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Predicting travel pattern changes of freight trucks in the Tokyo Metropolitan area based on the latest large-scale urban freight survey and route choice modeling

Author

Listed:
  • Oka, Hideki
  • Hagino, Yasukatsu
  • Kenmochi, Takeshi
  • Tani, Ryota
  • Nishi, Ryuta
  • Endo, Kotaro
  • Fukuda, Daisuke

Abstract

This study aims at predicting travel pattern changes of freight trucks in the Tokyo Metropolitan Area by taking full advantage of the latest large-scale urban freight survey. We found that travel patterns changed significantly depending on the type of trucks. A route choice model with the concept of the maximum route-overlapping ratio was developed and the calibrated model was found to be appropriate for our analysis. Finally, we analyzed various policy scenarios and found that the full operation of the three ring roads would contribute to smoother traffic whereas the extension of weight-designated road might have a relatively small impact.

Suggested Citation

  • Oka, Hideki & Hagino, Yasukatsu & Kenmochi, Takeshi & Tani, Ryota & Nishi, Ryuta & Endo, Kotaro & Fukuda, Daisuke, 2019. "Predicting travel pattern changes of freight trucks in the Tokyo Metropolitan area based on the latest large-scale urban freight survey and route choice modeling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 305-324.
    • Handle: RePEc:eee:transe:v:129:y:2019:i:c:p:305-324
    DOI: 10.1016/j.tre.2017.12.011
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    References listed on IDEAS

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    1. Florence Toilier & Marc Serouge & Jean-Louis Routhier & Danièle Patier & Mathieu Gardrat, 2016. "How can Urban Goods Movements be Surveyed in a Megacity? The Case of the Paris Region," Post-Print halshs-01474235, HAL.
    2. Alain Bonnafous & Danièle Patier & Jean-Louis Routhier & Florence Toilier & Marc Serouge, 2016. "French Surveys of the Delivery Approach: From Cross-section to Diachronic Analyses," Post-Print halshs-01474242, HAL.
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    5. Frejinger, E. & Bierlaire, M., 2007. "Capturing correlation with subnetworks in route choice models," Transportation Research Part B: Methodological, Elsevier, vol. 41(3), pages 363-378, March.
    6. Fosgerau, Mogens & Frejinger, Emma & Karlstrom, Anders, 2013. "A link based network route choice model with unrestricted choice set," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 70-80.
    7. Hess, Stephane & Quddus, Mohammed & Rieser-Schüssler, Nadine & Daly, Andrew, 2015. "Developing advanced route choice models for heavy goods vehicles using GPS data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 29-44.
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    Cited by:

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    3. Demissie, Merkebe Getachew & Kattan, Lina, 2022. "Estimation of truck origin-destination flows using GPS data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    4. Sahu, Prasanta K. & Qureshi, Danish & Pani, Agnivesh, 2022. "Examining commercial vehicle fleet ownership decisions and the mediating role of freight generation: A structural equation modeling assessment," Transport Policy, Elsevier, vol. 126(C), pages 26-33.
    5. Yang, Yitao & Jia, Bin & Yan, Xiao-Yong & Li, Jiangtao & Yang, Zhenzhen & Gao, Ziyou, 2022. "Identifying intercity freight trip ends of heavy trucks from GPS data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).

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