An optimization model for evacuating people with disability in extreme disaster conditions: A case study

Document Type : Article


1 Department of Industrial Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran

2 Centre for Disability Research and Policy, University of Sydney, Australia

3 School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran


The increasing severity and frequency of disasters have posed major challenges for people. Amongst, the risks of fatalities and injuries of people with disabilities (PWDs) have significantly increased. The Sendai Framework for Disaster Risk Reduction (SFDRR) initiated a movement to create a "disability-accessible and inclusive environment" which highlighted the problems PWDs faced during disasters. One of the most important issues is providing evacuation and accommodation according to the special needs of PWDs. In this study, a MILP model is proposed to pick up PWDs from different locations and transfer them to shelters. Throughout this research, diverse disabilities, heterogonous vehicles, compatibility types of disabilities and vehicles, multi-depot and adept and amateur operators were considered to help evacuate PWDs. Additionally, 27 problems are solved to examine the efficacy of (μ+1) EA algorithm in large scale problems. Subsequently, a real case study with 500 nodes including pick up, shelters, and depot nodes are analyzed. The computational results illustrate that by adding small-sized (car) and medium-sized (Van) vehicles to the current fleet, the time for tours traveled significantly reduces. Finally, a sensitivity analysis has been conducted to prepare some managerial implications for crisis managers during the occurrence of disasters to help PWDs during evacuation.


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