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Logistics facilities for intra and inter-regional shipping: Spatial distributions, location choice factors, and externality

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  • Sakai, Takanori
  • Kawamura, Kazuya
  • Hyodo, Tetsuro

Abstract

Existing studies of urban logistics facility locations and their impacts on negative externality tend to focus on the movements of freight that start and end within a metropolitan area and overlook the role of the shipments with origin or destination outside of the urban area – external shipments – in characterizing logistics facilities. This research aims to fill such gap. Focusing on the Tokyo Metropolitan Area, we analyze locations and goods vehicle trips associated with four logistics facility groups that have different splits between intra and inter-regional trips for inbound and outbound shipments. The spatial density analysis and the location choice modeling highlight the differences in the distribution and location choice factors among those groups. The importance of trip distance minimization is more evident for the facilities that serve intra-regional shipments. Furthermore, we show that the traffic impacts of goods vehicle traffic associated with logistics facilities also differ in many ways among the above-mentioned groups. Finally, we discuss the policy insights to address their heterogeneity in the contribution to externality.

Suggested Citation

  • Sakai, Takanori & Kawamura, Kazuya & Hyodo, Tetsuro, 2020. "Logistics facilities for intra and inter-regional shipping: Spatial distributions, location choice factors, and externality," Journal of Transport Geography, Elsevier, vol. 86(C).
    • Handle: RePEc:eee:jotrge:v:86:y:2020:i:c:s0966692320301393
    DOI: 10.1016/j.jtrangeo.2020.102783
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    References listed on IDEAS

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    Cited by:

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    5. Kangye Tan & Fang Xu & Xiaozhao Fang & Chunsheng Li, 2023. "Research on Location Selection for Urban Networks of Less-than-Truckload Express Enterprises Based on Improved Immune Optimization Algorithm," Mathematics, MDPI, vol. 11(6), pages 1-20, March.
    6. Kang, Sanggyun, 2022. "Exploring the contextual factors behind various phases in logistics sprawl: The case of Seoul Metropolitan Area, South Korea," Journal of Transport Geography, Elsevier, vol. 105(C).
    7. Guerrero, D. & Hubert, J.-P. & Koning, M. & Roelandt, N., 2022. "On the spatial scope of warehouse activity: An exploratory study in France," Journal of Transport Geography, Elsevier, vol. 99(C).
    8. Trent, Nadia M. & Joubert, Johan W., 2022. "Logistics sprawl and the change in freight transport activity: A comparison of three measurement methodologies," Journal of Transport Geography, Elsevier, vol. 101(C).
    9. Yang, Zhiwei & Chen, Xiaohong & Pan, Ruixu & Yuan, Quan, 2022. "Exploring location factors of logistics facilities from a spatiotemporal perspective: A case study from Shanghai," Journal of Transport Geography, Elsevier, vol. 100(C).
    10. Zhang, Xinfang & Liu, Chengliang & Peng, Yan & Lu, Jing, 2023. "Connectivity-based spatial patterns and factors influencing international container multimodal hubs in China under the Belt and Road initiative," Transport Policy, Elsevier, vol. 143(C), pages 10-24.

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