base year

Here is a snapshot of the file:

Geo	UzaNameLookup	UrbanLdvDvmt	UrbanHvyTrkDvmt
RVMPO	Medford/OR	NA	NA

DVMT Split by Road Class (marea_dvmt_split_by_road_class.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the dvmt split for different road classes. This data can be derived from the FHWA Highway Statistics data.

LdvFwyArtDvmtProp: Proportion of light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeway or aerial roadways
LdvOthDvmtProp: Proportion of light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on other roadways
HvyTrkFwyDvmtProp: Proportion of heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
HvyTrkArtDvmtProp: Proportion of heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial rdways
HvyTrkOthDvmtProp: Proportion of heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on other roadways
BusFwyDvmtProp: Proportion of bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
BusArtDvmtProp: Proportion of bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
BusOthDvmtProp: Proportion of bus daily vehicle miles of travel in the urbanized portion of the Marea occuring on other roadways

Here is a snapshot of the file:

Geo	LdvFwyDvmtProp	LdvArtDvmtProp	LdvOthDvmtProp	HvyTrkFwyDvmtProp	HvyTrkArtDvmtProp	HvyTrkOthDvmtProp	BusFwyDvmtProp	BusArtDvmtProp	BusOthDvmtProp
RVMPO	0.2632296	0.47739	0.2593804				0	0.6962986	0.3037014

Internal Module Inputs

Package	Module	Outputs	Description
VETransportSupply	AssignTransitService	VanDvmt	Total daily miles traveled by vans of various sizes to provide demand responsive, vanpool, and similar services
VETransportSupply	AssignTransitService	BusDvmt	Total daily miles traveled by buses of various sizes to provide bus service of various types
VETransportSupply	AssignTransitService	RailDvmt	Total daily miles traveled by light rail, heavy rail, commuter rail, and similar types of vehicles
VELandUse	AssignLocTypes	UrbanPop	Urbanized area population
VELandUse	AssignLocTypes	RuralPop	Rural (i.e. non-urbanized area) population
VELandUse	AssignLocTypes	RuralIncome	Total household income of the rural (i.e. non-urbanized area) population
VELandUse	AssignLocTypes	UrbanIncome	Total household income of the rural (i.e. non-urbanized area) population
VEHouseholdTravel	CalculateHouseholdDvmt	UrbanHhDvmt	Average daily vehicle miles traveled in autos or light trucks by households residing in the urbanized portion of the Marea
VEHouseholdTravel	CalculateHouseholdDvmt	RuralHhDvmt	Average daily vehicle miles traveled in autos or light trucks by households residing in the rural (non-urban) portion of the Marea

Module Outputs

HvyTrkDvmtUrbanProp: Proportion of Region heavy truck daily vehicle miles of travel occurring on urbanized area roadways
HvyTrkDvmtIncomeFactor: Ratio of Region base year heavy truck DVMT to household income
HvyTrkDvmtPopulationFactor: Ratio of Region base year heavy truck DVMT to population
HvyTrkUrbanDvmt: Base year Region heavy truck daily vehicle miles of travel in urbanized areas
HvyTrkRuralDvmt: Base year Region heavy truck daily vehicle miles of travel in rural (i.e. non-urbanized) areas
ComSvcDvmtHhDvmtFactor: Ratio of Marea base year commercial service DVMT to household DVMT
ComSvcDvmtIncomeFactor: Ratio of base year commercial service vehicle DVMT to household income
ComSvcDvmtPopulationFactor: Ratio of base year commercial service vehicle DVMT to population
HvyTrkDvmtPopulationFactor: Ratio of base year heavy truck DVMT to population
LdvRoadDvmtLdvDemandRatio: Ratio between light-duty vehicle (LDV) daily vehicle miles of travel (DVMT) on urbanized area roadways in the Marea to the total LDV DVMT of households residing in the urbanized area, the commercial service vehicle travel related to household demand, and LDV public transit DVMT.
ComSvcUrbanDvmt: Commercial service daily vehicle miles of travel associated with Marea urbanized household activity
ComSvcRuralDvmt: Commercial service daily vehicle miles of travel associated with Marea rural household activity
LdvFwyArtDvmtProp: Proportion of light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeway or arterial roadways
LdvOthDvmtProp: Proportion of light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on other roadways
HvyTrkFwyDvmtProp: Proportion of heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
HvyTrkArtDvmtProp: Proportion of heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
HvyTrkOthDvmtProp: Proportion of heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on other roadways
BusFwyDvmtProp: Proportion of bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
BusArtDvmtProp: Proportion of bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
BusOthDvmtProp: Proportion of bus daily vehicle miles of travel in the urbanized portion of the Marea occuring on other roadways
LdvFwyArtDvmt: Light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeway or arterial roadways
LdvOthDvmt: Light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on other roadways
HvyTrkFwyDvmt: Heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
HvyTrkArtDvmt:Heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
HvyTrkOthDvmt: Heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on other roadways
BusFwyDvmt: Bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
BusArtDvmt: Bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
BusOthDvmt: Bus daily vehicle miles of travel in the urbanized portion of the Marea occuring on other roadways

10.2.31 CalculateFutureRoadDvmt

This module calculates future year roadway DVMT by vehicle type (light-duty, heavy truck, bus) and the distribution of roadway DVMT by vehicle type to roadway classes (freeway, arterial, other) This module uses optional user inputs if Initialize module is run. Otherwise, it uses default data in instfolder

User Input Files

Base Year Heavy Truck DVMT (region_base_year_dvmt.csv)

This input file is OPTIONAL. It is only needed if the user wants to adjust heavy truck DVMT for base year

HvyTrkDvmtGrowthBasis: Factor used to grow heavy truck DVMT from base year value
HvyTrkDvmt: Average daily vehicle miles of travel on roadways in the region by heavy trucks during he base year
ComSvcDvmtGrowthBasis: Factor used to grow commercial service vehicle DVMT in Marea from base year value

Here is a snapshot of the file:

StateAbbrLookup	HvyTrkDvmtGrowthBasis	HvyTrkDvmt	ComSvcDvmtGrowthBasis
	Income	NA	Population

Base Year DVMT (marea_base_year_dvmt.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the adjust dvmt growth factors from base year in by Marea

UrbanLdvDvmt: Average daily vehicle miles of travel on roadways in the urbanized portion of the Marea by light-duty vehicles during the base year
UrbanHvyTrkDvmt: Average daily vehicle miles of travel on roadways in the urbanized portion of the Marea by heavy trucks during he base year

Here is a snapshot of the file:

Geo	UzaNameLookup	UrbanLdvDvmt	UrbanHvyTrkDvmt
RVMPO	Medford/OR	NA	NA

10.2.31.1 Internal Module Inputs

Package	Module	Outputs	Description
VETravelPerformance	CalculateBaseRoadDvmt	HvyTrkDvmtIncomeFactor	Ratio of Region base year heavy truck DVMT to household income
vetravelperformance	CalculateBaseRoadDvmt	HvyTrkDvmtUrbanProp	proportion of region heavy truck daily vehicle miles of travel occurring on urbanized area roadways
VETravelPerformance	CalculateBaseRoadDvmt	HvyTrkDvmtPopulationFactor	Ratio of Region base year heavy truck DVMT to population
VETravelPerformance	CalculateBaseRoadDvmt	LdvFwyArtDvmtProp	Proportion of light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeway or arterial roadways
VETravelPerformance	CalculateBaseRoadDvmt	LdvOthDvmtProp	Proportion of light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on other roadways
VETravelPerformance	CalculateBaseRoadDvmt	HvyTrkFwyDvmtProp	Proportion of heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
VETravelPerformance	CalculateBaseRoadDvmt	LdvOthDvmtProp	Proportion of heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
VETravelPerformance	CalculateBaseRoadDvmt	HvyTrkFwyDvmtProp	Proportion of heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
VETravelPerformance	CalculateBaseRoadDvmt	HvyTrkArtDvmtProp	Proportion of heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
VETravelPerformance	CalculateBaseRoadDvmt	HvyTrkOthDvmtProp	Proportion of heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on other roadways
VETravelPerformance	CalculateBaseRoadDvmt	BusFwyDvmtProp	Proportion of bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
VETravelPerformance	CalculateBaseRoadDvmt	BusArtDvmtProp	Proportion of bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
VETravelPerformance	CalculateBaseRoadDvmt	BusOthDvmtProp	Proportion of bus daily vehicle miles of travel in the urbanized portion of the Marea occuring on other roadways
VETravelPerformance	CalculateBaseRoadDvmt	ComSvcDvmtHhDvmtFactor	Ratio of Marea base year commercial service DVMT to household DVMT
VETravelPerformance	CalculateBaseRoadDvmt	ComSvcDvmtIncomeFactor	Ratio of base year commercial service vehicle DVMT to household income
VELandUse	CalculateBaseRoadDvmt	ComSvcDvmtPopulationFactor	Ratio of base year commercial service vehicle DVMT to population
VELandUse	CalculateBaseRoadDvmt	HvyTrkDvmtPopulationFactor	Ratio of base year heavy truck DVMT to population
VELandUse	CalculateBaseRoadDvmt	LdvRoadDvmtLdvDemandRatio	Ratio between light-duty vehicle (LDV) daily vehicle miles of travel (DVMT) on urbanized area roadways in the Marea to the total LDV DVMT of households residing in the urbanized area, the commercial service vehicle travel related to household demand, and LDV public transit DVMT
VETransportSupply	AssignTransitService	VanDvmt	Total daily miles traveled by vans of various sizes to provide demand responsive, vanpool, and similar services
VETransportSupply	AssignTransitService	BusDvmt	Total daily miles traveled by buses of various sizes to provide bus service of various types
VELandUse	AssignLocTypes	UrbanPop	Urbanized area population
VELandUse	AssignLocTypes	RuralPop	Rural (i.e. non-urbanized area) population
VELandUse	AssignLocTypes	RuralIncome	Total household income of the rural (i.e. non-urbanized area) population
VELandUse	AssignLocTypes	UrbanIncome	Total household income of the rural (i.e. non-urbanized area) population
VEHouseholdTravel	CalculateHouseholdDvmt	UrbanHhDvmt	Average daily vehicle miles traveled in autos or light trucks by households residing in the urbanized portion of the Marea
VEHouseholdTravel	CalculateHouseholdDvmt	RuralHhDvmt	Average daily vehicle miles traveled in autos or light trucks by households residing in the rural (non-urban) portion of the Marea

