Catastrophic weather-related events, such as flash floods, require efficient decisions to reduce people’s exposure while ensuring that each intervention is both timely and not counterproductive. 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 that can support and assess various strategies for flash flood crisis management. We investigate in particular 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 the crisis management. This approach helps limit ineffective decisions and select those that provide a trade-off between flood exposure and daily activities’ disruption.