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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
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    References listed on IDEAS

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    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.
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