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Exploring location factors of logistics facilities from a spatiotemporal perspective: A case study from Shanghai

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  • Yang, Zhiwei
  • Chen, Xiaohong
  • Pan, Ruixu
  • Yuan, Quan

Abstract

In the era of economic globalization and the e-commerce boom, the demand for urban logistics has been rapidly growing in terms of both scale and intensity. The spatial clustering of logistics facilities and their associated environmental consequences has caused growing concern. This study analyzes the spatial evolution of logistics facilities and establishes a series of regression models to explore the driving factors of logistics facility location choice using a high-resolution grid-based data set. The results show that as the urban highway network gets improved, transportation costs are more balanced across space. Therefore, the distribution of logistics facilities is less regionally constrained and more widely located in space. The spatial evolution of logistics facilities was driven not only by demand of land uses and industries but also by transport supply and urban structure. Land use planning including the planning of industrial parks is among the important driving forces affecting the spatial location of logistics facilities, although the effects vary across types of logistics facilities. This study aims to provide a sustainable development-oriented policy path for regional development by proposing an analytical framework that reconsiders spatial location choice factors as a means of controlling logistics environmental negative externalities.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:jotrge:v:100:y:2022:i:c:s0966692322000412
    DOI: 10.1016/j.jtrangeo.2022.103318
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    2. Jiping Xing & Qi Zhang & Qixiu Cheng & Zhenshan Zu, 2022. "A Geographical and Temporal Risk Evaluation Method for Red-Light Violations by Pedestrians at Signalized Intersections: Analysis and Results of Suzhou, China," IJERPH, MDPI, vol. 19(21), pages 1-19, November.
    3. Jose Alejandro Cano & Abraham Londoño-Pineda & Carolina Rodas, 2022. "Sustainable Logistics for E-Commerce: A Literature Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(19), pages 1-24, September.
    4. Zhao, Liyuan & Zhou, Cong & Liu, Kaili & Huang, Liyang & Li, Zhi-chun, 2024. "Comparison of the driving mechanism between logistics land use and facilities: A case study from Wuhan metropolitan area," Journal of Transport Geography, Elsevier, vol. 114(C).
    5. Pengcheng Lv & Xiaodong Li & Haoyu Zhang & Xiang Liu & Lingzhang Kong, 2022. "Research on the Spatial and Temporal Distribution of Logistics Enterprises in Xinjiang and the Influencing Factors Based on POI Data," Sustainability, MDPI, vol. 14(22), pages 1-22, November.
    6. Masilonyane Mokhele & Tholang Mokhele, 2023. "Characterization of Airfreight-Related Logistics Firms in the City of Cape Town, South Africa," Logistics, MDPI, vol. 7(3), pages 1-21, July.
    7. Soniya Falahatdoost & Xingping Wang, 2022. "Industrial Park Role as a Catalyst for Regional Development: Zooming on Middle East Countries," Land, MDPI, vol. 11(8), pages 1-18, August.

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