Chapuis Kévin auteur aut IRD Pham M. D. auteur aut IRD Brugière A. auteur aut IRD Zucker Jean-Daniel auteur aut IRD Drogoul Alexis auteur aut IRD Tranouez P. auteur aut IRD Daudé E. auteur aut IRD Taillandier Patrick auteur aut IRD text journalArticle eng text/pdf born digital access At a time when the impacts of climate change and increasing urbanization are making risk management more complex, there is an urgent need for tools to better support risk managers. One approach increasingly used in crisis management is preventive mass evacuation. However, to implement and evaluate the effectiveness of such strategy can be complex, especially in large urban areas. Modeling approaches, and in particular agent-based models, are used to support implementation and to explore a large range of evacuation strategies, which is impossible through drills. One major limitation with simulation of traffic based on individual mobility models is their capacity to reproduce a context of mixed traffic. In this paper, we propose an agent-based model with the capacity to overcome this limitation. We simulated and compared different spatio-temporal evacuation strategies in the flood-prone landlocked area of the Phuc Xa district in Hanoi. We demonstrate that the interaction between distribution of transport modalities and evacuation strategies greatly impact evacuation outcomes. More precisely, we identified staged strategies based on the proximity to exit points that make it possible to reduce time spent on road and overall evacuation time. In addition, we simulated improved evacuation outcomes through selected modification of the road network. specialized Agent-based simulation evacuation policy risk context traffic model urban area VIET NAM HANOI 020 122 102 [Early access] [43 p.] 2022 1365-8816 https://www.documentation.ird.fr/hor/fdi:010085128 10.1080/13658816.2022.2069774 1365-8816 [F B010085128] https://www.documentation.ird.fr/hor/fdi:010085128 https://www.documentation.ird.fr/intranet/publi/2022-07/010085128.pdf Accès réservé (Intranet de l'IRD) IRD - Base Horizon / Pleins textes 2022-07-01 2025-02-24 fdi:010085128 fre