Optimization of Post-disaster Recovery: Integration of Bayesian Network and Agent-based Simulation, M.Sc. Thesis Sharif University of Technology ; Mahsouli, Mojtaba (Supervisor)
Abstract
This thesis proposes a probabilistic framework for evaluating and enhancing the community recovery process following an earthquake occurrence. This framework serves as a recovery decision support tool, aiming to enhance community resilience through the optimal allocation of limited available resources following a disaster occurrence. To this end, Bayesian network and agent-based simulation are integrated, each of which forming one of the modules of the proposed framework. The first module, namely, the Bayesian network, leads to situational awareness of the status of the community after the earthquake by fusing data from various sources. The data, such as the earthquake event characteristics...
Cataloging briefOptimization of Post-disaster Recovery: Integration of Bayesian Network and Agent-based Simulation, M.Sc. Thesis Sharif University of Technology ; Mahsouli, Mojtaba (Supervisor)
Abstract
This thesis proposes a probabilistic framework for evaluating and enhancing the community recovery process following an earthquake occurrence. This framework serves as a recovery decision support tool, aiming to enhance community resilience through the optimal allocation of limited available resources following a disaster occurrence. To this end, Bayesian network and agent-based simulation are integrated, each of which forming one of the modules of the proposed framework. The first module, namely, the Bayesian network, leads to situational awareness of the status of the community after the earthquake by fusing data from various sources. The data, such as the earthquake event characteristics...
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