Revealed Preference Analysis of Commercial Vehicle Choice Process
Publication: Journal of Transportation Engineering
Volume 128, Issue 4
Abstract
The paper discusses modeling the commercial vehicle choice process as part of a discrete-continuous choice formulation, with the shipment size as the continuous variable, and the type of vehicle as the discrete choice, in the context of a case study. The results indicate that shipment size could be adequately modeled as a function of the trip distance, the type of commodity being transported, and the type of economic activity taking place at the origin and destination of the trip. The choice of the type of vehicle was modeled using a discrete choice formulation with variable choice sets conditioned by the shipment size. Market elasticities were estimated under two different models—a multinomial logit model and the heteroscedastic extreme value (HEV) model. It was found that the HEV model provided a more realistic assessment of the cross-elasticities of choice. The strong role played by the economic activity at the trip origin and destination suggests the need for further exploring the integration of these variables as part of commodity based modeling. Among other things, this has the potential for providing an enhanced representation of the economic linkages that determine freight demand.
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References
Abdelwahab, W. M.(1998). “Elasticities of mode choice probabilities and market elasticities of demand: Evidence from simultaneous mode choice/shipment size freight transport models.” Trans. Res., Part E, 34(4), 257–266.
Abdelwahab, W. M., and Sargious, M. A.(1991). “A simultaneous decision-making approach to model the demand for freight transportation.” Can. J. Civ. Eng., 18(3), 515–520.
Allenby, G., and Ginter, J.(1995). “The effects of in-store displays and feature advertising on consideration sets.” Int. J. Research Marketing, 12, 67–80.
Bhatt, C. R.(1995). “A heteroscedastic extreme value model of intercity mode choice.” Transp. Res., Part B, 29(6), 471–483.
Chiang, Y., Roberts, P. O., and Ben-Akiva, M. (1980). “Development of a policy sensitive model for forecasting freight demand.” Rep. No. CTS91-1, Center for Transportation Studies, Cambridge, Mass.
Harker, P., and Friesz, T.(1986). “Prediction of intercity freight flows, I: Theory.” Transp. Res. Part B, 20(2), 139–153.
Hensher, D., and King, J.(1998). “Establishing fare elasticity regimes for urban passenger transport: Time-based fares for concession and non-concession markets segmented by trip length.” J. Transportation Statistics, 1(1), 43–61.
Hensher, D., and Milthorpe, F. (1986). “Selectivity correction in discrete-continuous choice analysis: With empirical evidence for vehicle choice and use.” Regional science and urban economics—Special issue on spatial choice analysis, P. Nijkamp, ed.
Holgun-Veras, J. (1984a). Comprehensive study of the transportation system of the capital region, Tranplan s.r.l., Caracas, Venezuela.
Holgun-Veras, J. (1984b). “Desarrollo de un Modelo para Cuantificar la Oferta Vehicular del Transporte de Carga.” MS thesis, Universidad Central de Venezuela, Instituto de Urbanismo, Venzuela (in Spanish).
Holgun-Veras, J., and Jara-Daz, S.(1999). “Optimal space allocation and pricing for priority service at container ports.” Transp. Res. Part B, 33(2), 81–106.
Holgun-Veras, J., and Thorson, E. (2000). “An investigation of the relationships between the trip length distributions in commodity-based and trip-based freight demand modeling.” Transportation Research Record 1707, Transportation Research Board, Washington, D.C., 37–48.
Mannering, F., and Hensher, D.(1987). “Discrete/continuous econometric models and their application to transport analysis.” Transport Rev., 7, 227–244.
Mannering, F., and Winston, C. (1985). “A dynamic empirical analysis of household vehicle ownership and utilization.” Rand J. Econom., 16, 215–236.
McFadden, D., Winston, C., and Boersch-Supan, A. (1986). “Joint estimation of freight transportation decisions under non-random sampling.” Analytical studies in transport economics, A. Daugherty, ed., Cambridge University Press, New York.
The New York State thickness design manual for new and reconstructed pavements. (1994). New York State Dept. of Transportation—Technical Services Div., Albany, N.Y.
Ogden, K. W. (1992). Urban goods movement, Ashgate, Brookfield, Vt.
Samuelson, R. D. (1977). “Modeling the freight rate structure.” Rep. No. CTS, Center for Transportation Studies, Massachusetts Institute of Technology, Cambridge, Mass.
Train, K. (1986). Qualitative choice analysis, Massachusetts Institute of Technology Press, Cambridge, Mass.
Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 128 • Issue 4 • July 2002
Pages: 336 - 346
Copyright
Copyright © 2002 American Society of Civil Engineers.
History
Received: Jun 5, 2000
Accepted: Oct 11, 2001
Published online: Jun 14, 2002
Published in print: Jul 2002
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