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A disaggregate freight transport chain choice model for Europe

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  • Jensen, Anders Fjendbo
  • Thorhauge, Mikkel
  • de Jong, Gerard
  • Rich, Jeppe
  • Dekker, Thijs
  • Johnson, Daniel
  • Cabral, Manuel Ojeda
  • Bates, John
  • Nielsen, Otto Anker

Abstract

This paper presents the estimation of a discrete freight transport chain choice model for Europe, which was developed for the European Union as part of the Transtools 3 project. The model describes nine different multi- and single mode chain alternatives of which three can be either container or non-containerised, and it segments freight into dry bulk, liquid bulk, containers and general cargo. The model was estimated on the basis of disaggregate data at the shipment level (Swedish CFS and French ECHO data). Several transport costs specifications and nesting structures were tested and elasticities compared with reference literature. It was found that freight models are characterised by heterogeneity, non-linearity in transport costs and hence Value of Times and non-constant rates of substitution. Not taking these elements into account will have consequences for the evaluation of transport policies using the freight transport model.

Suggested Citation

  • Jensen, Anders Fjendbo & Thorhauge, Mikkel & de Jong, Gerard & Rich, Jeppe & Dekker, Thijs & Johnson, Daniel & Cabral, Manuel Ojeda & Bates, John & Nielsen, Otto Anker, 2019. "A disaggregate freight transport chain choice model for Europe," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 43-62.
    • Handle: RePEc:eee:transe:v:121:y:2019:i:c:p:43-62
    DOI: 10.1016/j.tre.2018.10.004
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    3. Rosell, Francisca & Codina, Esteve & Montero, Lídia, 2022. "A combined and robust modal-split/traffic assignment model for rail and road freight transport," European Journal of Operational Research, Elsevier, vol. 303(2), pages 688-698.
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    5. Holguín-Veras, José & Kalahasthi, Lokesh & Campbell, Shama & González-Calderón, Carlos A. & (Cara) Wang, Xiaokun, 2021. "Freight mode choice: Results from a nationwide qualitative and quantitative research effort," Transportation Research Part A: Policy and Practice, Elsevier, vol. 143(C), pages 78-120.
    6. Björk, Lisa & Vierth, Inge & Cullinane, Kevin, 2023. "Freight modal shift: A means or an objective in achieving lower emission targets? The case of Sweden," Transport Policy, Elsevier, vol. 142(C), pages 125-136.
    7. Larsen, Rune & Rich, Jeppe & Rasmussen, Thomas Kjær, 2019. "Hub-based truck platooning: Potentials and profitability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 249-264.
    8. Park, Arim & Chen, Roger & Cho, Soohyun & Zhao, Yao, 2023. "The determinants of online matching platforms for freight services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    9. Kalahasthi, Lokesh & Holguín-Veras, José & Yushimito, Wilfredo F., 2022. "A freight origin-destination synthesis model with mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    10. Keya, Nowreen & Anowar, Sabreena & Bhowmik, Tanmoy & Eluru, Naveen, 2021. "A joint framework for modeling freight mode and destination choice: Application to the US commodity flow survey data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    11. Verena Maria Stockhammer & Sarah Pfoser & Karin Markvica & Jürgen Zajicek & Matthias Prandtstetter, 2021. "Behavioural Biases Distorting the Demand for Environmentally Friendly Freight Transport Modes: An Overview and Potential Measures," Sustainability, MDPI, vol. 13(21), pages 1-34, October.

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