IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i5p616-d1388024.html

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/5/616/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/5/616/
    Download Restriction: no
    ---><---

    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. 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).
    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. Sakai, Takanori & Kawamura, Kazuya & Hyodo, Tetsuro, 2015. "Locational dynamics of logistics facilities: Evidence from Tokyo," Journal of Transport Geography, Elsevier, vol. 46(C), pages 10-19.
    5. Zhenying Wang, 2024. "Economic Growth Model," Contributions to Economics, in: Trading Economics, chapter 0, pages 471-505, Springer.
    6. Wagner, Tina, 2010. "Regional traffic impacts of logistics-related land use," Transport Policy, Elsevier, vol. 17(4), pages 224-229, August.
    7. 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.
    8. Weiwei Li & Lisheng Weng & Kaixu Zhao & Sidong Zhao & Ping Zhang, 2021. "Research on the Evaluation of Real Estate Inventory Management in China," Land, MDPI, vol. 10(12), pages 1-29, November.
    9. 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.
    10. 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.
    11. 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.
    12. 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).
    13. 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.
    14. 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.
    15. 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.
    16. 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).
    17. 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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Limao & Tang, Shiqiang & Su, Yiheng, 2026. "Building carbon emissions estimation in urban agglomerations considering regional dependence," Energy, Elsevier, vol. 344(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Meiling He & Jiaren Shen & Xiaohui Wu & Jianqiang Luo, 2018. "Logistics Space: A Literature Review from the Sustainability Perspective," Sustainability, MDPI, vol. 10(8), pages 1-24, August.
    2. 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).
    3. Tare, Apeksha & Nefs, Merten & Koomen, Eric & Verhoef, Erik, 2024. "Spatial drivers of logistics development in the Netherlands," Journal of Transport Geography, Elsevier, vol. 121(C).
    4. Carles Méndez-Ortega & Cristian Castillo Gutierrez & Eduard J. Alvarez-Palau, 2026. "Beyond the city core: spatial drivers of logistics facility location in the e-commerce era," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 75(2), pages 1-25, June.
    5. Rivera-Gonzalez, Carlos & Ahmed, Usman & Roorda, Matthew J., 2025. "The evolving landscape of urban logistics: A study of the Greater Golden Horseshoe," Journal of Transport Geography, Elsevier, vol. 122(C).
    6. Bowen Sun & Haomin Li & Qiuyun Zhao, 2018. "Logistics agglomeration and logistics productivity in the USA," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(2), pages 273-293, September.
    7. Cidell, Julie & Segal, Jason & Schroeder, Cayden, 2025. "The changing and complexifying geography of logistics activity in U.S. metropolitan areas," Journal of Transport Geography, Elsevier, vol. 129(C).
    8. Pinheiro, Carlos David Pedrosa & Gonzalez Feliu, Jesus & Bertoncini, Bruno Vieira, 2025. "A novel comprehensive spatial accessibility indicator to capture the latent nature of accessibility in logistic warehouses," Research in Transportation Economics, Elsevier, vol. 109(C).
    9. Oliveira, Leise Kelli de & Lopes, Gabriela Pereira & Oliveira, Renata Lúcia Magalhães de & Bracarense, Lílian dos Santos Fontes Pereira & Pitombo, Cira Souza, 2022. "An investigation of contributing factors for warehouse location and the relationship between local attributes and explanatory variables of Warehouse Freight Trip Generation Model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 206-219.
    10. Sakai, Takanori & Kawamura, Kazuya & Hyodo, Tetsuro, 2017. "Spatial reorganization of urban logistics system and its impacts: Case of Tokyo," Journal of Transport Geography, Elsevier, vol. 60(C), pages 110-118.
    11. Oliveira, Renata Lúcia Magalhães de & Dablanc, Laetitia & Schorung, Matthieu, 2022. "Changes in warehouse spatial patterns and rental prices: Are they related? Exploring the case of US metropolitan areas," Journal of Transport Geography, Elsevier, vol. 104(C).
    12. Pinheiro, Carlos David Pedrosa & Gonzalez Feliu, Jesus & Bertoncini, Bruno Vieira, 2025. "Addressing spatial heterogeneity and MAUP in urban transport geography: A multi-scale analysis of accessibility and warehouse location," Journal of Transport Geography, Elsevier, vol. 123(C).
    13. 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).
    14. Adelheid Holl & Ilaria Mariotti, 2018. "The Geography of Logistics Firm Location: The Role of Accessibility," Networks and Spatial Economics, Springer, vol. 18(2), pages 337-361, June.
    15. Sakai, Takanori & Beziat, Adrien & Heitz, Adeline, 2020. "Location factors for logistics facilities: Location choice modeling considering activity categories," Journal of Transport Geography, Elsevier, vol. 85(C).
    16. Kang, Sanggyun, 2020. "Warehouse location choice: A case study in Los Angeles, CA," Journal of Transport Geography, Elsevier, vol. 88(C).
    17. Klauenberg, Jens & Elsner, Lucas-Andrés & Knischewski, Christian, 2020. "Dynamics of the spatial distribution of hubs in groupage networks – The case of Berlin," Journal of Transport Geography, Elsevier, vol. 88(C).
    18. David Guerrero & Jean Paul Hubert & Martin Koning & Nicolas Roelandt, 2022. "On the Spatial Scope of Warehouse Activity: An Exploratory Study in France," Post-Print hal-03551270, HAL.
    19. Song, Yang & Yeung, Godfrey & Zhu, Daolin & Zhang, Lixin & Xu, Yang & Zhang, Lanyue, 2020. "Efficiency of logistics land use: The case of Yangtze River Economic Belt in China, 2000–2017," Journal of Transport Geography, Elsevier, vol. 88(C).
    20. Sakai, Takanori & Kawamura, Kazuya & Hyodo, Tetsuro, 2019. "Evaluation of the spatial pattern of logistics facilities using urban logistics land-use and traffic simulator," Journal of Transport Geography, Elsevier, vol. 74(C), pages 145-160.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:13:y:2024:i:5:p:616-:d:1388024. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.