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Volume 16, Issue 1 (Spring--In Press 2026)
Disaster Prev. Manag. Know. 2026, 16(1): 7-7 |
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Soroush S, Ghayoor Baghbani S M. Optimizing the Safe Evacuation of Individuals with Disabilities and Veterans in Religious Sites Using the Particle Swarm Optimization (PSO) Algorithm. Disaster Prev. Manag. Know. 2026; 16 (1) :7-7
URL: http://dpmk.ir/article-1-758-en.html
URL: http://dpmk.ir/article-1-758-en.html
1- Imam Reza International University, Mashhad, Iran
Abstract: (10 Views)
Effective emergency evacuation management in high-occupancy venues, particularly religious sites such as the Holy Shrine of Imam Reza, plays a pivotal role in mitigating human casualties during critical situations. This research leverages the Particle Swarm Optimization (PSO) algorithm – a computational method inspired by the collective behavior of bird flocks – to propose a novel framework for simulating the emergency evacuation process of pilgrims. The model design meticulously incorporates the specific needs of vulnerable groups, including individuals with disabilities and veterans, accounting for mobility and visual impairments, environmental obstacles, and exit signage. Simulation results indicate that the proposed algorithm is capable of simultaneously reducing evacuation time, enhancing individual safety, and preventing hazardous crowd densities. The effective contribution of auxiliary tools such as guiding lights in accelerating the evacuation process is also highlighted. A key strength of this framework lies in its focused consideration of the limitations faced by individuals with disabilities, including reduced speed and restricted visibility. Beyond offering practical solutions for improving safety, this model is generalizable to other high-traffic urban and religious locations and can serve as a supportive tool in architectural design, crisis management, and enhancing the resilience of public infrastructure. The findings of this study can assist urban planners, crisis managers, custodians of sacred religious sites, and authorities responsible for other high-traffic urban locations in developing safe, efficient, and inclusive environments.
Keywords: PSO Algorithm, Behavioral Simulation, Emergency Evacuation, Crisis Management, Religious Sites
Type of Study: Research |
Subject:
Special
Received: 2025/03/5 | Accepted: 2025/05/6 | ePublished: 2026/03/30
Received: 2025/03/5 | Accepted: 2025/05/6 | ePublished: 2026/03/30
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