10.2.31.2 Module Outputs

HvyTrkUrbanDvmt: Base year Region heavy truck daily vehicle miles of travel in urbanized areas
HvyTrkRuralDvmt: Base year Region heavy truck daily vehicle miles of travel in rural (i.e. non-urbanized) areas
ComSvcUrbanDvmt: Commercial service daily vehicle miles of travel associated with Marea urbanized household activity
ComSvcRuralDvmt: Commercial service daily vehicle miles of travel associated with Marea rural household activity
LdvFwyArtDvmt: Light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeway or arterial roadways
LdvOthDvmt: Light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on other roadways
HvyTrkFwyDvmt: Heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
HvyTrkArtDvmt:Heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
HvyTrkOthDvmt: Heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on other roadways
BusFwyDvmt: Bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
BusArtDvmt: Bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
BusOthDvmt: Bus daily vehicle miles of travel in the urbanized portion of the Marea occuring on other roadways

10.2.32 CalculateRoadPerformance

This module splits light-duty vehicle (LDV) daily vehicle miles of travel DVHT between freeways and arterials as a function of relative speeds and congestion prices. Speeds and prices are combined to calculate an average ‘effective’ speed for freeways and for arterials. The ratio of freeway and arterial ‘effective’ speeds and a split factor calculated for the metropolitan area are used to split the LDV DVMT. Iteration is used to find an equilibrium split value. In addition to the LDV freeway DVMT and arterial DVMT, the following performance measures are saved to the datastore:

Average freeway speed by congestion level;
Average arterial speed by congestion level;
Average freeway delay by congestion level;
Average arterial delay by congestion level;
Freeway DVMT proportions by congestion level;
Arterial DVMT proportions by congestion level;
Average amount paid per mile in congestion pricing fees; and,
Vehicle hours of delay by vehicle type.

User Input Files

Operations Deployment Effects on DVMT (marea_operations_deployment.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the proportion of DVMT affected by operations for different road classes.

RampMeterDeployProp: Proportion of freeway DVMT affected by ramp metering deployment
IncidentMgtDeployProp: Proportion of freeway DVMT affected by incident management deployment
SignalCoordDeployProp: Proportion of arterial DVMT affected by signal coordination deployment
AccessMgtDeployProp: Proportion of arterial DVMT affected by access management deployment
OtherFwyOpsDeployProp: Proportion of freeway DVMT affected by deployment of other user-defined freeway operations measures
OtherArtOpsDeployProp: Proportion of arterial DVMT affected by deployment of other user-defined arterial operations measures

Here is a snapshot of the file:

Geo	Year	RampMeterDeployProp	IncidentMgtDeployProp	SignalCoordDeployProp	AccessMgtDeployProp	OtherFwyOpsDeployProp	OtherArtOpsDeployProp
RVMPO	2010	0.00	0.50	0.50	0.00	0	0
RVMPO	2038	0.95	0.95	0.95	0.24	0	0

Other Operations Effects (other_ops_effectiveness.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the other delay effects of operations in different road classes

Level: Congestion levels: None = none, Mod = moderate, Hvy = heavy, Sev = severe, Ext = extreme
Art_Rcr: Percentage reduction of recurring arterial delay that would occur with full deployment of other user-defined arterial operations measures
Art_NonRcr: Percentage reduction of non-recurring arterial delay that would occur with full deployment of other user-defined arterial operations measures
Fwy_Rcr: Percentage reduction of recurring freeway delay that would occur with full deployment of other user-defined freeway operations measures
Fwy_NonRcr: Percentage reduction of non-recurring freeway delay that would occur with full deployment of other user-defined freeway operations measures

Here is a snapshot of the file:

Level	Art_Rcr	Art_NonRcr	Fwy_Rcr	Fwy_NonRcr	AccessMgtDeployProp	OtherFwyOpsDeployProp	OtherArtOpsDeployProp
None	0	0	0	0	0	0	0
Mod	0	0	0	0	0	0	0
Hvy	0	0	0	0	0	0	0
sev	0	0	0	0	0	0	0
Ext	0	0	0	0	0	0	0

Congestion Charges (marea_congestion_charges.csv)

This input file is OPTIONAL. It is only needed if the user wants to add a congestion charge policy for vehicle travel using different congestion levels and roadway classes.

FwyNoneCongChg: Charge per mile (U.S. dollars) of vehicle travel on freeways during periods of no congestion
FwyModCongChg: Charge per mile (U.S. dollars) of vehicle travel on freeways during periods of moderate congestion
FwyHvyCongChg: Charge per mile (U.S. dollars) of vehicle travel on freeways during periods of heavy congestion
FwySevCongChg: Charge per mile (U.S. dollars) of vehicle travel on freeways during periods of severe congestion
FwyExtCongChg: Charge per mile (U.S. dollars) of vehicle travel on freeways during periods of extreme congestion
ArtNoneCongChg: Charge per mile (U.S. dollars) of vehicle travel on arterials during periods of no congestion
ArtModCongChg: Charge per mile (U.S. dollars) of vehicle travel on arterials during periods of moderate congestion
ArtHvyCongChg: Charge per mile (U.S. dollars) of vehicle travel on arterials during periods of heavy congestion
ArtSevCongChg: Charge per mile (U.S. dollars) of vehicle travel on arterials during periods of severe congestion
ArtExtCongChg: Charge per mile (U.S. dollars) of vehicle travel on arterials during periods of extreme congestion

Here is a snapshot of the file:

Geo	Year	FwyNoneCongChg.2010	FwyModCongChg.2010	FwyHvyCongChg.2010	FwySevCongChg.2010	FwyExtCongChg.2010	ArtNoneCongChg.2010	ArtModCongChg.2010	ArtHvyCongChg.2010	ArtSevCongChg.2010	ArtExtCongChg.2010
RVMPO	2010	0	0	0	0.0	0.0	0	0	0	0	0
RVMPO	2038	0	0	0	0.1	0.2	0	0	0	0	0

User Input Parameters

Value of time (valueoftime) : This parameter set the value of time (base cost year dollars per hour). It should be defined in model_parameters.json

{"NAME": "ValueOfTime", 
"VALUE": "16", 
"TYPE": "double", 
"UNITS": "base cost year dollars per hour"
}

Internal Module Inputs

Package	Module	Outputs	Description
VELandUse	AssignLocTypes	UrbanPop	Urbanized area population
VETransportSupply	AssignRoadMiles	FwyLaneMi	Lane-miles of roadways functionally classified as freeways or expressways in the urbanized portion of the metropolitan area
VETravelPerformance	CalculateBaseRoadDvmt	LdvFwyArtDvmt	Light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeway or arterial roadways
VETravelPerformance	CalculateBaseRoadDvmt	LdvOthDvmt	Light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeway or arterial roadways
VETravelPerformance	CalculateBaseRoadDvmt	HvyTrkFwyDvmt	Heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
VETravelPerformance	CalculateBaseRoadDvmt	HvyTrkArtDvmt	Heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
VETravelPerformance	CalculateBaseRoadDvmt	HvyTrkOthDvmt	Light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on other roadways
VETravelPerformance	CalculateBaseRoadDvmt	BusFwyDvmt	Bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
VETravelPerformance	CalculateBaseRoadDvmt	BusArtDvmt	Bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
VETravelPerformance	CalculateBaseRoadDvmt	BusOthDvmt	Bus daily vehicle miles of travel in the urbanized portion of the Marea occuring on other roadways
VELandUse	Calculate4DMeasures	UrbanArea	Area that is Urban and unprotected (i.e. developable) within the zone

