Journal
TRANSPORTATION
Volume 36, Issue 4, Pages 403-422Publisher
SPRINGER
DOI: 10.1007/s11116-009-9208-x
Keywords
Vehicle type choice; Vehicle usage; Vehicle miles of travel; Copula-based approach; Discrete-continuous choice modeling; Travel behavior; Greenhouse gas emissions; Transportation energy consumption
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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.
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