In this paper, we investigate the determinants of private ood mitigation in France. We conducted a survey among 331 inhabitants of two ood-prone areas and collected data on several topics, including individual ood mitigation, risk perception, risk experience, and sociodemographic characteristics. We estimate discrete choice models to explain either the precautionary measures taken by the household, or the intention to undertake such measures in the future. Our results conrm that the Protection Motivation Theory is a relevant framework to describe the mechanisms of private ood mitigation in France, highlighting in particular the importance of threat appraisal and previous experience of oods. Some sociodemographic features also play a signicant role in explaining private ood mitigation. We also observed that respondents who had already taken precautionary measures have a lower perception of the risk of ooding than respondents who planned to implement such measures at the time of the survey. This result can be explained by the existence of a feedback eect of having taken precautionary measures on risk perception. If subsequent studies support this assumption, it would imply that intended measures, rather than implemented ones, should be examined to explore further the determinants of private ood mitigation.
This article analyzes the consequences for risk distribution of the French Flood Prevention Action Programme (PAPI). By redirecting floods from the most vulnerable to the least vulnerable areas, PAPIs expose farmers to greater flood risks. This has led local water management institutions to introduce compensation payments. The article outlines the results of an exhaustive survey of all PAPI programmes in France, which examined the way the compensation policies are set up locally. Results of the survey showed that the proposed policies may be financially non-viable. Several more viable risk-sharing solutions are then discussed, involving insurance schemes, state intervention and local institutions
Individual adaptation measures are an important tool for households to reduce the negative consequences of oods. Although people's motivations to adopt such measures are widely studied in the literature, the diusion of adaptations within a given population is less well described. In this paper, we build a dynamic agent based model which simulates the adoption of individual adaptation measures and enables evaluation of the eciency of dierent communication policies. We run our model using an original dataset, based on a survey in France. We test the importance of dierent parameters of our model by implementing a global sensitivity analysis. We then compare the ranking and performance of dierent communication policies under dierent model settings. We show that in all settings, targeted policies that deal with both risk and coping possibilities, perform best in supporting individual adaptation. Moreover, we show that dierent dynamic parameters are of particular importance, namely the delay between the motivation to act and the implementation of the measure and the time during which households stick to a given adaptation measure. Keywords:)ood riskD dpttionD gent sed modelD protetion motivtion theoryD soil networkD smllworldD risk ommunitionD)ood preventionD vulnerilityF
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