Module Outputs

LdvFwyDvmt: Light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
LdvArtDvmt: Light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
FwyNoneCongSpeed: Average freeway speed (miles per hour) when there is no congestion
FwyModCongSpeed: Average freeway speed (miles per hour) when congestion is moderate
FwyHvyCongSpeed: Average freeway speed (miles per hour) when congestion is heavy
FwySevCongSpeed: Average freeway speed (miles per hour) when congestion is severe
FwyExtCongSpeed: Average freeway speed (miles per hour) when congestion is extreme
ArtNoneCongSpeed: Average arterial speed (miles per hour) when there is no congestion
ArtModCongSpeed: Average arterial speed (miles per hour) when congestion is moderate
ArtHvyCongSpeed: Average arterial speed (miles per hour) when congestion is heavy
ArtSevCongSpeed: Average arterial speed (miles per hour) when congestion is severe
ArtExtCongSpeed: Average arterial speed (miles per hour) when congestion is extreme
OthSpd: Average speed (miles per hour) on other roadways
AveLdvSpd: Average light-duty vehicle speed (miles per hour) on all roadways weighted by the proportions of light-duty vehicle travel
FwyNoneCongDelay: Average freeway delay (hours per mile) occurring when there is no congestion
FwyModCongDelay: Average freeway delay (hours per mile) occurring when congestion is moderate
FwyHvyCongDelay: Average freeway delay (hours per mile) occurring when congestion is heavy
FwySevCongDelay: Average freeway delay (hours per mile) occurring when congestion is severe
FwyExtCongDelay: Average freeway delay (hours per mile) occurring when congestion is extreme
ArtNoneCongDelay: Average arterial delay (hours per mile) occurring when there is no congestion
ArtModCongDelay: Average arterial delay (hours per mile) occurring when congestion is moderate
ArtHvyCongDelay: Average arterial delay (hours per mile) occurring when congestion is heavy
ArtSevCongDelay: Average arterial delay (hours per mile) occurring when congestion is severe
ArtExtCongDelay: Average arterial delay (hours per mile) occurring when congestion is extreme
FwyDvmtPropNoneCong: Proportion of freeway DVMT occurring when there is no congestion
FwyDvmtPropModCong: Proportion of freeway DVMT occurring when congestion is moderate
FwyDvmtPropHvyCong: Proportion of freeway DVMT occurring when congestion is heavy
FwyDvmtPropSevCong: Proportion of freeway DVMT occurring when congestion is severe
FwyDvmtPropExtCong: Proportion of freeway DVMT occurring when congestion is extreme
ArtDvmtPropNoneCong: Proportion of arterial DVMT occurring when there is no congestion
ArtDvmtPropModCong: Proportion of arterial DVMT occurring when congestion is moderate
ArtDvmtPropHvyCong: Proportion of arterial DVMT occurring when congestion is heavy
ArtDvmtPropSevCong: Proportion of arterial DVMT occurring when congestion is severe
ArtDvmtPropExtCong: Proportion of arterial DVMT occurring when congestion is extreme
AveCongPrice: Average price paid (dollars per mile) in congestion fees

For more information see here

10.2.33 CalculateMpgMpkwhAdjustments

This module calculates adjustments to fuel economy and electric energy economy for plug-in vehicles) resulting from traffic congestion, speed smoothing(i.e. active traffic management which reduces speed variation), and ecodriving practices.

User Input Files

Speed Smoothing and Eco-drive (marea_speed_smooth_ecodrive.csv)

This input file supplies information of deployment of speed smoothing and ecodriving by road class and vehicle type.

FwySmooth:Fractional deployment of speed smoothing traffic management on freeways, where 0 is no deployment and 1 is the full potential fuel savings
ArtSmooth: Fractional deployment of speed smoothing traffic management on arterials, where 0 is no deployment and 1 is the full potential fuel savings
LdvEcoDrive: Eco-driving penetration for light-duty vehicles; the fraction of vehicles from 0 to 1
HvyTrkEcoDrive: Eco-driving penetration for heavy-duty vehicles; the fraction of vehicles from 0 to 1

Here is a snapshot of the file:

Geo	Year	FwySmooth	ArtSmooth	LdvEcoDrive	HvyTrkEcoDrive
RVMPO	2010	0.2	0.1	0.2	0.05
RVMPO	2038	0.4	0.2	0.4	0.2

10.2.33.1 Internal Module Inputs

Package	Module	Outputs	Description
VETravelPerformance	CalculateRoadPerformance	LdvFwyDvmt	Light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
VETravelPerformance	CalculateRoadPerformance	LdvArtDvmt	Light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
VETravelPerformance	CalculateBaseRoadDvmt	LdvOthDvmt	Light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeway or arterial roadways
VETravelPerformance	CalculateBaseRoadDvmt	HvyTrkFwyDvmt	Heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
VETravelPerformance	CalculateBaseRoadDvmt	HvyTrkArtDvmt	Heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
VETravelPerformance	CalculateBaseRoadDvmt	HvyTrkOthDvmt	Light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on other roadways
VETravelPerformance	CalculateBaseRoadDvmt	BusFwyDvmt	Bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
VETravelPerformance	CalculateBaseRoadDvmt	BusArtDvmt	Bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
VETravelPerformance	CalculateBaseRoadDvmt	BusOthDvmt	Bus daily vehicle miles of travel in the urbanized portion of the Marea occuring on other roadways
VETravelPerformance	CalculateRoadPerformance	FwyNoneCongSpeed	Average freeway speed (miles per hour) when there is no congestion
VETravelPerformance	CalculateRoadPerformance	FwyModCongSpeed	Light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
VETravelPerformance	CalculateRoadPerformance	FwyHvyCongSpeed	Average freeway speed (miles per hour) when congestion is heavy
VETravelPerformance	CalculateRoadPerformance	FwySevCongSpeed	Average freeway speed (miles per hour) when congestion is severe
VETravelPerformance	CalculateRoadPerformance	FwyExtCongSpeed	Light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on other roadways
VETravelPerformance	CalculateRoadPerformance	BusFwyDvmt	Bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
VETravelPerformance	CalculateRoadPerformance	BusArtDvmt	Bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
VETravelPerformance	CalculateRoadPerformance	BusOthDvmt	Bus daily vehicle miles of travel in the urbanized portion of the Marea occuring on other roadways
VETravelPerformance	CalculateRoadPerformance	FwyDvmtPropNoneCong	Proportion of freeway DVMT occurring when there is no congestion
VETravelPerformance	CalculateRoadPerformance	FwyDvmtPropModCong	Proportion of freeway DVMT occurring when congestion is moderate
VETravelPerformance	CalculateRoadPerformance	FwyDvmtPropHvyCong	Proportion of freeway DVMT occurring when congestion is heavy
VETravelPerformance	CalculateRoadPerformance	FwyDvmtPropSevCong	Proportion of freeway DVMT occurring when congestion is severe
VETravelPerformance	CalculateRoadPerformance	FwyDvmtPropExtCong	Proportion of freeway DVMT occurring when congestion is extreme
VETravelPerformance	CalculateRoadPerformance	ArtDvmtPropNoneCong	Proportion of arterial DVMT occurring when there is no congestion
VETravelPerformance	CalculateRoadPerformance	ArtDvmtPropModCong	Proportion of arterial DVMT occurring when congestion is moderate
VETravelPerformance	CalculateRoadPerformance	ArtDvmtPropHvyCong	Proportion of arterial DVMT occurring when congestion is heavy
VETravelPerformance	CalculateRoadPerformance	ArtDvmtPropSevCong	Proportion of arterial DVMT occurring when congestion is severe
VETravelPerformance	CalculateRoadPerformance	ArtDvmtPropExtCong	Proportion of arterial DVMT occurring when congestion is extereme

Module Outputs

LdvSpdSmoothFactor: Proportional adjustment of light-duty internal combustion engine (ICE) vehicle MPG due to speed smoothing
HvyTrkSpdSmoothFactor: Proportional adjustment of heavy truck internal combustion engine (ICE) vehicle MPG due to speed smoothing
BusSpdSmoothFactor: Proportional adjustment of bus internal combustion engine (ICE) vehicle MPG due to speed smoothing
LdvEcoDriveFactor: Proportional adjustment of light-duty internal combustion engine (ICE) vehicle MPG due to eco-driving
HvyTrkEcoDriveFactor: Proportional adjustment of heavy truck internal combustion engine (ICE) vehicle MPG due to eco-driving
BusEcoDriveFactor: Proportional adjustment of bus internal combustion engine (ICE) vehicle MPG due to eco-driving
LdIceFactor: Proportional adjustment of light-duty internal combustion engine (ICE) vehicle MPG due to congestion
LdHevFactor: Proportional adjustment of light-duty hybrid-electric vehicle (HEV) MPG due to congestion
LdEvFactor: Proportional adjustment of light-duty battery electric vehicle (EV) MPkWh due to congestion
LdFcvFactor: Proportional adjustment of light-duty fuel cell vehicle (FCV) MPkWh due to congestion
HdIceFactor: Proportional adjustment of heavy-duty internal combustion engine (ICE) vehicle MPG due to congestion

10.2.34 AdjustHhVehicleMpgMpkwh

This module adjusts the fuel economy and power efficiency of household vehicles to reflect roadway congestion.

