IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i21p15574-d1273134.html
   My bibliography  Save this article

Research on the Spatial Pattern of the Logistics Industry Based on POI Data: A Case Study of Zhengzhou City

Author

Listed:
  • Xiuyan Zhao

    (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization Jointly Built by Henan Province, Ministry of Education, Henan University, Kaifeng 475001, China
    College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Changhong Miao

    (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization Jointly Built by Henan Province, Ministry of Education, Henan University, Kaifeng 475001, China
    College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

Abstract

How to optimize the spatial layout of the logistics industry is a challenge faced by every city under the rapid development of e-commerce nowadays. Enterprises and nodes as the core of logistics and their locational formation mechanisms are the key content of the study. Based on the API platform of Gaode Map, the POI data of Zhengzhou City with representative years during 2012–2021 were collected. Using the methods of industry concentration evaluation and nuclear density analysis, the spatial pattern changes of the logistics industry in Zhengzhou in recent years are demonstrated, the differences in location selection of the logistics industry are analyzed, and the analysis of its formation mechanism is made. The results of the study show that: (1) the logistics industry in Zhengzhou has developed rapidly in recent years, forming a “double core” spatial pattern of agglomeration near the four urban areas in the center of the metropolitan area and Xinzheng Airport, with a high degree of coordination in the agglomeration of industries and practitioners; and (2) the layout of logistics nodes is influenced by government planning, and logistics enterprises have strong autonomy in the layout. In the process of industrial agglomeration, the government guides the industry to gradually achieve agglomeration by laying out the transportation environment and providing low-rent land for industrial parks, while logistics enterprises provide services for different types of groups through segmenting specialized markets for different types of groups to provide services.

Suggested Citation

  • Xiuyan Zhao & Changhong Miao, 2023. "Research on the Spatial Pattern of the Logistics Industry Based on POI Data: A Case Study of Zhengzhou City," Sustainability, MDPI, vol. 15(21), pages 1-38, November.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15574-:d:1273134
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/21/15574/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/21/15574/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Verhetsel, Ann & Kessels, Roselinde & Goos, Peter & Zijlstra, Toon & Blomme, Nele & Cant, Jeroen, 2015. "Location of logistics companies: a stated preference study to disentangle the impact of accessibility," Journal of Transport Geography, Elsevier, vol. 42(C), pages 110-121.
    2. Giuliano, Genevieve & Kang, Sanggyun & Yuan, Quan, 2016. "Spatial Dynamics of the Logistics Industry and Implications for Freight Flows," Institute of Transportation Studies, Working Paper Series qt94h6t7s9, Institute of Transportation Studies, UC Davis.
    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. Xinxing Xu & Yuhong Wang, 2017. "Study on Spatial Spillover Effects of Logistics Industry Development for Economic Growth in the Yangtze River Delta City Cluster Based on Spatial Durbin Model," IJERPH, MDPI, vol. 14(12), pages 1-13, December.
    5. Jean Paul Rodrigue & Laetitia Dablanc & Genevieve Giuliano, 2017. "The Freight Landscape: Convergence and Divergence in Urban Freight Distribution," Post-Print hal-01519779, HAL.
    6. Sheffi, Yoss, 2012. "Logistics Clusters: Delivering Value and Driving Growth," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262018454, April.
    Full references (including those not matched with items on IDEAS)

    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. Li, Guoqi & Sun, Wenjie & Yuan, Quan & Liu, Sijing, 2020. "Planning versus the market: Logistics establishments and logistics parks in Chongqing, China," Journal of Transport Geography, Elsevier, vol. 82(C).
    2. Holl, Adelheid & Mariotti, Ilaria, 2018. "Highways and firm performance in the logistics industry," Journal of Transport Geography, Elsevier, vol. 72(C), pages 139-150.
    3. 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).
    4. Sijing Liu & Jiuping Xu & Xiaoyuan Shi & Guoqi Li & Dinglong Liu, 2018. "Sustainable Distribution Organization Based on the Supply–Demand Coordination in Large Chinese Cities," Sustainability, MDPI, vol. 10(9), pages 1-25, August.
    5. 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.
    6. Dalila Ribaudo, 2023. "Tracking the Van: The role of forward linkages in logistics MNEs' location choices across European NUTS 3 regions," Papers in Regional Science, Wiley Blackwell, vol. 102(2), pages 331-362, April.
    7. Nefs, Merten & van Haaren, Jeroen & van Oort, Frank, 2023. "The limited regional employment benefits of XXL-logistics centres in the Netherlands," Journal of Transport Geography, Elsevier, vol. 109(C).
    8. Ioannou, Petros, 2018. "Modeling for Local Impact Analysis," Institute of Transportation Studies, Working Paper Series qt7959p38n, Institute of Transportation Studies, UC Davis.
    9. Wu, Zhen & Woo, Su-Han & Lai, Po-Lin & Chen, Xiaoyi, 2022. "The economic impact of inland ports on regional development: Evidence from the Yangtze River region," Transport Policy, Elsevier, vol. 127(C), pages 80-91.
    10. Tsekeris, Theodore, 2016. "Interregional trade network analysis for road freight transport in Greece," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 85(C), pages 132-148.
    11. Yu Mao & Yonglin Li & Deyi Xu & Yaqi Wu & Jinhua Cheng, 2022. "Spatial-Temporal Evolution of Total Factor Productivity in Logistics Industry of the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    12. Gardrat, Mathieu, 2021. "Urban growth and freight transport: From sprawl to distension," Journal of Transport Geography, Elsevier, vol. 91(C).
    13. Jażdżewska Iwona & Żerek Karolina, 2024. "A spatial analysis of one of the regional logistics clusters in central Poland using GIS," Environmental & Socio-economic Studies, Sciendo, vol. 12(2), pages 48-61.
    14. Robichet, Antoine & Nierat, Patrick, 2021. "Consequences of logistics sprawl: Order or chaos? - the case of a parcel service company in Paris metropolitan area," Journal of Transport Geography, Elsevier, vol. 90(C).
    15. Premaratne Samaranayake & Upul Gunawardana & Michael Stokoe, 2023. "Kerbside Parking Assessment Using a Simulation Modelling Approach for Infrastructure Planning—A Metropolitan City Case Study," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    16. Adam, Arnaud & Finance, Olivier & Thomas, Isabelle, 2021. "Monitoring trucks to reveal Belgian geographical structures and dynamics: From GPS traces to spatial interactions," Journal of Transport Geography, Elsevier, vol. 91(C).
    17. Olga Porro & Francesc Pardo-Bosch & Núria Agell & Mónica Sánchez, 2020. "Understanding Location Decisions of Energy Multinational Enterprises within the European Smart Cities’ Context: An Integrated AHP and Extended Fuzzy Linguistic TOPSIS Method," Energies, MDPI, vol. 13(10), pages 1-29, May.
    18. David Jaffee, 2015. "‘A Deeper Channel Floats all Boats’: The Port Economy as Urban Growth Engine," Environment and Planning A, , vol. 47(4), pages 783-800, April.
    19. 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).
    20. Akhavan, Mina & Ghiara, Hilda & Mariotti, Ilaria & Sillig, Cécile, 2020. "Logistics global network connectivity and its determinants. A European City network analysis," Journal of Transport Geography, Elsevier, vol. 82(C).

    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:jsusta:v:15:y:2023:i:21:p:15574-:d:1273134. 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 (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.