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基于社会网络分析模型的洪灾下中国城市社区功能丧失影响因素分析。

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

机构信息

College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China.

School of Management, Wuhan University of Technology, Wuhan 430070, China.

出版信息

Int J Environ Res Public Health. 2022 Sep 5;19(17):11094. doi: 10.3390/ijerph191711094.

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.

摘要

洪水发生的频率越来越高,对城市社区的影响也越来越大。为了确定中国城市社区在洪水下功能丧失的关键影响因素,本文使用社会网络分析方法,利用 2017-2021 年中国受洪水影响的 265 个城市社区案例作为研究数据,探讨了影响因素和因素组合。通过核心-边缘结构、节点中心度和因素配对等多项指标分析,全面识别了关键影响因素和因素组合。分析结果表明,“道路中断”、“房屋浸水”和“停电”是影响中国城市社区在洪水下功能丧失的三个最关键因素,其次是“居民被困”、“企业被淹没”和“淤泥堆积”。此外,“道路中断-房屋浸水”、“房屋浸水-居民被困”和“道路中断-居民被困”是最常见的影响因素组合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7943/9518170/d69b7172ebaf/ijerph-19-11094-g001.jpg

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