User Input Files

10.2.34.0.1 Car Service Vehicle Powertrains (region_carsvc_powertrain_prop.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the powertrain proportion of car services.

CarSvcAutoPropIcev: Proportion of car service automobile travel powered by internal combustion engine powertrains
CarSvcAutoPropHev: Proportion of car service automobile travel powered by hybrid electric powertrains
CarSvcAutoPropBev: Proportion of car service automobile travel powered by battery electric powertrains
CarSvcLtTrkPropIcev: Proportion of car service light truck travel powered by internal combustion engine powertrains
CarSvcLtTrkPropHev: Proportion of car service light truck travel powered by hybrid electric powertrains
CarSvcLtTrkPropBev: Proportion of car service light truck travel powered by battery electric powertrains

Here is a snapshot of the file:

Geo	Year	CarSvcAutoPropIcev	CarSvcAutoPropHev	CarSvcAutoPropBev	CarSvcLtTrkPropIce	CarSvcLtTrkPropHev	CarSvcLtTrkPropBev
RVMPO	2010	0.990	0.010	0.000	1.0000	0.0000	0.0000
RVMPO	2038	0.441	0.528	0.031	0.5335	0.4572	0.0093

10.2.34.1 Internal Module Inputs

Package	Module	Outputs	Description
VETravelPerformance	CalculateMpgMpkwhAdjustments	LdvEcoDrive	Eco-driving penetration for light-duty vehicles; the fraction of vehicles from 0 to 1
VETravelPerformance	CalculateMpgMpkwhAdjustments	LdvSpdSmoothFactor	Proportional adjustment of light-duty internal combustion engine (ICE) vehicle MPG due to speed smoothing
VETravelPerformance	CalculateMpgMpkwhAdjustments	LdvEcoDriveFactor	Proportional adjustment of light-duty internal combustion engine (ICE) vehicle MPG due to eco-driving
VETravelPerformance	CalculateMpgMpkwhAdjustments	LdIceFactor	Proportional adjustment of light-duty internal combustion engine (ICE) vehicle MPG due to congestion
VETravelPerformance	CalculateMpgMpkwhAdjustments	LdHevFactor	Proportional adjustment of light-duty hybrid-electric vehicle (HEV) MPG due to congestion
VETravelPerformance	CalculateMpgMpkwhAdjustments	LdFcvFactor	Proportional adjustment of light-duty fuel cell vehicle (FCV) MPkWh due to congestion
VESimHouseholds	CreateHouseholds	HhId	Household id
VELandUse	AssignLocTypes	LocType	Location type (Urban, Town, Rural) of the place where the household resides
VEHouseholdVehicles	AssignVehicleOwnership	Vehicles	Number of automobiles and light trucks owned or leased by the household including high level car service vehicles available to driving-age persons
VEHouseholdVehicles	AssignVehicleType	NumLtTrk	Number of light trucks (pickup, sport-utility vehicle, and van) owned or leased by household
VEHouseholdVehicles	AssignVehicleType	NumAuto	Number of automobiles (i.e. 4-tire passenger vehicles that are not light trucks) owned or leased by household
VEHouseholdTravel	CalculateHouseholdDvmt	Dvmt	Average daily vehicle miles traveled by the household in autos or light trucks
VEHouseholdVehicles	AssignVehicleAge	Type	Vehicle body type: Auto = automobile, LtTrk = light trucks (i.e. pickup, SUV, Van)
VEPowertrainsAndFuels	AssignHhVehiclePowertrain	Powertrain	Vehicle powertrain type: ICEV = internal combustion engine vehicle, HEV = hybrid electric vehicle, PHEV = plug-in hybrid electric vehicle, BEV = battery electric vehicle, NA = not applicable because is a car service vehicle
VEHouseholdVehicles	CreateVehicleTable	VehicleAccess	Identifier whether vehicle is owned by household (Own), if vehicle is low level car service (LowCarSvc), or if vehicle is high level car service (HighCarSvc)
VEPowertrainsAndFuels	AssignHhVehiclePowertrain	MPG	Average miles of vehicle travel powered by fuel per gasoline equivalent gallon
VEPowertrainsAndFuels	AssignHhVehiclePowertrain	GPM	Average gasoline equivalent gallons per mile of vehicle travel powered by fuel
VEPowertrainsAndFuels	AssignHhVehiclePowertrain	MPKWH	Average miles of vehicle travel powered by electricity per kilowatt-hour
VEPowertrainsAndFuels	AssignHhVehiclePowertrain	KWHPM	Average kilowatt-hours per mile of vehicle travel powered by electricity
VEPowertrainsAndFuels	AssignHhVehiclePowertrain	MPGe	Average miles of vehicle travel per gasoline equivalent gallon (fuel and electric powered)
VEPowertrainsAndFuels	AssignHhVehiclePowertrain	ElecDvmtProp	Average miles of vehicle travel per gasoline equivalent gallon (fuel and electric powered)
VEPowertrainsAndFuels	AssignHhVehiclePowertrain	FuelCO2ePM	Average grams of carbon-dioxide equivalents produced per mile of travel powered by fuel
VEPowertrainsAndFuels	AssignHhVehiclePowertrain	ElecCO2ePM	Average grams of carbon-dioxide equivalents produced per mile of travel powered by electricity

Module Outputs

MPG: Average miles of vehicle travel powered by fuel per gasoline equivalent gallon
GPM: Average gasoline equivalent gallons per mile of vehicle travel powered by fuel
MPKWH: Average miles of vehicle travel powered by electricity per kilowatt-hour
KWHPM: Average kilowatt-hours per mile of vehicle travel powered by electricity
MPGe: Average miles of vehicle travel per gasoline equivalent gallon (fuel and electric powered)
ElecDvmtProp: Average miles of vehicle travel per gasoline equivalent gallon (fuel and electric powered)
FuelCO2ePM: Average grams of carbon-dioxide equivalents produced per mile of travel powered by fuel
IsEcoDrive: Flag identifying whether drivers in household are eco-drivers

10.2.35 CalculateVehicleOperatingCost

This module calculates vehicle operating costs per mile of travel and uses those costs to determine the proportional split of DVMT among household vehicles. The module also calculates the average out-of-pocket costs per mile of vehicle by household, as well as the cost of social and environmental impacts, and road use taxes per mile of vehicle travel.

User Input Files

Vehicle Access Time (azone_vehicle_access_times.csv)

This file supplies data for vehicle access and eagress time by Azone.

OwnedVehAccessTime:Average amount of time in minutes required for access to and egress from a household-owned vehicle for a trip
HighCarSvcAccessTime: Average amount of time in minutes required for access to and egress from a high service level car service for a trip
LowCarSvcAccessTime: Average amount of time in minutes required for access to and egress from a low service level car service for a trip

Here is a snapshot of the file:

Geo	Year	OwnedVehAccessTime	HighCarSvcAccessTime	LowCarSvcAccessTime
RVMPO	2010	5	10	45
RVMPO	2038	5	10	45

Fuel and Electricity Costs (azone_fuel_power_cost.csv)

This file supplies data for retail cost of fuel and electricity by Azone. This input can be developed using local history or querying the Energy Information Administration (EIA) for historical gasoline and diesel and power prices.

