Data-driven modeling using system dynamics simulation to provide relief in earthquake based on different scenarios

Author:

Ahmadi Choukolaei Hassan,Jahangoshai Rezaee MustafaORCID,Ghasemi PeimanORCID

Publisher

Springer Science and Business Media LLC

Reference38 articles.

1. Agarwal S, Kant R, Shankar R (2021) Humanitarian supply chain management: modeling the pre and post-disaster relief operations. Int J Disaster Resilience Built Environ 13(4):421–439

2. Ahmadi SA, Mirlohi SM, Ahmadi MH, Ameri M (2021) Portfolio optimization of power plants by using renewable energy in Iran. Int J Low-Carbon Technol 16(2):463–475

3. Benmokhtar A, Benouar D, Rahmoune A (2020) Modeling the propagation of the effects of a disturbance in a critical infrastructure system to increase its resilience. Urban Arhitectura Constructii 11(2):157–178

4. Boroumand A, Nojavan M, Mohammaditabar D, Ghaemi R (2022) A fuzzy inference system for predicting relief goods demand in the different scenarios of occurrence earthquake. Int J Nonlinear Anal Appl 13(2):651–671

5. Choukolaei HA, Rezaee MJ, Yousefi S, Saberi M (2022) A simulation-based approach for decision-making in earthquake crisis management. In Multi-Criteria Decision Analysis. CRC Press, pp 281–302

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