A Copula-Based Joint Multinomial Discrete-Continuous Model of Vehicle Type Choice and Miles of Travel

Date

2009

Authors

Spissu, Erika
Pinjari, Abdul R.
Pendyala, Ram M.
Bhat, Chandra R.

Journal Title

Journal ISSN

Volume Title

Publisher

Springer

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.

Description

At the time of publication E. Spissu was at the University of Cagliari; A.R. Pinjari was at the University of South Florida; R.M. Pendyala was at Arizona State University; and C.R. Bhat was at the University of Texas at Austin.

LCSH Subject Headings

Citation

Spissu, E., A.R. Pinjari, R.M. Pendyala, and C.R. Bhat (2009). A Copula-Based Joint Multinomial Discrete-Continuous Model of Vehicle Type Choice and Miles of Travel.�Transportation, Vol. 36, No. 4, pp. 403-422.