FuelCost:Retail cost of fuel per gas gallon equivalent in dollars (before taxes are added)
PowerCost: Retail cost of electric power per kilowatt-hour in dollars (before taxes are added)

Here is a snapshot of the file:

Geo	Year	FuelCost.2005	PowerCost.2005
RVMPO	2010	2.43	0.08
RVMPO	2038	5.75	0.208

Vehicle Taxes (azone_veh_use_taxes.csv)

This file supplies data for vehicle taxes related to vehicle operating costs.

FuelTax:Tax per gas gallon equivalent of fuel in dollars
VmtTax: Tax per mile of vehicle travel in dollars
PevSurchgTaxProp: Proportion of equivalent gas tax per mile paid by hydrocarbon fuel consuming vehicles to be charged to plug-in electric vehicles per mile of travel powered by electricity

Here is a snapshot of the file:

Geo	Year	FuelTax.2005	VmtTax.2005	PevSurchgTaxProp
RVMPO	2010	0.424	0	0
RVMPO	2038	0.484	0	0

External Costs (region_prop_externalities_paid.csv)

Proportional external costs for the region. This input file allocates the percent of the total cost that is charged to region vehicles on a per mile basis.

PropClimateCostPaid: Proportion of climate change costs paid by users (i.e. ratio of carbon taxes to climate change costs). The dollar value of Climate Cost Paid is given in the optional input file: region_co2e_costs.csv.
PropOtherExtCostPaid: Proportion of other social costs paid by users. The other social costs paid are included in an input file within the VETravelPerformance package. For more information on these values click here.

Here is a snapshot of the file:

Year	PropClimateCostPaid	PropOtherExtCostPaid
2038	1	0.5
2010	0	0

User Input Parameters

Value of time (valueoftime): This parameter set the value of time (base cost year dollars per hour). It should be defined in model_parameters.json

{"NAME": "ValueOfTime", 
"VALUE": "16", 
"TYPE": "double", 
"UNITS": "base cost year dollars per hour"
}

Internal Module Inputs

Package	Module	Outputs	Description
VETravelPerformance	CalculateRoadPerformance	AveLdvSpd	Average light-duty vehicle speed (miles per hour) on all roadways weighted by the proportions of light-duty vehicle travel
VETravelPerformance	CalculateRoadPerformance	AveCongPrice	Average price paid (dollars per mile) in congestion fees
VEHouseholdVehicles	CreateVehicleTable	HighCarSvcCost	Average cost in dollars per mile for travel by high service level car service
VEHouseholdVehicles	CreateVehicleTable	LowCarSvcCost	Average cost in dollars per mile for travel by low service level car service
VESimHouseholds	CreateHouseholds	HhId	Household id
VEHouseholdVehicles	CreateVehicleTable	VehId	Unique vehicle ID
VESimHouseholds	PredictIncome	Income	Total annual income of household
VEHouseholdTravel	CalculateHouseholdDvmt	Dvmt	Average daily vehicle miles traveled by the household in autos or light trucks
VEHouseholdVehicles	CalculateVehicleOwnCost	HasPaydIns	Identifies whether household has pay-as-you-drive insurance for vehicles: 1 = Yes, 0 = no
VEHouseholdTravel	CalculateVehicleTrips	VehicleTrips	Average number of vehicle trips per day by household members
VELandUse	AssignParkingRestrictions	OtherParkingCost	Daily cost for parking at shopping locations or other locations of paid parking not including work
VEHouseholdVehicles	AssignVehicleAge	Type	Vehicle body type: Auto = automobile, LtTrk = light trucks (i.e. pickup, SUV, Van)
VEHouseholdVehicles	AssignVehicleAge	Age	Vehicle age in years
VEHouseholdVehicles	CreateVehicleTable	VehicleAccess	Identifier whether vehicle is owned by household (Own), if vehicle is low level car service (LowCarSvc), or if vehicle is high level car service (HighCarSvc)
VEPowertrainsAndFuels	AssignHhVehiclePowertrain	Powertrain	Vehicle powertrain type: ICEV = internal combustion engine vehicle, HEV = hybrid electric vehicle, PHEV = plug-in hybrid electric vehicle, BEV = battery electric vehicle, NA = not applicable because is a car service vehicle
VEPowertrainsAndFuels	AssignHhVehiclePowertrain	GPM	Average gasoline equivalent gallons per mile of vehicle travel powered by fuel
VEPowertrainsAndFuels	AssignHhVehiclePowertrain	KWHPM	Average kilowatt-hours per mile of vehicle travel powered by electricity
VEPowertrainsAndFuels	AssignHhVehiclePowertrain	ElecDvmtProp	Average miles of vehicle travel per gasoline equivalent gallon (fuel and electric powered)
VEPowertrainsAndFuels	AssignHhVehiclePowertrain	FuelCO2ePM	Average grams of carbon-dioxide equivalents produced per mile of travel powered by fuel
VEPowertrainsAndFuels	AssignHhVehiclePowertrain	ElecCO2ePM	Average grams of carbon-dioxide equivalents produced per mile of travel powered by electricity
VEHouseholdVehicles	CalculateVehicleOwnCost	InsCost	Annual vehicle insurance cost in dollars
VELandUse	AssignParkingRestrictions	ParkingCost	Daily cost for long-term parking (e.g. paid on monthly basis)
VELandUse	AssignParkingRestrictions	IsCashOut	Is worker paid parking in cash-out-buy-back program: 1 = yes, 0 = no
VELandUse	AssignParkingRestrictions	PaysForParking	Does worker pay for parking: 1 = yes, 0 = no

Module Outputs

AveVehCostPM: Average out-of-pocket cost in dollars per mile of vehicle travel
AveSocEnvCostPM: Average cost in dollars of the social and environmental impacts per mile of vehicle travel
AveRoadUseTaxPM: Average road use taxes in dollars collected per mile of vehicle travel
DvmtProp: Proportion of household DVMT allocated to vehicle
AveGPM: Average gasoline equivalent gallons per mile of household vehicle travel
AveKWHPM: Average kilowatt-hours per mile of household vehicle travel
AveCO2ePM: Average grams of carbon-dioxide equivalents produced per mile of household vehicle travel

10.2.36 BudgetHouseholdDvmt

This module adjusts average household DVMT to keep the quantity within household operating cost limits. The limit for each household is calculated in several steps. First, the proportion of the household’s income that may be spent on vehicle operating costs is calculated using a model that is explained below. This is called the budget proportion. Then an adjusted household income for budget calculation purposes is calculated by adding the annual cost of insurance for households subscribing to payd-as-you-drive (PAYD) insurance, cash-out parking payments for workers who work at an employer that has cash-out-buy-back parking, and any vehicle ownership cost savings for households that substitute high level car service for one or more household vehicles. The adjusted household income is multiplied by the budget proportion and divided by the average vehicle operating cost per mile for the household to determine the maximum household DVMT that fits within the household budget. The household DVMT is then set at the lesser of this budget maximum or the modeled household DVMT.

The budget proportion model is estimated using data from the Bureau of Labor’s consumer expenditure survey for the years from 2003 to 2015. The data used are the nominal dollar expenditures by household income category and year by transportation category. The values for the operating cost categories (gas and oil, and maintenance and repair) are summed and then divided by the midpoint value for each income category to calculate the budget proportion for each income group and each year. From this the mean value is computed for each income group. The budget proportions for each income group and year are divided by the mean values by income group to normalize values. The standard deviation for the combined normalized values is computed and value of 3 deviations above the mean is set as the maximum normalized value. The mean values by income group are multiplied by this normalized maximum to derive a budget proportion maximum by income group. A smoothed splines model of the budget proportion as a function of income is then estimated from the calculated budget proportion maximums. This model is used to calculate the budget proportion for a household based on the household income. The minimum and maximum values of the calculated budget proportion maximums are used as constraints to avoid unreasonable results for very low incomes and very high incomes.

