Study on safety evacuation simulation in a university teaching building integrating agent-based and fire dynamics models

To accurately analyze student evacuation patterns and fire spread dynamics in the event of a fire, this study developed a 1:1 building information model (BIM) of a university’s No. 2 teaching building. The Agent-based modeling approach was adopted to account for the complexity of individual evacuation behaviour, with particular attention to factors influencing evacuees’ self-perception. Three evacuation scenarios were simulated using Pathfinder: a partial first-floor evacuation (1/4 area), a full first-floor evacuation, and a whole-building evacuation. The results indicate that during evacuation, individuals tend to choose exits based on familiarity and reasonable proximity rather than strictly opting for the shortest path. Additionally, PyroSim was employed to simulate the spread of smoke and temperature changes within the building. Simulations revealed that smoke accumulation near Stairs1 significantly affects egress capacity; when Exit 1 becomes impassable at 76.5 s, the total evacuation time reaches 256.8 s, which is 23.03 s longer than that under fire-free conditions. This study provides a comprehensive BIM-based framework for simulating evacuation processes in university teaching buildings, offering a scientific basis for the design of targeted and effective fire safety strategies in public educational buildings. Practical application This study provides a critical tool for enhancing fire safety in educational buildings. By integrating occupant behaviour with realistic fire dynamics, our model delivers accurate evacuation predictions, overcoming the limitations of traditional methods. The findings directly benefit architects and safety engineers by enabling the design of more effective evacuation routes and safer building layouts. Furthermore, university administrators and safety officers can utilize this approach to develop data-driven emergency plans, optimise alarm systems, and conduct targeted drills. Ultimately, this research offers a practical framework for improving evacuation efficiency, informing safety regulations, and safeguarding lives in complex public structures like teaching buildings.

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Publication Details

Journal
Building Services Engineering Research and Technology
Published
2026-03-31
DOI
https://doi.org/10.1177/01436244261439535
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
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article

Study on safety evacuation simulation in a university teaching building integrating agent-based and fire dynamics models

Shi Xiaona, Sun Jiawei, Qi Jianwei, Gao Shan
Building Services Engineering Research and Technology
Evacuation and Crowd Dynamics
article

Study on safety evacuation simulation in a university teaching building integrating agent-based and fire dynamics models

Shi Xiaona, Sun Jiawei, Qi Jianwei, Gao Shan
article en

Abstract

To accurately analyze student evacuation patterns and fire spread dynamics in the event of a fire, this study developed a 1:1 building information model (BIM) of a university’s No. 2 teaching building. The Agent-based modeling approach was adopted to account for the complexity of individual evacuation behaviour, with particular attention to factors influencing evacuees’ self-perception. Three evacuation scenarios were simulated using Pathfinder: a partial first-floor evacuation (1/4 area), a full first-floor evacuation, and a whole-building evacuation. The results indicate that during evacuation, individuals tend to choose exits based on familiarity and reasonable proximity rather than strictly opting for the shortest path. Additionally, PyroSim was employed to simulate the spread of smoke and temperature changes within the building. Simulations revealed that smoke accumulation near Stairs1 significantly affects egress capacity; when Exit 1 becomes impassable at 76.5 s, the total evacuation time reaches 256.8 s, which is 23.03 s longer than that under fire-free conditions. This study provides a comprehensive BIM-based framework for simulating evacuation processes in university teaching buildings, offering a scientific basis for the design of targeted and effective fire safety strategies in public educational buildings. Practical application This study provides a critical tool for enhancing fire safety in educational buildings. By integrating occupant behaviour with realistic fire dynamics, our model delivers accurate evacuation predictions, overcoming the limitations of traditional methods. The findings directly benefit architects and safety engineers by enabling the design of more effective evacuation routes and safer building layouts. Furthermore, university administrators and safety officers can utilize this approach to develop data-driven emergency plans, optimise alarm systems, and conduct targeted drills. Ultimately, this research offers a practical framework for improving evacuation efficiency, informing safety regulations, and safeguarding lives in complex public structures like teaching buildings.

Building Services Engineering Research and Technology
Harbin Institute of Technology (CN), Nanjing Zhongyi Architectural Design Institute (China) (CN), Shanghai Xiandai Architectural Design (CN), Xijing University (CN)
Sustainable cities and communities
Openalex Percentile: Top 28%
Evacuation and Crowd Dynamics
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