Abstract
Characteristics of household vehicles can influence daily travel behavior and can vary greatly by vehicle type. Vehicle type is defined here as a combination of body type, fuel type, and age. Using data compiled primarily from the National Household Travel Survey, a multinomial logit model was developed to predict vehicle type based on characteristics of the household that owns the vehicle. The model was then implemented for the San Francisco Bay Area in the ActivitySim activity-based modeling framework and validated against observed data. The ActivitySim project’s goal is to create and maintain advanced, open-source, activity-based travel behavior modeling software, based on best software development practices, for distribution to the public, free of charge. A naïve 2030 scenario was analyzed to show model response to changes in the vehicle fleet.
| Original language | English |
|---|---|
| Pages (from-to) | 1576-1589 |
| Number of pages | 14 |
| Journal | Transportation Research Record |
| Volume | 2678 |
| Issue number | 11 |
| DOIs | |
| State | Published - Nov 2024 |
Bibliographical note
Publisher Copyright:© The Author(s) 2024.
Funding
The authors would like to acknowledge the Association of Metropolitan Government’s ActivitySim consortium for funding this research and providing feedback on the vehicle-type model design and implementation.
| Funders |
|---|
| Association of Metropolitan Government |
Keywords
- activity based models
- choice models
- forecasts/forecasting
- general
- mode choice
- planning and analysis
- transportation demand forecasting
ASJC Scopus subject areas
- Civil and Structural Engineering
- Mechanical Engineering
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