User Input Files

This module does not have user-supplied input files

Internal Module Inputs

Package	Module	Outputs	Description
VESimHouseholds	CreateHouseholds	HhId	Household id
VESimHouseholds	CreateHouseholds	HHSize	Number of persons in the household
VESimHouseholds	PredictIncome	Income	Total annual income of household
VELandUse	AssignLocTypes	LocType	Location type (Urban, Town, Rural) of the place where the household resides
VETravelPerformance	CalculateVehicleOperatingCost	AveVehCostPM	Average out-of-pocket cost in dollars per mile of vehicle travel
VEHouseholdVehicles	AdjustVehicleOwnership	OwnCostSavings	Annual vehicle ownership cost (depreciation, finance, insurance, taxes) savings in dollars resulting from substituting the use of car services for a household vehicle
VEHouseholdVehicles	CalculateVehicleOwnCost	HasPaydIns	Identifies whether household has pay-as-you-drive insurance for vehicles: 1 = Yes, 0 = no
VETravelPerformance	CalculateVehicleOperatingCost	AveGPM	Average gasoline equivalent gallons per mile of household vehicle travel
VETravelPerformance	CalculateVehicleOperatingCost	AveKWHPM	Average kilowatt-hours per mile of household vehicle travel
VETravelPerformance	CalculateVehicleOperatingCost	AveCO2ePM	Average grams of carbon-dioxide equivalents produced per mile of household vehicle travel
VELandUse	AssignParkingRestrictions	ParkingCost	Daily cost for long-term parking (e.g. paid on monthly basis)
VELandUse	AssignParkingRestrictions	IsCashOut	Is worker paid parking in cash-out-buy-back program: 1 = yes, 0 = no
VELandUse	AssignParkingRestrictions	PaysForParking	Does worker pay for parking: 1 = yes, 0 = no
VEHouseholdVehicles	CalculateVehicleOwnCost	InsCost	Annual vehicle insurance cost in dollars

Module Outputs

Dvmt: Average daily vehicle miles traveled by the household in autos or light trucks
UrbanHhDvmt: Average daily vehicle miles traveled in autos or light trucks by households residing in the urbanized portion of the Marea
RuralHhDvmt: Average daily vehicle miles traveled in autos or light trucks by households residing in the non-urbanized portion of the Marea
DailyGGE: Gasoline equivalent gallons consumed per day by household vehicle travel
DailyKWH: Kilowatt-hours consumed per day by household vehicle travel
DailyCO2e: Grams of carbon-dioxide equivalents produced per day by household vehicle travel
WalkTrips: Average number of walk trips per year by household members
BikeTrips: Average number of bicycle trips per year by household members
TransitTrips: Average number of public transit trips per year by household members
VehicleTrips: Average number of vehicle trips per day by household members

10.2.37 CalculateComEnergyAndEmissions

This module calculates the energy consumption and carbon emissions of heavy trucks and light-duty commercial service vehicles. It does not calculate the values for car service vehicles which are calculated as part of the household emissions. It also does not calculate public transit emissions which are calculated in the CalculateTransitEnergyAndEmissions module.

User Input Files

Commercial Service Light Trucks Proportion (region_comsvc_lttrk_prop.csv)

This file supplies data for the light truck proportion of commercial vehicles for the region.

ComSvcLtTrkProp: Regional proportion of commercial service vehicles that are light trucks

Here is a snapshot of the file:

Year	ComSvcLtTrkProp
2010	0.51
2038	0.51

Commercial Service Vehicle Powertrains (region_comsvc_powertrain_prop.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the powertrain proportion of commercial vehicles.

ComSvcAutoPropIcev: Proportion of commercial service automobile travel powered by internal combustion engine powertrains
ComSvcAutoPropHev: Proportion of commercial service automobile travel powered by hybrid electric powertrains
ComSvcAutoPropBev: Proportion of commercial service automobile travel powered by battery electric powertrains
ComSvcLtTrkPropIcev: Proportion of commercial service light truck travel powered by internal combustion engine powertrains
ComSvcLtTrkPropHev: Proportion of commercial service light truck travel powered by hybrid electric powertrains
ComSvcLtTrkPropBev: Proportion of commercial service light truck travel powered by battery electric powertrainss

Here is a snapshot of the file:

Geo	Year	ComSvcAutoPropIcev	ComSvcAutoPropHev	ComSvcAutoPropBev	ComSvcLtTrkPropIcev	ComSvcLtTrkPropHev	ComSvcLtTrkPropBev
RVMPO	2010	0.990	0.010	0.000	1.0000	0.0000	0.0000
RVMPO	2038	0.441	0.528	0.031	0.5335	0.4572	0.0093

Heavy duty Truck Powertrains (region_hvytrk_powertrain_prop.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the powertrain proportion of heavy duty trucks.

HvyTrkPropIcev: Proportion of heavy truck travel powered by internal combustion engine powertrains
HvyTrkPropHev: Proportion of heavy truck travel powered by hybrid electric powertrains
HvyTrkPropBev: Proportion of heavy truck travel powered by battery electric powertrains

Here is a snapshot of the file:

Geo	Year	HvyTrkPropIcev	HvyTrkPropHev	HvyTrkPropBev
RVMPO	2010	1.0	0.0	0.0
RVMPO	2038	0.4	0.4	0.2

Internal Module Inputs

Package	Module	Outputs	Description
VEPowertrainsAndFuels	CalculateCarbonIntensity	ElectricityCI	Carbon intensity of electricity at point of consumption (grams CO2e per megajoule)
VEPowertrainsAndFuels	CalculateCarbonIntensity	HhAutoFuelCI	Average carbon intensity of fuels used by household automobiles (grams CO2e per megajoule))
VEPowertrainsAndFuels	CalculateCarbonIntensity	HhLtTrkFuelCI	Average carbon intensity of fuels used by household light trucks (grams CO2e per megajoule)
VEPowertrainsAndFuels	CalculateCarbonIntensity	HvyTrkFuelCI	Average carbon intensity of fuels used by heavy trucks (grams CO2e per megajoule)
VETravelPerformance	CalculateMpgMpkwhAdjustments	LdvEcoDrive	Eco-driving penetration for light-duty vehicles; the fraction of vehicles from 0 to 1
VETravelPerformance	CalculateMpgMpkwhAdjustments	HvyTrkEcoDrive	Eco-driving penetration for heavy-duty vehicles; the fraction of vehicles from 0 to 1
VETravelPerformance	CalculateMpgMpkwhAdjustments	LdvSpdSmoothFactor	Proportional adjustment of light-duty internal combustion engine (ICE) vehicle MPG due to speed smoothing
VETravelPerformance	CalculateMpgMpkwhAdjustments	LdvEcoDriveFactor	Proportional adjustment of light-duty internal combustion engine (ICE) vehicle MPG due to eco-driving
VETravelPerformance	CalculateMpgMpkwhAdjustments	HvyTrkSpdSmoothFactor	Proportional adjustment of heavy truck internal combustion engine (ICE) vehicle MPG due to speed smoothing
VETravelPerformance	CalculateMpgMpkwhAdjustments	LdIceFactor	Proportional adjustment of light-duty internal combustion engine (ICE) vehicle MPG due to congestion
VETravelPerformance	CalculateMpgMpkwhAdjustments	LdHevFactor	Proportional adjustment of light-duty hybrid-electric vehicle (HEV) MPG due to congestion
VETravelPerformance	CalculateMpgMpkwhAdjustments	HvyTrkEcoDriveFactor	Proportional adjustment of heavy truck internal combustion engine (ICE) vehicle MPG due to eco-driving
VETravelPerformance	CalculateMpgMpkwhAdjustments	LdEvFactor	Proportional adjustment of light-duty battery electric vehicle (EV) MPkWh due to congestion
VETravelPerformance	CalculateMpgMpkwhAdjustments	HdIceFactor	Proportional adjustment of heavy-duty internal combustion engine (ICE) vehicle MPG due to congestion
VETravelPerformance	CalculateBaseRoadDvmt	HvyTrkUrbanDvmt	Base year Region heavy truck daily vehicle miles of travel in urbanized areas
VETravelPerformance	CalculateBaseRoadDvmt	HvyTrkRuralDvmt	Base year Region heavy truck daily vehicle miles of travel in rural (i.e. non-urbanized) areas
VETravelPerformance	CalculateBaseRoadDvmt	ComSvcUrbanDvmt	Commercial service daily vehicle miles of travel associated with Marea urbanized household activity
VETravelPerformance	CalculateBaseRoadDvmt	ComSvcRuralDvmt	Commercial service daily vehicle miles of travel associated with Marea rural household activity

