Impactos del cambio climático

Ohio has financed a benefit tracking module. In this model, the user’s benefit due to congestion reduction was calculated based on the model and ODOT’s congestion management post-processor. The detailed O-D survey was conducted to determine the diversion of traffic which enters the city while the amount of traffic diverted to a particular area was determined by the statewide model (Giaimo et al., 2005). One of the implications of the Jobs and Progress Plan in the Ohio model (Taft and Proctor, 2003) was the increase in highway safety. 1999-2001 crash data were used to guide ODOT in allocating funds for the roadway improvement in high crash locations.

The summary of suggested data based on the review of other states’ development module is shown in Table 13.

MD-11-SP009B4S Project Final Report UMD Transportation Systems Research Lab 100 Table 13. Data Requirement for Advanced Travel Demand Model in Other States

Development Module Model Reviewed Data Used in the model Minimum data

required

Preferred data 1. Advanced discrete choice analysis

of trip frequency, destination, and mode choices

California HSR model 2000/2001 Statewide Household Travel Survey, GPS travel survey, 3 urban household travel survey, Air, Rail, and Auto Passenger Surveys, Highway network from urban model, Caltran statewide socioeconomic data from Caltrans, U.S. Census (PUMS) , and the U.S. Census bureau data

Operational data for major transportation modes

SP of household travel survey

2. Tour-based approach New Hampshire model

(NHSTMS) 1994/1995 New Hampshire Activities and Travel Survey, on board transit survey 1994, vehicle intercept survey 1994, SP travel survey, Highway network data (GDS), Transit operation data , Socioeconomic data from U.S. Census (PUMS) and household forecast by community, and employment forecast by county

Household travel and

activity data Spatial data including land use, population, household

demographics, and employment

3. Population synthesizer Atlanta model (ARC), New Hampshire model (NHSTMS)

U.S. Census (PUMS), land use data , network data, and the vehicle population data

U.S. Census PUMS data Land use data (activity locations and characteristics), network data, vehicle populations data

4. Time-of-day model and peak- spreading analysis

New Hampshire model (NHSTMS)

1994/1995 New Hampshire Activities and Travel Survey

Household travel and activity data

SP survey of travel propensity to travel time shift

MD-11-SP009B4S Project Final Report UMD Transportation Systems Research Lab 101

Development Module Model Reviewed Data Used in the model Minimum data

required

Preferred data 5. Pricing modules with

calibrated/validated sensitivities

Interstate 75 Stated Preference (SP) Survey for the Georgia State Road and Tollway Authority (SRTA)

SP survey of toll price and time

savings from HOT lane SP survey of Toll Pricing SP survey of freeway toll pricing

6. Integration of sub-area/corridor microscopic traffic assignment model

Florida DOT Aggregate five-minute volume and

occupancy data, network GIS data. signal timing data, origin/destination TAZ data

Network GIS data. signal timing data, origin/destination TAZ data

Aggregate five- minute volume and occupancy data

7. Multimodal commodity-based freight analysis module

Florida statewide freight

model Population and employment data, Employment by commodity and employment data by industry sector, Highway network from Statewide Model , the National Highway Planning Network, TRANSEARCH, intermodal facilities location in coordinates

Employment by industry and

households/populations (by TAZ), freight intermodal data, commodity flow table (or local vehicle survey data)

Intermodal transfer data and SP survey of factor

influencing mode choice decision

8. Integration of environmental impact post-processing module

MOVES model (EPA) Fuel efficiency and vehicle miles traveled (VMT) by vehicle and fuel type from EPA’s MOBILE6 model or from EIA’s Annual Energy Outlook, output of statewide model in term of trips by mode, vehicle type, and time of day

National data of fuel efficiency and instate VMT by vehicle/fuel type

State level data on fuel efficiency

MD-11-SP009B4S Project Final Report UMD Transportation Systems Research Lab 102

Development Module Model Reviewed Data Used in the model Minimum data

required

Preferred data 9. Vehicle ownership and

availability module

New Hampshire model

(NHSTMS) U.S. Census (PUMS) for New Hampshire U.S. Census PUMS data SP of vehicle characteristics 10. Integration with land use and

economic models

Ohio Statewide Model Network data (ODOT), Socioeconomic data included employment and wages data (ES 202) and U.S. Census (PUMS), Land use and land value data, IMPLAN data

Network data, Socioeconomic data from PUMS, Land use and land value data

IMPLAN data,

Employment and wages data (ES 202), land use plan and the regional forecast , land use environmental

constraint, development cost , SP survey on housing location for mover

11. Trip/tour generation

/distribution/mode choice analysis module for smart growth land development

Lund et al. (2004) Transit Oriented Development in CA

1) site intercept survey, 2) travel behavior survey, 3) resident survey, 4) office employee survey, 5) survey of retail patrons, and 6) hotel guests and employee survey

1) site intercept survey, 2) travel behavior survey, 3) resident survey, 4) office employee survey, 5) survey of retail patrons, 6) hotel guests and employee survey

Longitudinal activity- travel survey, street pattern, density, and mix of surrounding uses, transit and pedestrian system characteristics, and safety and security among other features 12. Activity-based model with

phased implementation

Oregon Statewide Model Household activity and travel survey 1994, MWVCOG time-use activity survey, Rural Oregon travel behavior survey 2000, longitudinal panel survey 2003, Census Public Use Micro Data Sample (PUMS)

Census Public Use Micro Data Sample (PUMS), household travel activity survey and transit surveys

SP household travel survey, longitudinal panel survey of activities and travel

13. Tracking the benefits of Statewide travel demand models

Ohio Statewide Model Detailed OD survey data, 1999-2001

MD-11-SP009B4S Project Final Report UMD Transportation Systems Research Lab 103