文章基本信息

标题：The Perception of Flood Risks: A Case Study of Babessi in Rural Cameroon
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作者：Gertrud Buchenrieder ; Julian Brandl ; Azibo Roland Balgah 等
期刊名称：International Journal of Disaster Risk Science
印刷版ISSN：2095-0055
电子版ISSN：2192-6395
出版年度：2021
卷号：12
期号：4
页码：1-21
DOI：10.1007/s13753-021-00345-7
语种：English
出版社：Springer
摘要：AbstractAlthough risk perception of natural hazards has been identified as an important determinant for sound policy design, there is limited empirical research on it in developing countries. This article narrows the empirical literature gap. It draws from Babessi, a rural town in the Northwest Region of Cameroon. Babessi was hit by a severe flash flood in 2012. The cross-disciplinary lens applied here deciphers the complexity arising from flood hazards, often embedded in contexts characterized by poverty, a state that is constrained in disaster relief, and market-based solutions being absent. Primary data were collected via snowball sampling. Multinomial logistic regression analysis suggests that individuals with leadership functions, for example, heads of households, perceive flood risk higher, probably due to their role as household providers. We found that risk perception is linked to location, which in turn is associated with religious affiliation. Christians perceive floods riskier than Muslims because the former traditionally reside at the foot of hills and the latter uphill; rendering Muslims less exposed and eventually less affected by floods. Finally, public disaster relief appears to have built up trust and subsequently reduced risk perception, even if some victims remained skeptical of state disaster relief. This indicates strong potential benefits of public transfers for flood risk management in developing countries.
关键词：KeywordsenFlood disasterMultinomial logistic regressionRisk perceptionRural Cameroon