Analysis of social vulnerability of residential community to hazards in Tianjin, China

Yi Lixin (), Cheng Ke (), Cao Xiaoying (), Sun Yueling (), Cheng Xiaoqing () and He Ye ()
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Yi Lixin: Nankai University
Cheng Ke: Nankai University
Cao Xiaoying: Nankai University
Sun Yueling: Nankai University
Cheng Xiaoqing: Nankai University
He Ye: Guangdong Academy of Social Science

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2017, vol. 87, issue 2, No 32, 1223-1243

Abstract: Abstract The residential community is the basic unit of a city. The evaluation of community-based social vulnerability to hazards plays a vital role in improving urban disaster prevention and mitigation capabilities and enhances nationwide comprehensive disaster management. In this study, five social vulnerability indicators indexes (social network, community administration, community participation, community disaster prevention, and social support) are selected to build a community-based social vulnerability index (SoVI). Next, an Analytic Hierarchy Process-Technique for Order Preference by Similarity to Ideal Solution (AHP-TOPSIS) mathematical model is developed to access the community-based social vulnerability. Three typical residential communities in Tianjin are selected as study sites, and field investigations are conducted. The results indicate that relationships among residents, cooperation, and collective action are effective factors in all three communities and that each community has particular factors influencing its vulnerability characteristics. According to the results, a series of targeted advice and measures is proposed for each community, which could be helpful for policy makers and hazard managers.

Keywords: Urban residential community; Social vulnerability; SoVI; AHP-TOPSIS; Questionnaire survey (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s11069-017-2781-y

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