Citation

Ma L, Huang D, Jiang X, Huang X. Int. J. Environ. Res. Public Health 2022; 19(17): e11094.

Copyright

(Copyright © 2022, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/ijerph191711094

PMID

36078809

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.

Language: en

Keywords

social network analysis; flood disaster; functional loss; influencing factors; urban community