A building information modeling-based fire emergency evacuation simulation system for large infrastructures

Zhikun Ding, Shengqu Xu, Xiaofeng Xie, Kairui Zheng, Daochu Wang, Jianhao Fan, Hong Li and Longhui Liao

Reliability Engineering and System Safety, 2024, vol. 244, issue C

Abstract: During fire emergencies, people in large infrastructures are difficult to comprehend real-time fire dynamics and identify available evacuation routes, leading to lengthy evacuation time and unnecessary loss of life and property. This study aims to develop a fire emergency evacuation simulation system for large infrastructures. This system integrates the data from building information modeling platform, fire dynamics simulator, and evacuation simulation platform through customized developments. Real-time fire situation is transmitted to the evacuation simulation platform to assess the impact of dynamic fire spread on the evacuation of people. The behavioral and psychological characteristics of evacuees of different genders and age groups are considered in simulated evacuations. An algorithm for optimizing evacuation route planning is designed to improve the utilization of each evacuation exit and provide a visualization of evacuation routes. This proposed system was validated at a busy subway station in China. The evacuation efficiency increased by 12.87%. It is concluded that this system can provide real-time dynamic optimal evacuation route planning for enhanced emergency management.

Keywords: Large infrastructure; Building information modeling; Fire emergency; Evacuation simulation; Optimization; Subway station (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:244:y:2024:i:c:s0951832023008311

DOI: 10.1016/j.ress.2023.109917

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