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Freight Data-Driven Research on Evaluation Indexes for Urban Agglomeration Development Degree

Author

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  • Qiufang Shi

    (Institute of Transportation System Science and Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Xiaoyong Yan

    (Institute of Transportation System Science and Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Bin Jia

    (Institute of Transportation System Science and Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Ziyou Gao

    (Institute of Transportation System Science and Engineering, Beijing Jiaotong University, Beijing 100044, China
    Key Laboratory of Integrated Transport Big Data Application Technology for Transport Industry, Beijing Jiaotong University, Beijing 100044, China)

Abstract

A reasonable comprehensive evaluation of the degree of urban agglomeration development is of great significance for its sustainable development. Although there are some studies on the evaluation of urban agglomeration development degree from the overall development level, only a few studies consider internal development equilibrium and internal interaction intensity. This work uses freight trip data as the main empirical data to establish three alternative evaluation indexes named the overall freight intensity, the internal freight intensity equilibrium level, and the internal freight interaction relative intensity to reflect the urban agglomeration’s overall development level, internal equilibrium level, and internal interaction level, respectively. Then, this work weights the above three alternative indexes to comprehensively evaluate the comprehensive development degree of 14 Chinese urban agglomerations. Finally, this work classifies these urban agglomerations into three stages according to the comprehensive evaluation values. The research results could help us to reasonably evaluate the degree of comprehensive development of urban agglomeration.

Suggested Citation

  • Qiufang Shi & Xiaoyong Yan & Bin Jia & Ziyou Gao, 2020. "Freight Data-Driven Research on Evaluation Indexes for Urban Agglomeration Development Degree," Sustainability, MDPI, vol. 12(11), pages 1-16, June.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:11:p:4589-:d:367304
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    References listed on IDEAS

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    Cited by:

    1. Yang, Yitao & Jia, Bin & Yan, Xiao-Yong & Li, Jiangtao & Yang, Zhenzhen & Gao, Ziyou, 2022. "Identifying intercity freight trip ends of heavy trucks from GPS data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    2. Shuoqi Wang & Zhanzhong Wang, 2023. "Collaborative Development and Transportation Volume Regulation Strategy for an Urban Agglomeration," Sustainability, MDPI, vol. 15(20), pages 1-23, October.

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