Poussin: Jenny

Current European frameworks focus almost exclusively on direct costs, often ignoring the indirect social and intangible impacts of hazards.

Approximately 63% of individuals act according to expected utility theory, but emotional "shocks" from suffering a loss are the primary catalysts for purchasing new insurance. Jenny Poussin

Since there isn't a widely known public figure or academic named "Jenny Poussin" associated with a specific "full paper," I’ve outlined a research paper based on the work of , a researcher specializing in flood risk management and environmental hazards. Statistical analysis using SPSS, GIS spatial modeling, and

Contrast between Expected Utility (E(U)) maximization and behavioral models of choice. III. Key Findings Statistical analysis using SPSS

Effective flood management requires a shift from purely technical infrastructure to a model that accounts for the "human element"—the emotional and behavioral triggers that lead to proactive mitigation.

Statistical analysis using SPSS, GIS spatial modeling, and Matlab for future risk projections.

This paper explores how households in flood-prone regions, specifically along the Meuse River, make decisions regarding risk mitigation. By analyzing survey data and statistical models, the study identifies that while economic incentives like flood insurance are vital, intangible factors—such as emotional response to past losses—significantly drive protective behavior. I. Introduction