Evaluation and Influencing Factors of Network Resilience in Guangdong-Hong Kong-Macao Greater Bay Area: A Structural Perspective

Jialu Shi, Xuan Wang, Chengxin Wang, Haimeng Liu, Yi Miao and Fuyi Ci
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Jialu Shi: School of Economics, Shandong Normal University, Jinan 250358, China
Xuan Wang: College of Geography and Environment, Shandong Normal University, Jinan 250358, China
Chengxin Wang: College of Geography and Environment, Shandong Normal University, Jinan 250358, China
Haimeng Liu: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Yi Miao: College of Geography and Environment, Shandong Normal University, Jinan 250358, China
Fuyi Ci: School of Economics, Shandong Normal University, Jinan 250358, China

Sustainability, 2022, vol. 14, issue 13, 1-21

Abstract: Currently, urban crises are spreading, even tending to be magnified along the urban networks. Improving urban network resilience can effectively reduce the loss and cope with sudden disasters. Based on the dimensions of regional resilience and the framework of urban network, a new evaluation system of network resilience, including economic, social, and engineering networks, was established to assess the network resilience of the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) from a structural perspective. We analyzed the spatial characteristics and influencing factors of network resilience using social network analysis and quadratic assignment procedure. The results were as follows: (1) regional difference was biggest in GBA’s economic network strength while smallest in its transportation network strength, and the east bank of the Pearl River represented an extremely resilient connection axis; (2) the structures of network resilience and its subsystems were heterogeneous, and the connection paths of network resilience were more heterogeneous and diversified than those of the subsystems; (3) network resilience presented an obvious core–edge structure, and the spatial correlation and spillover effect between blocks were substantial; and (4) geographical proximity, as well as differences in economic development, urban agglomeration, and market development, had a significant impact on network resilience. This study provides a more systematic approach to evaluate the regional network resilience, and the results provide references for the construction of bay areas in developing countries.

Keywords: urban network resilience; regional resilience; urban network; influencing factor; Guangdong–Hong Kong–Macao Greater Bay Area (GBA) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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