Module Outputs

ComSvcUrbanGGE: Average daily amount of hydrocarbon fuels consumed by commercial service vehicles associated with urban household activity in gas gallon equivalents
ComSvcRuralGGE: Average daily amount of hydrocarbon fuels consumed by commercial service vehicles associated with rural household activity in gas gallon equivalents
HvyTrkUrbanGGE: Average daily amount of hydrocarbon fuels consumed by heavy trucks on urbanized area roadways in the Marea in gas gallon equivalents
ComSvcUrbanKWH: Average daily amount of electricity consumed by commercial service vehicles associated with urban household activity in kilowatt-hours
ComSvcRuralKWH: Average daily amount of electricity consumed by commercial service vehicles associated with rural household activity in kilowatt-hours
ComSvcUrbanCO2e: Average daily amount of carbon-dioxide equivalents produced by commercial service vehicles associated with urban household activity in grams
ComSvcRuralCO2e: Average daily amount of carbon-dioxide equivalents produced by commercial service vehicles associated with rural household activity in grams
HvyTrkUrbanCO2e: Average daily amount of carbon-dioxide equivalents produced by heavy trucks on urbanized area roadways in the Marea in grams
ComSvcAveUrbanAutoCO2eRate: Average amount of carbon-dioxide equivalents produced by commercial service automobiles per mile of travel on urbanized area roadways in grams per mile
ComSvcAveUrbanLtTrkCO2eRate: Average amount of carbon-dioxide equivalents produced by commercial service light trucks per mile of travel on urbanized area roadways in grams per mile
HvyTrkAveUrbanCO2eRate: Average amount of carbon-dioxide equivalents produced by heavy trucks per mile of travel on urbanized area roadways in grams per mile
HvyTrkRuralGGE: Average daily amount of hydrocarbon fuels consumed by heavy trucks on rural roadways in the Region in gas gallon equivalents
HvyTrkUrbanGGE: Average daily amount of hydrocarbon fuels consumed by heavy trucks on urbanized area roadways in the Region in gas gallon equivalents
HvyTrkRuralKWH: Average daily amount of electricity consumed by heavy trucks on rural roadways in the Region in kilowatt-hours
HvyTrkUrbanKWH: Average daily amount of electricity consumed by heavy trucks on urbanized area roadways in the Region in kilowatt-hours
HvyTrkRuralCO2e: Average daily amount of carbon-dioxide equivalents produced by heavy trucks on rural roadways in the Region in grams
HvyTrkUrbanCO2e: Average daily amount of carbon-dioxide equivalents produced by heavy trucks on urbanized area roadways in the Region in grams

10.2.38 CalculatePtranEnergyAndEmissions

This module calculates the energy consumption and carbon emissions of public transit vehicle emissions in urbanized areas.

User Input Files

Transit Powertrain Proportions by Transit Vehicle Type (marea_transit_powertrain_prop.csv)

This input file is OPTIONAL. It is only needed if the user wants to modify the mixes of transit vehicle powertrains.

VanPropIcev: Proportion of transit van travel using internal combustion engine powertrains
VanPropHev: Proportion of transit van travel using hybrid electric powertrains
VanPropBev: Proportion of transit van travel using battery electric powertrains
BusPropIcev: Proportion of transit bus travel using internal combustion engine powertrains
BusPropHev: Proportion of transit bus travel using hybrid electric powertrains
BusPropBev: Proportion of transit bus travel using battery electric powertrains
RailPropIcev: Proportion of transit rail travel using internal combustion engine powertrains
RailPropHev: Proportion of transit rail travel using hybrid electric powertrains
RailPropEv: Proportion of transit rail travel using electric powertrains

Here is a snapshot of the file:

Geo	Year	VanPropIcev	VanPropHev	VanPropBev	BusPropIcev	BusPropHev	BusPropBev	RailPropIcev	RailPropHev	RailPropEv
RVMPO	2010	1	0	0	1	0	0	0	0	1
RVMPO	2038	1	0	0	1	0	0	0	0	1

Internal Module Inputs

Package	Module	Outputs	Description
VEPowertrainsAndFuels	CalculateCarbonIntensity	ElectricityCI	Carbon intensity of electricity at point of consumption (grams CO2e per megajoule)
VEPowertrainsAndFuels	CalculateCarbonIntensity	TransitVanFuelCI	Average carbon intensity of fuel used by transit vans (grams CO2e per megajoule)
VEPowertrainsAndFuels	CalculateCarbonIntensity	TransitBusFuelCI	Average carbon intensity of fuel used by transit buses (grams CO2e per megajoule)
VEPowertrainsAndFuels	CalculateCarbonIntensity	TransitRailFuelCI	Average carbon intensity of fuel used by transit rail vehicles (grams CO2e per megajoule)
VETransportSupply	AssignTransitService	VanDvmt	Total daily miles traveled by vans of various sizes to provide demand responsive, vanpool, and similar services
VETransportSupply	AssignTransitService	BusDvmt	Total daily miles traveled by buses of various sizes to provide bus service of various types
VETransportSupply	AssignTransitService	RailDvmt	Total daily miles traveled by light rail, heavy rail, commuter rail, and similar types of vehicles

Module Outputs

BusGGE: Average daily amount of hydrocarbon fuels consumed by bus transit vehicles in urbanized area in gas gallon equivalents
RailGGE: Average daily amount of hydrocarbon fuels consumed by rail transit vehicles in urbanized area in gas gallon equivalents
VanGGE: Average daily amount of hydrocarbon fuels consumed by van transit vehicles in urbanized area in gas gallon equivalents
BusKWH: Average daily amount of electricity consumed by bus transit vehicles in urbanized area in kilowatt-hours
RailKWH: Average daily amount of electricity consumed by rail transit vehicles in urbanized area in kilowatt-hours
VanKWH:Average daily amount of electricity consumed by van transit vehicles in urbanized area in kilowatt-hours
BusCO2e: Average daily amount of carbon-dioxide equivalents produced by bus transit vehicles in urbanized area in grams
RailCO2e: Average daily amount of carbon-dioxide equivalents produced by rail transit vehicles in urbanized area in grams
VanCO2e: Average daily amount of carbon-dioxide equivalents produced by van transit vehicles in urbanized area in grams
BusCO2eRate: Average amount of carbon-dioxide equivalents produced by bus transit vehicles per mile of travel in urbanized area in grams per mile
RailCO2eRate: Average amount of carbon-dioxide equivalents produced by rail transit vehicles per mile of travel in urbanized area in grams per mile
VanCO2eRate: Average amount of carbon-dioxide equivalents produced by van transit vehicles per mile of travel in urbanized area in grams per mile

10.3 Model Outputs

A large number of performance metrics are produced during the run of the RPAT model, including environment and energy impacts, financial and economic impacts, and community impacts.

The full list of outputs available is as follows. Based on the geo level, you will find our these metrics in of the three files ( Azone.csv , Bzone.csv , Marea.csv ) in the outputs folder

