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

This study formulates and estimates a joint model of vehicle type choice and utilization. A data set of vehicles drawn from the 2000 San Francisco Bay Area Travel Survey is used in the model. The joint discrete–continuous model system 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. Comparisons with previous estimation approaches for joint discrete–continuous model systems revealed that the copula-based methodology provides statistically superior goodness-of-fit. An application of the model system to simulate the impacts of a doubling in fuel price shows that individuals are more likely to shift vehicle type choices than vehicle use patterns. Directions for further research are discussed.

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  • Supplemental Notes:
    • This paper was presented at the Annual Meeting of the Transportation Research Board in January 2009.
  • Authors:
    • Spissu, Erika
    • Pinjari, Abdul Rawoof
    • Pendyala, Ram M
    • Bhat, Chandra R
  • Publication Date: 2009-7

Language

  • English

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  • Accession Number: 01141732
  • Record Type: Publication
  • Files: TRIS, ATRI
  • Created Date: Oct 17 2009 11:04PM