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Spatial Network Structures of Urban Agglomeration Based on the Improved Gravity Model: A Case Study in China’s Two Urban Agglomerations

Author

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  • Yubo Zhao
  • Gui Zhang
  • Hongwei Zhao
  • Anirban Chakraborti

Abstract

Research on urban agglomerations from the perspective of network spatial structure is important to promote their sustainable development. Based on online and traditional data, this paper first improves three aspects of the traditional spatial gravity model—city quality, the gravitation coefficient, and city distance—considering urban center functional intensity and population mobility tendencies. The resulting improved directional gravity model is applied to analyze the structure of the city network for two urban agglomerations in China, the Beijing-Tianjin-Hebei urban agglomeration (BTHUA) and the Yangtze River Delta urban agglomeration (YRDUA). The results of the study are as follows: (1) the existing urban connections have obvious hierarchies and imbalances, with the YRDUA urban hierarchical connections being of larger scale. (2) Cities are closely connected, but city networks are unbalanced, though the YRDUA has more balanced urban development. (3) Each node city has a clear radiation range limit, and spatial distance remains an important constraint on urban connections. The backbone network of the BTHUA has a triangular shape and trends toward a “sparse north and dense south,†while the YRDUA is characterized by multiple axes and an overall distribution that trends toward a “dense north and sparse south.†(4) Cities with poor comprehensive strength are more likely to be captured, forming an attract and be attracted relationship. (5) The BTHUA and the YRDUA each form three communities.

Suggested Citation

  • Yubo Zhao & Gui Zhang & Hongwei Zhao & Anirban Chakraborti, 2021. "Spatial Network Structures of Urban Agglomeration Based on the Improved Gravity Model: A Case Study in China’s Two Urban Agglomerations," Complexity, Hindawi, vol. 2021, pages 1-17, February.
  • Handle: RePEc:hin:complx:6651444
    DOI: 10.1155/2021/6651444
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    Cited by:

    1. Qingqing Ye & Jiwei Li & Xuesong Kong & Shaokai Zhang, 2021. "Identification and Optimization of the Spatial Structure of Urban and Rural Settlements from a Hierarchical Network Perspective," Land, MDPI, vol. 10(11), pages 1-21, November.
    2. Zu, Xiaoyi & Li, Zhixian & Gao, Chen & Wang, Yi, 2022. "Interpretation of Spatial-Temporal Patterns of Community Green Spaces Based on Service Efficiency and Distribution Characteristics: A Case Study of the Main Urban Area of Beijing, China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11(12), pages 1-23.
    3. Yang, Hu & Lv, Sirui & Guo, Bao & Dai, Jianjun & Wang, Pu, 2024. "Uncovering spatiotemporal human mobility patterns in urban agglomerations: A mobility field based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
    4. Batara Surya & Agus Salim & Hernita Hernita & Seri Suriani & Firman Menne & Emil Salim Rasyidi, 2021. "Land Use Change, Urban Agglomeration, and Urban Sprawl: A Sustainable Development Perspective of Makassar City, Indonesia," Land, MDPI, vol. 10(6), pages 1-31, May.
    5. Zhuoxi Yu & Shan Liu & Zhichuan Zhu & Lianyan Fu, 2023. "Spatial Imbalance, Dynamic Evolution and Convergence of the Digital Economy: Analysis Based on Panel Data of 278 Cities in China," Sustainability, MDPI, vol. 15(9), pages 1-26, April.
    6. Yameng Wang & Zhe Chen & Xiumei Wang & Mengyang Hou & Feng Wei, 2021. "Research on the Spatial Network Structure and Influencing Factors of the Allocation Efficiency of Agricultural Science and Technology Resources in China," Agriculture, MDPI, vol. 11(11), pages 1-23, November.
    7. Ma, Wen & Fang, Zhuoqiong & Zhang, Xiangfeng, 2023. "Comparative analysis of structural characteristics of China's 18 typical urban agglomerations based on flows of various elements," Ecological Modelling, Elsevier, vol. 479(C).
    8. Shengdong Nie & Hengkai Li, 2023. "Analysis of Construction Networks and Structural Characteristics of Pearl River Delta and Surrounding Cities Based on Multiple Connections," Sustainability, MDPI, vol. 15(14), pages 1-26, July.

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