Abstract
In this paper, a joint model of vehicle type choice and utilization is formulated and estimated on a data set of vehicles drawn from the 2000 San Francisco Bay Area Travel Survey. The joint discrete-continuous model system formulated in this study explicitly accounts for common unobserved factors that may affect the choice and utilization of a certain vehicle type (i.e., self-selection effects). A new copula-based methodology is adopted to facilitate model estimation without imposing restrictive distribution assumptions on the dependency structures between the errors in the discrete and continuous choice components. The copula-based methodology is found to provide statistically superior goodness-of-fit when compared with previous estimation approaches for joint discrete-continuous model systems. The model system, when applied to simulate the impacts of a doubling in fuel price, shows that individuals are more likely to shift vehicle type choices than vehicle usage patterns.
Original language | English (US) |
---|---|
Pages (from-to) | 403-422 |
Number of pages | 20 |
Journal | Transportation |
Volume | 36 |
Issue number | 4 |
DOIs | |
State | Published - 2009 |
Keywords
- Copula-based approach
- Discrete-continuous choice modeling
- Greenhouse gas emissions
- Transportation energy consumption
- Travel behavior
- Vehicle miles of travel
- Vehicle type choice
- Vehicle usage
ASJC Scopus subject areas
- Civil and Structural Engineering
- Development
- Transportation