VanDvmt: Total daily miles traveled by vans of various sizes to provide demand responsive, vanpool, and similar services.
BusDvmt: Total daily miles traveled by buses of various sizes to provide bus service of various types.
RailDvmt: Total daily miles traveled by light rail, heavy rail, commuter rail, and similar types of vehicles.
UrbanHhDvmt: Average daily vehicle miles traveled in autos or light trucks by households residing in the urbanized portion of the Marea
RuralHhDvmt: Average daily vehicle miles traveled in autos or light trucks by households residing in the non-urbanized portion of the Marea
TownHhDvmt: Average daily vehicle miles traveled in autos or light trucks by households residing in town (urban but not urbanized) portion of the Marea
ComSvcUrbanDvmt: Commercial service daily vehicle miles of travel associated with Marea urbanized household activity
ComSvcRuralDvmt: Commercial service daily vehicle miles of travel associated with Marea rural household activity
HvyTrkUrbanDvmt: Base year Region heavy truck daily vehicle miles of travel in urbanized areas
LdvOthDvmt: Light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on other roadways
LdvFwyArtDvmt: Light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeway or arterial roadways
HvyTrkFwyDvmt: Heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
HvyTrkArtDvmt:Heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
HvyTrkOthDvmt: Heavy truck daily vehicle miles of travel in the urbanized portion of the Marea occurring on other roadways
BusFwyDvmt: Bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
BusArtDvmt: Bus daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
BusOthDvmt: Bus daily vehicle miles of travel in the urbanized portion of the Marea occuring on other roadways
LdvFwyDvmt: Light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on freeways
LdvArtDvmt: Light-duty daily vehicle miles of travel in the urbanized portion of the Marea occurring on arterial roadways
FwyNoneCongSpeed: Average freeway speed (miles per hour) when there is no congestion
FwyModCongSpeed: Average freeway speed (miles per hour) when congestion is moderate
FwyHvyCongSpeed: Average freeway speed (miles per hour) when congestion is heavy
FwySevCongSpeed: Average freeway speed (miles per hour) when congestion is severe
FwyExtCongSpeed: Average freeway speed (miles per hour) when congestion is extreme
ArtNoneCongSpeed: Average arterial speed (miles per hour) when there is no congestion
ArtModCongSpeed: Average arterial speed (miles per hour) when congestion is moderate
ArtHvyCongSpeed: Average arterial speed (miles per hour) when congestion is heavy
ArtSevCongSpeed: Average arterial speed (miles per hour) when congestion is severe
ArtExtCongSpeed: Average arterial speed (miles per hour) when congestion is extreme
OthSpd: Average speed (miles per hour) on other roadways
AveLdvSpd: Average light-duty vehicle speed (miles per hour) on all roadways weighted by the proportions of light-duty vehicle travel
FwyNoneCongDelay: Average freeway delay (hours per mile) occurring when there is no congestion
FwyModCongDelay: Average freeway delay (hours per mile) occurring when congestion is moderate
FwyHvyCongDelay: Average freeway delay (hours per mile) occurring when congestion is heavy
FwySevCongDelay: Average freeway delay (hours per mile) occurring when congestion is severe
FwyExtCongDelay: Average freeway delay (hours per mile) occurring when congestion is extreme
ArtNoneCongDelay: Average arterial delay (hours per mile) occurring when there is no congestion
ArtModCongDelay: Average arterial delay (hours per mile) occurring when congestion is moderate
ArtHvyCongDelay: Average arterial delay (hours per mile) occurring when congestion is heavy
ArtSevCongDelay: Average arterial delay (hours per mile) occurring when congestion is severe
ArtExtCongDelay: Average arterial delay (hours per mile) occurring when congestion is extreme
FwyDvmtPropNoneCong: Proportion of freeway DVMT occurring when there is no congestion
FwyDvmtPropModCong: Proportion of freeway DVMT occurring when congestion is moderate
FwyDvmtPropHvyCong: Proportion of freeway DVMT occurring when congestion is heavy
FwyDvmtPropSevCong: Proportion of freeway DVMT occurring when congestion is severe
FwyDvmtPropExtCong: Proportion of freeway DVMT occurring when congestion is extreme
ArtDvmtPropNoneCong: Proportion of arterial DVMT occurring when there is no congestion
ArtDvmtPropModCong: Proportion of arterial DVMT occurring when congestion is moderate
ArtDvmtPropHvyCong: Proportion of arterial DVMT occurring when congestion is heavy
ArtDvmtPropSevCong: Proportion of arterial DVMT occurring when congestion is severe
ArtDvmtPropExtCong: Proportion of arterial DVMT occurring when congestion is extreme
AveCongPrice: Average price paid (dollars per mile) in congestion fees
LdvSpdSmoothFactor: Proportional adjustment of light-duty internal combustion engine (ICE) vehicle MPG due to speed smoothing
HvyTrkSpdSmoothFactor: Proportional adjustment of heavy truck internal combustion engine (ICE) vehicle MPG due to speed smoothing
BusSpdSmoothFactor: Proportional adjustment of bus internal combustion engine (ICE) vehicle MPG due to speed smoothing
LdvEcoDriveFactor: Proportional adjustment of light-duty internal combustion engine (ICE) vehicle MPG due to eco-driving
HvyTrkEcoDriveFactor: Proportional adjustment of heavy truck internal combustion engine (ICE) vehicle MPG due to eco-driving
BusEcoDriveFactor: Proportional adjustment of bus internal combustion engine (ICE) vehicle MPG due to eco-driving
LdIceFactor: Proportional adjustment of light-duty internal combustion engine (ICE) vehicle MPG due to congestion
LdHevFactor: Proportional adjustment of light-duty hybrid-electric vehicle (HEV) MPG due to congestion
LdEvFactor: Proportional adjustment of light-duty battery electric vehicle (EV) MPkWh due to congestion
LdFcvFactor: Proportional adjustment of light-duty fuel cell vehicle (FCV) MPkWh due to congestion
HdIceFactor: Proportional adjustment of heavy-duty internal combustion engine (ICE) vehicle MPG due to congestion
ComSvcUrbanGGE: Average daily amount of hydrocarbon fuels consumed by commercial service vehicles associated with urban household activity in gas gallon equivalents
ComSvcRuralGGE: Average daily amount of hydrocarbon fuels consumed by commercial service vehicles associated with rural household activity in gas gallon equivalents
HvyTrkUrbanGGE: Average daily amount of hydrocarbon fuels consumed by heavy trucks on urbanized area roadways in the Marea in gas gallon equivalents
ComSvcUrbanKWH: Average daily amount of electricity consumed by commercial service vehicles associated with urban household activity in kilowatt-hours
ComSvcRuralKWH: Average daily amount of electricity consumed by commercial service vehicles associated with rural household activity in kilowatt-hours
ComSvcUrbanCO2e: Average daily amount of carbon-dioxide equivalents produced by commercial service vehicles associated with urban household activity in grams
ComSvcRuralCO2e: Average daily amount of carbon-dioxide equivalents produced by commercial service vehicles associated with rural household activity in grams
HvyTrkUrbanCO2e: Average daily amount of carbon-dioxide equivalents produced by heavy trucks on urbanized area roadways in the Marea in grams
ComSvcAveUrbanAutoCO2eRate: Average amount of carbon-dioxide equivalents produced by commercial service automobiles per mile of travel on urbanized area roadways in grams per mile
ComSvcAveUrbanLtTrkCO2eRate: Average amount of carbon-dioxide equivalents produced by commercial service light trucks per mile of travel on urbanized area roadways in grams per mile
HvyTrkAveUrbanCO2eRate: Average amount of carbon-dioxide equivalents produced by heavy trucks per mile of travel on urbanized area roadways in grams per mile
HvyTrkRuralGGE: Average daily amount of hydrocarbon fuels consumed by heavy trucks on rural roadways in the Region in gas gallon equivalents
HvyTrkUrbanGGE: Average daily amount of hydrocarbon fuels consumed by heavy trucks on urbanized area roadways in the Region in gas gallon equivalents
HvyTrkRuralKWH: Average daily amount of electricity consumed by heavy trucks on rural roadways in the Region in kilowatt-hours
HvyTrkUrbanKWH: Average daily amount of electricity consumed by heavy trucks on urbanized area roadways in the Region in kilowatt-hours
HvyTrkRuralCO2e: Average daily amount of carbon-dioxide equivalents produced by heavy trucks on rural roadways in the Region in grams
HvyTrkUrbanCO2e: Average daily amount of carbon-dioxide equivalents produced by heavy trucks on urbanized area roadways in the Region in grams
BusGGE: Average daily amount of hydrocarbon fuels consumed by bus transit vehicles in urbanized area in gas gallon equivalents
RailGGE: Average daily amount of hydrocarbon fuels consumed by rail transit vehicles in urbanized area in gas gallon equivalents
VanGGE: Average daily amount of hydrocarbon fuels consumed by van transit vehicles in urbanized area in gas gallon equivalents
BusKWH: Average daily amount of electricity consumed by bus transit vehicles in urbanized area in kilowatt-hours
RailKWH: Average daily amount of electricity consumed by rail transit vehicles in urbanized area in kilowatt-hours
VanKWH:Average daily amount of electricity consumed by van transit vehicles in urbanized area in kilowatt-hours
BusCO2e: Average daily amount of carbon-dioxide equivalents produced by bus transit vehicles in urbanized area in grams
RailCO2e: Average daily amount of carbon-dioxide equivalents produced by rail transit vehicles in urbanized area in grams
VanCO2e: Average daily amount of carbon-dioxide equivalents produced by van transit vehicles in urbanized area in grams
BusCO2eRate: Average amount of carbon-dioxide equivalents produced by bus transit vehicles per mile of travel in urbanized area in grams per mile
RailCO2eRate: Average amount of carbon-dioxide equivalents produced by rail transit vehicles per mile of travel in urbanized area in grams per mile
VanCO2eRate: Average amount of carbon-dioxide equivalents produced by van transit vehicles per mile of travel in urbanized area in grams per mile
AveVehCostPM: Average out-of-pocket cost in dollars per mile of vehicle travel
AveSocEnvCostPM: Average cost in dollars of the social and environmental impacts per mile of vehicle travel
AveRoadUseTaxPM: Average road use taxes in dollars collected per mile of vehicle travel
WalkTrips: Average number of walk trips per year by household members
BikeTrips: Average number of bicycle trips per year by household members
TransitTrips: Average number of public transit trips per year by household members
VehicleTrips: Average number of vehicle trips per day by household members

For simplicity, eight key metrics are calculated from multiple scenario runs and are shown on the Scenario Viewer output page:

GHG Target Reduction: percentage reduction in light-duty vehicle CHG emissions
DVMT Per Capita: daily vehicle miles of travel of residents divided by population
Walk Trips Per Capita: annual residents walk trips ( not including recreation or walk to transit)
Air Pollution Emissions: daily metric tons of pollutants emitted from all light-duty vehicle travel
Annual Fuel Use: annual million gallons of gasoline and other fuels consumed by all light-duty vehicle travel
Truck Delay: daily vehicle-hours of delay for heavy truck trael on area roads
Household Vehicle Cost as Percentage of Income: average percentage of income spent by all households by owning and operating light-duty vehicles
Low Income Household Vehicle Cost as Percentage of Income: average percentage of income spent by low-income households on owning and operating light-duty vehicles

9 Developing Scenarios

11 VE-State Model Details