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Understanding risk perception from floods: a case study from China

Yi Ge (), Guangfei Yang (), Xiaotao Wang (), Wen Dou (), Xueer Lu () and Jie Mao ()
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Yi Ge: Nanjing Normal University
Guangfei Yang: Nanjing Normal University
Xiaotao Wang: Nanjing Normal University
Wen Dou: Southeast University
Xueer Lu: Nanjing Normal University
Jie Mao: Nanjing Normal University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2021, vol. 105, issue 3, No 34, 3119-3140

Abstract: Abstract Understanding and improving the public risk perception have become an important element in the management of flood risk. In China, the risk government is of so-called nationwide catastrophe response mode which is different from the widely adopted “bottom up” risk governance mode in the Western countries. Such a particular mode may make Chinese people perceive risk in a different way from people in other countries. Hence, a further discussion of risk perception is of great value in China. This paper presents a case study on the public perception of flood hazard and flood risk in a city prone to floods. The relationship between risk perception and exposure was examined by spatial analysis. Meanwhile, inferential testing with chi-squared tests was undertaken regarding experience, social trust, and protective behaviors. Our results suggest that (1) the relationship between exposure and risk perception of people in Nanjing is positive and statistically significant, (2) flood experience was strongly related to risk perception, (3) trust showed a significant relationship to risk perception, and (4) people who have perceived the probability of floods and associated loss of life have a higher willingness to take more protective measures. These findings will help local government to develop effective flood risk communication strategies for improving public awareness creation, emergency response and preparedness.

Keywords: Risk perception; Experience; Social trust; Protective behaviors; Chi-squared test (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s11069-020-04458-y

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