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Modal choice in freight transport: combining multi-criteria decision analysis and geographic information systems

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  • Cathy Macharis
  • Dries Meers
  • Tom Van Lier

Abstract

To tackle the modal choice decision problem in container transport, a decision support model for comparing intermodal and unimodal road transport is developed, using a combined multi-criteria decision analysis - geographic information system approach. Multi-criteria decision analysis allows to simultaneously analyse many, possibly conflicting, modal choice criteria. First, a geographic information system-based model calculates the size or the score of the considered criteria, for each alternative route. Next, the multi-criteria decision analysis makes trade-offs among the relevant criteria and selects the most suitable transport option for a given transport. The model is tested for transport problems within Belgium, but can be applied to other cases. The comprehensive model can be used to make more consistent modal choice decisions to meet the specific preferences of users.

Suggested Citation

  • Cathy Macharis & Dries Meers & Tom Van Lier, 2015. "Modal choice in freight transport: combining multi-criteria decision analysis and geographic information systems," International Journal of Multicriteria Decision Making, Inderscience Enterprises Ltd, vol. 5(4), pages 355-371.
    • Handle: RePEc:ids:ijmcdm:v:5:y:2015:i:4:p:355-371
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    Citations

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    Cited by:

    1. Özceylan, Eren & Çetinkaya, Cihan & Erbaş, Mehmet & Kabak, Mehmet, 2016. "Logistic performance evaluation of provinces in Turkey: A GIS-based multi-criteria decision analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 323-337.
    2. Gohari, Adel & Ahmad, Anuar Bin & Balasbaneh, Ali Tighnavard & Gohari, Ali & Hasan, Razi & Sholagberu, Abdulkadir Taofeeq, 2022. "Significance of intermodal freight modal choice criteria: MCDM-based decision support models and SP-based modal shift policies," Transport Policy, Elsevier, vol. 121(C), pages 46-60.

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