IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i9p7346-d1135501.html
   My bibliography  Save this article

Spatial Differentiation of Multi-Airport Logistics in Four Urban Agglomerations in China

Author

Listed:
  • Danyang Shen

    (School of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China)

  • Xiudi Li

    (School of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China)

  • Haoran Zhao

    (School of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China)

Abstract

A Multi-airport Logistics System (MLS) involves the logistics development of multiple airports in an urban agglomeration. Calculating spatial differentiation in MLS and examining its characteristics have theoretical and practical value. Based on MLS, we established an index system and applied the entropy-criteria importance through the intercriteria correlation weighting method to data from 2019 to evaluate the development and spatial differentiation of multi-airport logistics in four Chinese urban agglomerations in three dimensions: logistics resources, service chains, and market demand. The results showed the following: (1) The Guangdong–Hong Kong–Macao Greater Bay Area showed logistics resource-type development. (2) Given its considerable market demand and service support, the Yangtze River Delta ranked first in the service-chain aspect. (3) The market-demand performance of the Chengdu–Chongqing Double Cities Economic Circle was poor. (4) Beijing–Tianjin–Hebei showed mediocre performance in all three aspects. Based on the findings, we make suggestions for MLS development in urban agglomerations for the purpose of achieving high-quality development and supporting China’s overall national transportation network.

