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Mixed modelling of interurban trips by coach and train

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  • de Dios Ortuzar, Juan
  • Iacobelli, Andres

Abstract

A stated preference (SP) experiment for interurban trips by coach or train was designed and programmed on portable computers with the aid of specialized software. Trip characteristics and socio-economic information about each individual were also gathered. Four variables were considered: travel time, fare, comfort and reliability. Data for 112 individuals were collected, 14 of which always preferred train; this behaviour was attributed to safety and comfort reasons and therefore the latter were treated separately because of their peculiarity. The data for the remaining 98 cases had ten choices available for each individual; thus we had a final sample of 980 observations for the calibration stage. The next phase of the project was to add revealed preference (RP) data which came from two sources: that collected during the SP experiment (i.e. 98 individuals) and another sample taken as part of a previous research project conducted by the Universidad de Chile (407 individuals). The complete data set was used to examine several issues in the mixed estimation of RP/SP models, such as: appropriate model structure, structural variations between the estimation and forecasting stages (including the role of mode specific constants and inertia-like variables), and influence of the relative proportions of RP and SP data in the modelling results. Our findings, particularly in terms of subjective values of time, are compared with previous studies both in Chile and elsewhere.

Suggested Citation

  • de Dios Ortuzar, Juan & Iacobelli, Andres, 1998. "Mixed modelling of interurban trips by coach and train," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(5), pages 345-357, September.
    • Handle: RePEc:eee:transa:v:32:y:1998:i:5:p:345-357
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    References listed on IDEAS

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    1. Gaudry, Marc J. I. & Jara-Diaz, Sergio R. & Ortuzar, Juan de Dios, 1989. "Value of time sensitivity to model specification," Transportation Research Part B: Methodological, Elsevier, vol. 23(2), pages 151-158, April.
    2. Jara-Díaz, Sergio R. & Farah, Marcelo, 1987. "Transport demand and users' benefits with fixed income: The goods/leisure trade off revisited," Transportation Research Part B: Methodological, Elsevier, vol. 21(2), pages 165-170, April.
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    1. Ortúzar, Juan de Dios & Simonetti, Carolina, 2008. "Modelling the demand for medium distance air travel with the mixed data estimation method," Journal of Air Transport Management, Elsevier, vol. 14(6), pages 297-303.
    2. Yuzhao Zhang & Jianqiang Wang & Wenjuan Cai, 2019. "Passengers’ Demand Characteristics Experimental Analysis of EMU Trains with Sleeping Cars in Northwest China," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    3. Van Acker, Veronique & Kessels, Roselinde & Palhazi Cuervo, Daniel & Lannoo, Steven & Witlox, Frank, 2020. "Preferences for long-distance coach transport: Evidence from a discrete choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 759-779.
    4. Espino Espino, R. & De Dios Ortúzar Salas, J. & Román García, C., 2004. "Diseño de preferencias declaradas para analizar la demanda de viajes," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 22, pages 1-33, Diciembre.
    5. Ho, Chinh Q. & Mulley, Corinne, 2013. "Multiple purposes at single destination: A key to a better understanding of the relationship between tour complexity and mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 206-219.
    6. Ho, Chinh Q. & Hensher, David A. & Wang, Shangbo, 2020. "Joint estimation of mode and time of day choice accounting for arrival time flexibility, travel time reliability and crowding on public transport," Journal of Transport Geography, Elsevier, vol. 87(C).

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