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Research on Urban Spatial Connection and Network Structure of Urban Agglomeration in Yangtze River Delta—Based on the Perspective of Information Flow

Author

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  • Qiaowen Lin

    (Department of Economics, School of Economics and Management, China University of Geosciences, Wuhan 430079, China)

  • Mengyu Xiang

    (Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

  • Lu Zhang

    (School of Public Administration, Central China Normal University, Wuhan 430079, China)

  • Jinjiang Yao

    (Science and Technology Innovation and Public Management Research Center of Shanghai, Fudan University, Shanghai 200433, China)

  • Chao Wei

    (Department of Land Administration, School of Public Administration, Hubei University, Wuhan 430062, China)

  • Sheng Ye

    (Department of Land Administration, School of Public Administration, China University of Geosciences, Wuhan 430079, China)

  • Hongmei Shao

    (Department of Economics, School of Economics and Management, China University of Geosciences, Wuhan 430079, China)

Abstract

Exploration of urban spatial connections and network structures of urban agglomeration in the Yangtze River Delta, as well as its influencing factors, is of great significance regarding optimization of the development pattern of the Yangtze River Delta urban agglomeration and promotion of regional high-quality development. Therefore, based on Baidu index data in 2015 and 2019, this paper first analyzes the spatiotemporal variation characteristics of information-flow connections in the Yangtze River Delta urban agglomeration. Then it uses social network analysis to explore the information-flow network structure in the Yangtze River Delta urban agglomeration, and finally explores the influencing factors of information-flow intensity in the Yangtze River Delta urban agglomeration. The main conclusions are as follows: (1) The total amount of information flow in the Yangtze River Delta urban agglomeration has had no obvious change, and the coverage of information flow in the central urban circle has expanded. (2) The network hierarchy presents a relatively stable “pyramid” distribution pattern, which tends to develop into a “spindle” pattern. (3) The overall network density of the Yangtze River Delta urban agglomeration is high and is increasing. The backbone network is a “triangle” structure. The central cities in the region are stable, and the subgroups are adjacent to each other geographically. (4) Gross Domestic Product, resident population of the region and the number of Internet broadband subscribers all have important effects on the total information flow, among which the number of Internet broadband subscribers has the greatest effect on the total information flow. In addition, urban functions and their positioning, urban events, history and culture, and other factors that are difficult to quantify also have a certain impact on the information-flow network among cities.

Suggested Citation

  • Qiaowen Lin & Mengyu Xiang & Lu Zhang & Jinjiang Yao & Chao Wei & Sheng Ye & Hongmei Shao, 2021. "Research on Urban Spatial Connection and Network Structure of Urban Agglomeration in Yangtze River Delta—Based on the Perspective of Information Flow," IJERPH, MDPI, vol. 18(19), pages 1-20, September.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:19:p:10288-:d:646697
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    References listed on IDEAS

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    1. Erin McElroy, 2019. "Samuel Stein 2019: Capital City: Gentrification and the Real Estate State. London: Verso," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 43(5), pages 1001-1003, September.
    2. Federico Camerin & Nicola Camatti & Francesco Gastaldi, 2021. "Military Barracks as Cultural Heritage in Italy: A Comparison between before-1900- and 1900-to-1950-Built Barracks," Sustainability, MDPI, vol. 13(2), pages 1-31, January.
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    Cited by:

    1. You He & Alex de Sherbinin & Guoqing Shi & Haibin Xia, 2022. "The Economic Spatial Structure Evolution of Urban Agglomeration under the Impact of High-Speed Rail Construction: Is There a Difference between Developed and Developing Regions?," Land, MDPI, vol. 11(9), pages 1-17, 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. Rui Ding & Jun Fu & Yiling Zhang & Ting Zhang & Jian Yin & Yiming Du & Tao Zhou & Linyu Du, 2022. "Research on the Evolution of the Economic Spatial Pattern of Urban Agglomeration and Its Influencing Factors, Evidence from the Chengdu-Chongqing Urban Agglomeration of China," Sustainability, MDPI, vol. 14(17), pages 1-19, September.
    4. Bowen Xiang & Rushuang Chen & Gaofeng Xu, 2022. "Uncovering Network Heterogeneity of China’s Three Major Urban Agglomerations from Hybrid Space Perspective-Based on TikTok Check-In Records," Land, MDPI, vol. 12(1), pages 1-21, December.
    5. 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.
    6. Jiawei Wu & Wei Sun, 2023. "Regional Integration and Sustainable Development in the Yangtze River Delta, China: Towards a Conceptual Framework and Research Agenda," Land, MDPI, vol. 12(2), pages 1-20, February.
    7. Jing Wang & Yaping Zhang & Guofu Yang & Yinyi Wang & Xiaomeng Cheng & Bin Xu, 2023. "Spatial Reconstruction of Traditional Villages towards Synergistic Development in the Fuchun River Basin Based on the Gravity Model," Land, MDPI, vol. 12(5), pages 1-24, May.
    8. Sujuan Li & Xiaohui Zhang & Xueling Wu & Erbin Xu, 2022. "Exploration of Urban Network Spatial Structure Based on Traffic Flow, Migration Flow and Information Flow: A Case Study of Shanxi Province, China," Sustainability, MDPI, vol. 14(23), pages 1-18, December.
    9. Sijia Lin & Chun Li & Yanbo Li & Liding Chen, 2024. "Exploring Integrative Development of Urban Agglomeration from the Perspective of Urban Symbiosis and Production–Living–Ecological Function," Land, MDPI, vol. 13(2), pages 1-23, February.

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