Analysis of Influencing Factors of Urban Community Function Loss in China under Flood Disaster Based on Social Network Analysis Model

Lianlong Ma (), Dong Huang, Xinyu Jiang and Xiaozhou Huang ()
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Lianlong Ma: College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
Dong Huang: College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
Xinyu Jiang: School of Management, Wuhan University of Technology, Wuhan 430070, China
Xiaozhou Huang: School of Statistics and Mathematics, Hubei University of Economics, Wuhan 430205, China

IJERPH, 2022, vol. 19, issue 17, 1-14

Abstract: The increasing frequency of floods is causing an increasing impact on urban communities. To identify the key influencing factors of functional loss in Chinese urban communities under floods, this paper explored the influencing factors and factor combinations through a social network analysis approach using the 265 cases of urban communities in China affected by floods collected from 2017–2021 as research data. The key influencing factors and factor combinations were identified comprehensively using multiple indicator analyses such as core-periphery structure, node centrality, and factor pairing. The analysis results showed that “road disruption”, “housing inundation”, and “power interruption” are the three most critical factors affecting the functional loss of urban communities in China under floods, followed by “residents trapped”, “enterprises flooded”, and “silt accumulation”. In addition, “road disruption–housing inundation”, “housing inundation–residents trapped”, and “road disruption–residents trapped” are the most common combinations of influencing factors.

Keywords: flood disaster; social network analysis; urban community; functional loss; influencing factors (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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