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Freight transport models: Ready to support transport policy of the future?

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  • Meersman, Hilde
  • Van de Voorde, Eddy

Abstract

The traditional model-based approach is no longer capable of grasping developments in freight transport within an ever more rapidly changing world. Most models that have been used in the past to explain and predict the demand for freight transport did not devote sufficient consideration to structural, organisational and behavioural changes. Several important global developments that are taking place could have a structural effect on freight transport, with a number of consequences for modelling. This paper addresses several global developments in greater depth, along with their impact on freight transport. This is followed by a discussion of the future of freight models. It is unclear which approach would be appropriate for freight transport under these conditions. This is a clear problem that is linked to a research agenda.

Suggested Citation

  • Meersman, Hilde & Van de Voorde, Eddy, 2019. "Freight transport models: Ready to support transport policy of the future?," Transport Policy, Elsevier, vol. 83(C), pages 97-101.
    • Handle: RePEc:eee:trapol:v:83:y:2019:i:c:p:97-101
    DOI: 10.1016/j.tranpol.2019.01.014
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    References listed on IDEAS

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    Cited by:

    1. Vitalii Naumov & Andrzej Szarata & Hanna Vasiutina, 2022. "Simulating a Macrosystem of Cargo Deliveries by Road Transport Based on Big Data Volumes: A Case Study of Poland," Energies, MDPI, vol. 15(14), pages 1-23, July.
    2. Karol Tucki & Remigiusz Mruk & Olga Orynycz & Andrzej Wasiak & Katarzyna Botwińska & Arkadiusz Gola, 2019. "Simulation of the Operation of a Spark Ignition Engine Fueled with Various Biofuels and Its Contribution to Technology Management," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    3. Edoardo Marcucci & Valerio Gatta & Michela Le Pira & Lisa Hansson & Svein Bråthen, 2020. "Digital Twins: A Critical Discussion on Their Potential for Supporting Policy-Making and Planning in Urban Logistics," Sustainability, MDPI, vol. 12(24), pages 1-15, December.
    4. Stojanović, Đurđica & Ivetić, Jelena, 2020. "Possibilities of using Incoterms clauses in a country logistics performance assessment and benchmarking," Transport Policy, Elsevier, vol. 98(C), pages 217-228.
    5. Steffen Jaap Skotvoll Bakker & Jonas Martin & E. Ruben van Beesten & Ingvild Synn{o}ve Brynildsen & Anette Sandvig & Marit Siqveland & Antonia Golab, 2023. "STraM: A strategic network design model for national freight transport decarbonization," Papers 2304.14001, arXiv.org, revised Aug 2024.
    6. Tavasszy, Lóránt A., 2020. "Predicting the effects of logistics innovations on freight systems: Directions for research," Transport Policy, Elsevier, vol. 86(C), pages 1-6.
    7. Göçer, Aysu & Özpeynirci, Özgür & Semiz, Meltem, 2022. "Logistics performance index-driven policy development: An application to Turkey," Transport Policy, Elsevier, vol. 124(C), pages 20-32.

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    Keywords

    Freight; Modelling; Future;
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