Suggested Citation

  • Danyang Shen & Xiudi Li & Haoran Zhao, 2023. "Spatial Differentiation of Multi-Airport Logistics in Four Urban Agglomerations in China," Sustainability, MDPI, vol. 15(9), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7346-:d:1135501
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/9/7346/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/9/7346/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Land use efficiency and influencing factors of urban agglomerations in China," Land Use Policy, Elsevier, vol. 88(C).
    2. Yanxian Li & Jiawen Wang & Dan Xian & Yan Zhang & Xiangyi Yu, 2021. "Regional consumption, material flows, and their driving forces: A case study of China's Beijing–Tianjin–Hebei (Jing–Jin–Ji) urban agglomeration," Journal of Industrial Ecology, Yale University, vol. 25(3), pages 751-764, June.
    3. Fuellhart, Kurt & O’Connor, Kevin & Woltemade, Christopher, 2013. "Route-level passenger variation within three multi-airport regions in the USA," Journal of Transport Geography, Elsevier, vol. 31(C), pages 171-180.
    4. Juan Yin & Zhong Yang & Jin Guo, 2022. "Externalities of Urban Agglomerations: An Empirical Study of the Chinese Case," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    5. Cheung, Tommy King-Yin & Wong, Wai-hung & Zhang, Anming & Wu, Yangming, 2020. "Spatial panel model for examining airport relationships within multi-airport regions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 148-163.
    6. Tanrıverdi, Gökhan & Lezki, Şenay, 2021. "Istanbul Airport (IGA) and quest of best competitive strategy for air cargo carriers in new competition environment: A fuzzy multi-criteria approach," Journal of Air Transport Management, Elsevier, vol. 95(C).
    7. Wang Liao & Xiaoshu Cao & Shengchao Li, 2019. "Competition and Sustainability Development of a Multi-Airport Region: A Case Study of the Guangdong–Hong Kong–Macao Greater Bay Area," Sustainability, MDPI, vol. 11(10), pages 1-21, May.
    8. Pal Singh, Satender & Adhikari, Arnab & Majumdar, Adrija & Bisi, Arnab, 2022. "Does service quality influence operational and financial performance of third party logistics service providers? A mixed multi criteria decision making -text mining-based investigation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    9. Li, Hongchang & Li, Junru & Zhao, Xiaojun & Kuang, Xujuan, 2022. "The morphological structure and influence factors analysis of China's domestic civil aviation freight transport network," Transport Policy, Elsevier, vol. 125(C), pages 207-217.
    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. Bing Zhao & Hao Wu, 2022. "A System Dynamics Model of Multi-Airport Logistics System under the Impact of COVID-19: A Case of Jing-Jin-Ji Multi-Airport System in China," Sustainability, MDPI, vol. 14(19), pages 1-19, October.
    2. Zhang, Pengyan & Yang, Dan & Qin, Mingzhou & Jing, Wenlong, 2020. "Spatial heterogeneity analysis and driving forces exploring of built-up land development intensity in Chinese prefecture-level cities and implications for future Urban Land intensive use," Land Use Policy, Elsevier, vol. 99(C).
    3. Zhipeng Gao & Zhenyu Wang & Mi Zhou, 2023. "Is China’s Urbanization Inclusive?—Comparative Research Based on Machine Learning Algorithms," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    4. Lisha Pan & Hangang Hu & Xin Jing & Yang Chen & Guan Li & Zhongguo Xu & Yuefei Zhuo & Xueqi Wang, 2022. "The Impacts of Regional Cooperation on Urban Land-Use Efficiency: Evidence from the Yangtze River Delta, China," Land, MDPI, vol. 11(6), pages 1-16, June.
    5. Yedong Chen & Jiang Chang & Zixuan Li & Li Ming & Cankun Li & Cheng Li, 2023. "Coupling Coordination and Spatiotemporal Analysis of Urban Compactness and Land-Use Efficiency in Resource-Based Areas: A Case Study of Shanxi Province, China," Land, MDPI, vol. 12(9), pages 1-23, August.
    6. Xinhai Lu & Zhenxing Shi & Jia Li & Junhao Dong & Mingjie Song & Jiao Hou, 2022. "Research on the Impact of Factor Flow on Urban Land Use Efficiency from the Perspective of Urbanization," Land, MDPI, vol. 11(3), pages 1-17, March.
    7. Hao Su & Shuo Yang, 2022. "Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China," IJERPH, MDPI, vol. 19(19), pages 1-28, October.
    8. Wen, Tianzuo & Qiang, Wei & Liu, Xingjian, 2022. "Exploring the geography of urban comprehensive development in mainland Chinese cities," Land Use Policy, Elsevier, vol. 115(C).
    9. Edmund Y. Wu & Danny C. K. Ho & Stephen C. H. Ng & Lawrence C. Leung, 2023. "Uniqueness, complexities, and research issues of logistics and trade facilitation in Greater Bay Area of China," Journal of Shipping and Trade, Springer, vol. 8(1), pages 1-22, December.
    10. Gudmundsson, Sveinn & Paleari, Stefano & Redondi, Renato, 2014. "Spillover effects of the development constraints in London Heathrow Airport," Journal of Transport Geography, Elsevier, vol. 35(C), pages 64-74.
    11. Jinfeng Ma & Weifeng Li & Zhao Wang & Liang He & Lijian Han, 2022. "Measuring Multi-Faceted Land Use Efficiency of Large-Scale Urban Agglomerations under Multi-Scale Drivers: Evidence from China," Land, MDPI, vol. 11(1), pages 1-15, January.
    12. Mengchao Yao & Yihua Zhang, 2021. "Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    13. Xuanming Ji & Kun Wang & Tao Ji & Yihua Zhang & Kun Wang, 2020. "Coupling Analysis of Urban Land Use Benefits: A Case Study of Xiamen City," Land, MDPI, vol. 9(5), pages 1-20, May.
    14. Shen, Liyin & Cheng, Guangyu & Du, Xiaoyun & Meng, Conghui & Ren, Yitian & Wang, Jinhuan, 2022. "Can urban agglomeration bring “1 + 1 > 2Effect”? A perspective of land resource carrying capacity," Land Use Policy, Elsevier, vol. 117(C).
    15. Zhongqi Xie & Ying Zhang & Zhiqiang Fang, 2022. "High-Quality Development Evaluation and Spatial Evolution Analysis of Urban Agglomerations in the Middle Reaches of the Yangtze River," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    16. Rongtian Zhang & Jianfei Lu, 2022. "Spatial–Temporal Pattern and Convergence Characteristics of Provincial Urban Land Use Efficiency under Environmental Constraints in China," IJERPH, MDPI, vol. 19(17), pages 1-15, August.
    17. Zhongming Li & Wei Fu & Mingcan Luo & Jiancheng Chen, 2022. "The Coupling Coordination between the Competitiveness Level and Land Use Efficiency of Green Food Industry in China," Land, MDPI, vol. 11(12), pages 1-22, November.
    18. Liu Yang & Bingyang Han & Zhili Ma & Ting Wang & Yingchao Lin, 2022. "Analysis of the Urban Land Use Efficiency in the New-Type Urbanization Process of China’s Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(13), pages 1-22, July.
    19. Yingkai Tang & Kun Wang & Xuanming Ji & He Xu & Yangqing Xiao, 2021. "Assessment and Spatial-Temporal Evolution Analysis of Urban Land Use Efficiency under Green Development Orientation: Case of the Yangtze River Delta Urban Agglomerations," Land, MDPI, vol. 10(7), pages 1-19, July.
    20. Miao, Nana & Sharif, Arshian & Ozturk, Ilhan & Razzaq, Asif, 2023. "How do the exploitation of natural resources and fiscal policy affect green growth? Moderating role of ecological governance in G7 countries," Resources Policy, Elsevier, vol. 85(PA).

    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:9:p:7346-:d:1135501. 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.