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Integrate an accessibility measure in the modal choice of strategic freight transport models

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  • Jourquin, Bart

    (Université catholique de Louvain, LIDAM/CORE, Belgium)

Abstract

Modal choice models for strategic freight transportation studies covering large inter-regional or international areas generally rely on basic explanatory variables such as transportation costs and transit times. Using origin-destination matrixes, it is also possible to compute an accessibility measure that can further be used as an additional explanatory variable. This paper shows that the inclusion of an accessibility measure in the utility functions used for a logit model significantly improves its predictive power. Moreover, when the refined model is used to compute cost and transit time elasticities, the obtained (absolute) values are somewhat lower. The use of an accessibility measure in the modal choice model has thus a double advantage for policymakers: it improves the predictive power of the freight transport model, giving more accurate traffics on the modal networks, and it avoids overestimations of own and cross-elasticities.

Suggested Citation

  • Jourquin, Bart, 2021. "Integrate an accessibility measure in the modal choice of strategic freight transport models," LIDAM Discussion Papers CORE 2021031, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvco:2021031
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    References listed on IDEAS

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    1. Isabelle Thomas & Jean‐Pierre Hermia & Thierry Vanelslander & Ann Verhetsel, 2003. "Accessibility to freight transport networks in Belgium: a geographical approach," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 94(4), pages 424-438, September.
    2. Liedtke, Gernot & Carrillo Murillo, David Guillermo, 2012. "Assessment of policy strategies to develop intermodal services: The case of inland terminals in Germany," Transport Policy, Elsevier, vol. 24(C), pages 168-178.
    3. Rich, J. & Holmblad, P.M. & Hansen, C.O., 2009. "A weighted logit freight mode-choice model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(6), pages 1006-1019, November.
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