Post-Disaster Temporary Shelters Distribution after a Large-Scale Disaster: An Integrated Model

This paper develops an integrated model for the distribution of post-disaster temporary shelters after a large-scale disaster. The proposed clusters impacted areas using Adaptive Neuro-Fuzzy Inference System (ANFIS) method and then prioritizes points by affecting factors on route reliability permanent matrix. model’s objectives are to minimize maximum service time, maximize unmet demand. In case ground relief, possibility breakdown in vehicle is considered. Due disaster’s uncertain nature, demands considered form fuzzy numbers, equivalent crisp counterpart non-deterministic made Jimenez’s method. Since developed multi-objective, Non-dominated Sorting Genetic Algorithm (NSGA-II) Multi-Objective Firefly (MOFA) applied find efficient solutions. results confirm higher accuracy lower computational time MOFA. findings this study can contribute growing body knowledge about disaster management strategies have implications critical decision-makers involved response projects. Furthermore, provides valuable information national countries with limited experience disasters where destructive consequences built environment increasing.