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Descriptive modeling of freight tour formation: A shipment-based approach

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  • Thoen, Sebastiaan
  • Tavasszy, Lóránt
  • de Bok, Michiel
  • Correia, Goncalo
  • van Duin, Ron

Abstract

An increasing amount of research is dedicated to the consideration of tour formation in freight transportation demand models. While empirical tour formation models so far have been starting from limiting assumptions about the resulting trips, we develop a generalized shipment-based model. We formulate a random utility model embedded in an iterative algorithm to construct tours through the incremental allocation of shipments. It considers different objectives and constraints and acknowledges the difference between commodity, vehicle and location types. Parameters are estimated on a large and comprehensive shipment database. The model reproduces observed tour statistics well for the given set of shipments.

Suggested Citation

  • Thoen, Sebastiaan & Tavasszy, Lóránt & de Bok, Michiel & Correia, Goncalo & van Duin, Ron, 2020. "Descriptive modeling of freight tour formation: A shipment-based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    • Handle: RePEc:eee:transe:v:140:y:2020:i:c:s1366554520306402
    DOI: 10.1016/j.tre.2020.101989
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    Cited by:

    1. Mathieu Gardrat & Pascal Pluvinet, 2021. "Markov based mesoscopic simulation tool for urban freight: SIMTURB," Working Papers halshs-03284321, HAL.
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    3. Balbontin, Camila & Hensher, David A. & Ho, Chinh, 2023. "Light commercial vehicles destination choice: Understanding preferences relative to the number of stop and tour-based trip type," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    4. Pani, Agnivesh & Mishra, Sabya & Sahu, Prasanta, 2022. "Developing multi-vehicle freight trip generation models quantifying the relationship between logistics outsourcing and insourcing decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    5. Regal, Andrés & Gonzalez-Feliu, Jesús & Rodriguez, Michelle, 2023. "A spatio-functional logistics profile clustering analysis method for metropolitan areas," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    6. 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).
    7. Tapia, Rodrigo J. & Kourounioti, Ioanna & Thoen, Sebastian & de Bok, Michiel & Tavasszy, Lori, 2023. "A disaggregate model of passenger-freight matching in crowdshipping services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    8. de Bok, Michiel & Tavasszy, Lóránt & Sebastiaan Thoen,, 2022. "Application of an empirical multi-agent model for urban goods transport to analyze impacts of zero emission zones in The Netherlands," Transport Policy, Elsevier, vol. 124(C), pages 119-127.

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