Simulation modeling of operation and coordination of agencies involved in post-disaster response and recovery

Shahab Valaei Sharif, Peyman Habibi Moshfegh and Hamed Kashani

Reliability Engineering and System Safety, 2023, vol. 235, issue C

Abstract: A disaster's response and recovery phases can be characterized by the breadth of activities, complex interrelationships of multiple involved agencies, and uncertain outcomes. Proper performance and collaboration of responsible agencies can mitigate disaster-induced losses. Past studies have not holistically investigated the role of responsible agencies’ operation and cooperation in post-disaster community recovery. This study proposes a hybrid framework that facilitates the probabilistic modeling of responsible agencies' post-disaster performance and coordination. An Agent-based Modeling (ABM) sub-model simulates the operations and interactions of responsible agencies. A System Dynamics (SD) sub-model characterizes multiple dynamical phenomena of interest: (1) provision of essentials to people, (2) infectious disease outbreak, and (3) crime outbreak and prevention. The proposed model simulates the progress of multiple Emergency Support Functions (ESFs) and evaluates their broader impact on the community. It is applied to a virtual community where several agencies must operate and collaborate to respond to an earthquake. Results underline the importance of inter-organization collaboration in the timely restoration of infrastructure systems and households. The proposed modeling framework can examine the effectiveness of various coordination schemes in disaster response and recovery, which can be used to develop plans to better respond to probable future disasters.

Keywords: Resilience; Disaster response; Disaster recovery; Simulation and modeling; Agent-based modeling; System dynamics (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:235:y:2023:i:c:s0951832023001345

DOI: 10.1016/j.ress.2023.109219

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