Keywords: Agent-based modeling, Crisis management, Flash flood, Decision timing
TL;DR: This paper presents a model for studying the impacts of implementing responses at different times during a flood to reduce human exposure.
Abstract: Catastrophic weather-related events, such as flash floods, require efficient decisions to reduce people’s exposure while avoiding unnecessary decisions. To provide efficient decisions, a crisis management cell composed of decision-makers and experts must be able to centralize information and make relevant choices. Our study proposes an agent-based model which can be used to assess various strategies for flood crisis management. Our study focuses on the application of several decisions taking into account both their interactions and the time of their implementation. We model people’s behaviors during their daily activities and their adaptation to flooding and to the authorities’ decisions with the GAMA platform. Preliminary results indicate that the time of decision implementation impacts people’s exposure to flooding and that combining specific decisions enhances the efficiency of crisis management. This approach helps limit ineffective decisions and select those that provide a trade-off between flood exposure and daily activities’ disruption.
Submission Number: 3
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