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Evolution Model and Driving Mechanism of Urban Logistics Land: Evidence from the Yangtze River Delta

Author

Listed:
  • Jun Cao

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Yangfei Zhu

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Haohao Zhu

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Sidong Zhao

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Junxue Zhang

    (School of Architecture, Southeast University, Nanjing 210096, China
    School of Civil Engineering and Architecture, Jiangsu University of Science and Technology, Zhenjiang 212100, China)

Abstract

Logistics land is the spatial carrier for the development of logistics enterprises. Its evolution mode and driving mechanism determine the level of high-quality development of the logistics industry, and serve as an important basis for urban planning and territorial spatial planning. This study introduced a Boston consulting group (BCG) matrix and geographically weighted regression (GWR) spatial econometric models to carry out empirical research on the Yangtze River Delta (YRD), in an effort to provide scientific information for evidence-based decision-making by governments and enterprises. The scale and ratio of logistics land (LLS and LLR) in the YRD showed significant spatial heterogeneity and autocorrelation, cities with large logistics land use converging from clusters to belts from 2000 to 2020, and agglomerations with high logistics land ratio (LLR) migrating from inland to coastal areas. Diversified models of logistics land evolution also emerged, such as high scale–high speed cities, low scale–low speed cities, high scale–low speed cities, and low scale–high speed cities. In addition, the driving mechanism of LLS and LLR was very complex, with a great difference in the intensity, nature and spatial effects of the influence of different factors. The inspiration from empirical case studies is urgent to revise the planning norms and clarify the LLS and LLR control standards for logistics land use. Meanwhile, the synergistic development target of the logistics industry in the new era is changing from the manufacturing industry to the commerce and trade industry; the establishment of planning zoning and the designing of differentiated management policies significantly improve the planning applicability.

Suggested Citation

  • Jun Cao & Yangfei Zhu & Haohao Zhu & Sidong Zhao & Junxue Zhang, 2024. "Evolution Model and Driving Mechanism of Urban Logistics Land: Evidence from the Yangtze River Delta," Land, MDPI, vol. 13(5), pages 1-28, May.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:5:p:616-:d:1388024
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    References listed on IDEAS

    as
    1. Aljohani, Khalid & Thompson, Russell G., 2016. "Impacts of logistics sprawl on the urban environment and logistics: Taxonomy and review of literature," Journal of Transport Geography, Elsevier, vol. 57(C), pages 255-263.
    2. Nan Jing & Wenxue Cai, 2010. "Analysis on the spatial distribution of logistics industry in the developed East Coast Area in China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(2), pages 331-350, October.
    3. Xinbao Tian & Meirong Zhang, 2019. "Research on Spatial Correlations and Influencing Factors of Logistics Industry Development Level," Sustainability, MDPI, vol. 11(5), pages 1-18, March.
    4. Wagner, Tina, 2010. "Regional traffic impacts of logistics-related land use," Transport Policy, Elsevier, vol. 17(4), pages 224-229, August.
    5. Amirhossein Baghestani & Mohammadhossein Abbasi & Saeed Rastegar & Amir Reza Mamdoohi & Atoosa Afaghpoor & Mahmoud Saffarzadeh, 2023. "Logistics Village Location with Capacity Planning Problem, an MILP Model Approach," Sustainability, MDPI, vol. 15(5), pages 1-14, March.
    6. Woudsma, Clarence & Jensen, John F. & Kanaroglou, Pavlos & Maoh, Hanna, 2008. "Logistics land use and the city: A spatial-temporal modeling approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(2), pages 277-297, March.
    7. Weiwei Li & Ping Zhang & Kaixu Zhao & Hua Chen & Sidong Zhao, 2023. "The Evolution Model of and Factors Influencing Digital Villages: Evidence from Guangxi, China," Agriculture, MDPI, vol. 13(3), pages 1-26, March.
    8. Ping Zhang & Xiaojuan Yang & Hua Chen & Sidong Zhao, 2023. "Matching Relationship between Urban Service Industry Land Expansion and Economy Growth in China," Land, MDPI, vol. 12(6), pages 1-29, May.
    9. Fried, Travis & Goodchild, Anne, 2023. "E-commerce and logistics sprawl: A spatial exploration of last-mile logistics platforms," Journal of Transport Geography, Elsevier, vol. 112(C).
    10. van den Heuvel, Frank P. & de Langen, Peter W. & van Donselaar, Karel H. & Fransoo, Jan C., 2013. "Regional logistics land allocation policies: Stimulating spatial concentration of logistics firms," Transport Policy, Elsevier, vol. 30(C), pages 275-282.
    11. Haojun Wang & Xiao Su & Jun M. Liu, 2023. "The Spatial Spillover Effect of Logistics and Manufacturing Co-Agglomeration on Regional Economic Resilience: Evidence from China’s Provincial Panel Data," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
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