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Spatial Pattern of Urban System Based on Gravity Model and Whole Network Analysis in Eight Urban Agglomerations of China

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  • Qipeng Sun
  • Sijie Wang
  • Kaiqi Zhang
  • Fei Ma
  • Xiaozhuang Guo
  • Tingzhen Li

Abstract

An urban agglomeration (shorted as UA) is a highly developed spatial form of integrated city and an important driving force for regional economic development. The network of UA mainly reflects the spatial connections and organizational structure of all cities, which is of great significance for understanding the development status of UAs and revealing their development laws. However, there are few horizontal studies comparing the network structure of China’s UAs. This study constructs the economic network of China’s eight UAs with the gravity model and explores the overall network structure and city centrality using indicators in network analysis. Then, two groups of UAs with similar network structures are compared. Finally, the association between the gravity model and empirical data is discussed. The results show that the spatial pattern of cities in UAs can be expressed by the gravity model approximately. Besides, UAs with different development levels present different spatial network structures, but the network structures cannot reflect the development levels of UAs directly. We also find that the cities with high betweenness centrality have greater development potential to be the next growth pole.

Suggested Citation

  • Qipeng Sun & Sijie Wang & Kaiqi Zhang & Fei Ma & Xiaozhuang Guo & Tingzhen Li, 2019. "Spatial Pattern of Urban System Based on Gravity Model and Whole Network Analysis in Eight Urban Agglomerations of China," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-17, August.
    • Handle: RePEc:hin:jnlmpe:6509726
    DOI: 10.1155/2019/6509726
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    Cited by:

    1. Yan Yu & Xinxin Gao & Wenqing Meng & Yujia He & Chenhe Zhang, 2022. "Industrial Structure Optimization of Wuhan Urban Agglomeration Based on TFP and Industrial Spatial Linkages," Land, MDPI, vol. 11(10), pages 1-13, September.
    2. 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).
    3. Bao Meng & Jifei Zhang & Xiaohui Zhang, 2023. "Detecting the Spatial Network Structure of the Guanzhong Plain Urban Agglomeration, China: A Multi-Dimensional Element Flow Perspective," Land, MDPI, vol. 12(3), pages 1-18, February.
    4. 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.
    5. Cui, Zhiwei & Fu, Xin & Wang, Jianwei & Qiang, Yongjie & Jiang, Ying & Long, Zhiyou, 2022. "How does COVID-19 pandemic impact cities' logistics performance? An evidence from China's highway freight transport," Transport Policy, Elsevier, vol. 120(C), pages 11-22.
    6. Jizhe Zhou & Yanhong Jiang & Shaolin Niu & Lan Li & Weijia Li & Yahui Zhang & Dongyang Liu, 2023. "Spatial Optimization of Rural Settlements in a Small Watershed Based on Social Network Analysis," Networks and Spatial Economics, Springer, vol. 23(3), pages 799-823, September.

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