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Study on the Evolution of Multiple Network Resilience of Urban Agglomerations in the Yellow River Basin

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  • Huifang Liu

    (School of Business, University of Jinan, Jinan 250022, China)

  • Xiaoyi Shi

    (School of Business, University of Jinan, Jinan 250022, China)

  • Pengwei Yuan

    (School of Business, University of Jinan, Jinan 250022, China)

  • Xiaoqing Dong

    (School of Business, University of Jinan, Jinan 250022, China)

Abstract

To promote the healthy development of urban agglomerations in the Yellow River Basin, we construct a multi-city network-resilience evolution model based on social network theory, combined with QAP regression analysis and analyze the evolution of multiple-city network resilience in the Yellow River Basin in 2014 and 2021 by screening and drawing on indicators in social networks. The results show that (i) only the financial linkage network and the information exchange network are resilient networks, and the magnitude of the evolution of resilience level in the Yellow River basin is finance > information > innovation > transportation. (ii) Except for the increase in the hierarchy of transportation networks, other networks show the trend of flattening. (iii) The matching of the information exchange network shows a shift between heterogeneity and homogeneity, and the transmission and aggregation of the network fluctuate. Based on the study’s findings, a path to improve the resilience level of the Yellow River Basin urban agglomeration by consolidating the status of core cities, optimizing the structure of multiple city networks, and optimizing the flow of factors is proposed.

Suggested Citation

  • Huifang Liu & Xiaoyi Shi & Pengwei Yuan & Xiaoqing Dong, 2022. "Study on the Evolution of Multiple Network Resilience of Urban Agglomerations in the Yellow River Basin," Sustainability, MDPI, vol. 14(18), pages 1-24, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11174-:d:908474
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    Cited by:

    1. Xiaoyi Shi & Xiaoxia Huang & Huifang Liu, 2022. "Research on the Structural Features and Influence Mechanism of the Low-Carbon Technology Cooperation Network Based on Temporal Exponential Random Graph Model," Sustainability, MDPI, vol. 14(19), pages 1-24, September.
    2. 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.

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