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Freight transport modelling in urban areas: The French case of the FRETURB model

Author

Listed:
  • Florence Toilier

    (LAET - Laboratoire Aménagement Économie Transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Mathieu Gardrat

    (LAET - Laboratoire Aménagement Économie Transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Jean-Louis Routhier

    (LAET - Laboratoire Aménagement Économie Transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Alain Bonnafous

    (LAET - Laboratoire Aménagement Économie Transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

Abstract

Urban freight transport suffers from a significant modelling gap compared to passenger transport. The target of this paper is to expose one of the first widely operable methods used in urban freight modelling and its main outputs through the FRETURB design. By reviewing the complete process of its construction, starting with the identification of urban policy needs, the relevant survey and databases construction methods, the modelling allowing the simulation of the effects of governance, we illustrate through the French case what are the elements of success for such a scientific endeavour. The adaptation of freight models to the urban environment strongly relies on an efficient unit of observation, which is introduced as the spine of the model after discussing the main approaches of urban freight transport modelling. The main features of the model are then presented from the generation to the distribution of freight operations and are confronted to elements of validation. The robustness of the model is also discussed through time by analysing elements of its initial calibration 20 years ago and the latest results of urban freight surveys in order to highlight its strengths and weaknesses. We show that the model is able to summarize efficiently the urban freight transport phenomenon and is still statistically robust twenty years after its first design although it needs marginal adaptations on organisational elements.

Suggested Citation

  • Florence Toilier & Mathieu Gardrat & Jean-Louis Routhier & Alain Bonnafous, 2018. "Freight transport modelling in urban areas: The French case of the FRETURB model," Post-Print halshs-02130945, HAL.
    • Handle: RePEc:hal:journl:halshs-02130945
    DOI: 10.1016/j.cstp.2018.09.009
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    Citations

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    Cited by:

    1. Savadogo, Ibrahim & Gardrat, Mathieu & Koning, Martin, 2023. "Environmental and economic evaluation of a low emission zone for urban freight transport," Research in Transportation Economics, Elsevier, vol. 102(C).
    2. Clara Moreira Senne & Josiane Palma Lima & Fábio Favaretto, 2021. "An Index for the Sustainability of Integrated Urban Transport and Logistics: The Case Study of São Paulo," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    3. Gardrat, Mathieu, 2021. "Urban growth and freight transport: From sprawl to distension," Journal of Transport Geography, Elsevier, vol. 91(C).
    4. Holguín-Veras, José & Kalahasthi, Lokesh & Ramirez-Rios, Diana G., 2021. "Service trip attraction in commercial establishments," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    5. Daniel Kaszubowski, 2019. "A Method for the Evaluation of Urban Freight Transport Models as a Tool for Improving the Delivery of Sustainable Urban Transport Policy," Sustainability, MDPI, vol. 11(6), pages 1-23, March.
    6. Ibrahim Savadogo & Adrien Beziat, 2021. "Evaluating the potential environmental impacts of a large scale shift to off-hour deliveries," Post-Print halshs-03045859, HAL.
    7. Sanchez-Diaz, Ivan, 2020. "Assessing the magnitude of freight traffic generated by office deliveries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 279-289.
    8. Krug, Jean & Burianne, Arthur & Bécarie, Cécile & Leclercq, Ludovic, 2021. "Refining trip starting and ending locations when estimating travel-demand at large urban scale," Journal of Transport Geography, Elsevier, vol. 93(C).
    9. Pani, Agnivesh & Sahu, Prasanta K., 2022. "Modelling non-response in establishment-based freight surveys: A sampling tool for statewide freight data collection in middle-income countries," Transport Policy, Elsevier, vol. 124(C), pages 128-138.

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