Behavioral Research on Fire Evacuation and Decision-Making Processes

A special issue of Fire (ISSN 2571-6255). This special issue belongs to the section "Fire Risk Assessment and Safety Management in Buildings and Urban Spaces".

Deadline for manuscript submissions: 31 August 2026 | Viewed by 912

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Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong
Interests: fire safety engineering; evacuation; building and construction; urban planning
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Special Issue Information

Dear Colleagues,

It is nearly impossible to avoid having fire accidents, and occupants evacuating from hazardous areas should be considered as a mitigation measure. Evacuation often involves delays, hesitation, and unpredictable actions like returning back to retrieve belongings or to help others. These behavioral reactions relating to fire evacuation may be considered as individual actions or group reactions, including decision-making, movement patterns, risk perception, and social interactions. Some studies have revealed the pre-evacuation behavioral decision time may be much longer than the time taken for traveling to the place of safety. It implies that the pre-evacuation decision-making process may influence the success or failure of evacuations. By studying these behaviors, researchers and engineers may establish more effective safety protocols that save lives and minimize injuries. Moreover, research findings may provide “behavioral facts” to refine computer simulation models, making simulations more accurate and predictive. Carefully studying the pre-evacuation decision-making process, which involves recognition, validation, definition, and evaluation stages, may provide insights influencing the design of warning system, public announcement, facility management, and planning of evacuation strategies. During evacuation, helping evacuees to efficiently find their way out of the hazardous place is also important. Wayfinding heavily relates to the behavioral reactions of evacuees during evacuations, interacting with psychological factors like stress and social influence. Previous studies have indicated that well-designed signages not only accelerates route selection but also alleviates anxiety. We also need to explore ways to help disabled people evacuate safely from buildings by considering their movement and behaviour. We encourage authors to submit papers that thoroughly investigate the above-mentioned issues.

Prof. Dr. Siu Ming Lo
Guest Editor

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Keywords

  • fire evacuation modeling
  • fire safety engineering
  • fire risk analysis
  • decision support system
  • human behavior in fire
  • large-scale evacuation modeling and disaster prevention
  • rail tunnel evacuation
  • fire detection
  • fire alarm system

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Published Papers (1 paper)

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Research

21 pages, 4711 KB  
Article
An Integrated Model for Dam Evacuation Under Explosion-Induced Damage: Coupling Physical Damage and Crowd Behavior
by Hongpeng Qiu, Eric Wai Ming Lee, Lingling Hu and Xiangping Xian
Fire 2026, 9(6), 259; https://doi.org/10.3390/fire9060259 - 16 Jun 2026
Viewed by 539
Abstract
This study develops an integrated computational framework to assess the passage efficiency of a dam crest serving as a critical inter-regional corridor following a severe explosion event. The framework combines a physics-based damage model with an agent-based cellular automata (CA) approach that incorporates [...] Read more.
This study develops an integrated computational framework to assess the passage efficiency of a dam crest serving as a critical inter-regional corridor following a severe explosion event. The framework combines a physics-based damage model with an agent-based cellular automata (CA) approach that incorporates pedestrian behavioral heterogeneity. The damage model conceptualizes three concentric zones: a complete fragmentation zone (0–1.5 m) with total material disintegration, a primary damage zone (1.5–5 m) following an exponential decay in structural integrity, and a secondary damage zone (5–20 m) governed by a power-law attenuation of fragmentation effects. Pedestrian behavior is parameterized by the Allowable Conflict Coefficient (ACC), the inverse of interpersonal friction, and the Emergency Level (EL), which scales the desired velocity. Extensive simulations under stochastic and targeted impact scenarios reveal a consistent evacuation performance hierarchy: Center (C) > Bottom-Left (BL) > Top-Left (TL) > Bottom-Right (BR) ≈ Top-Right (TR). Exit-proximal damage (TR, BR) increased evacuation time by up to 85% compared with central impacts. Results demonstrate a strong coupling between physical friction and urgency: the “faster-is-faster” effect is maximized under low friction (high ACC), while high friction not only suppresses the benefits of elevated EL but can also induce “faster-is-slower” phenomena under extreme conditions. These findings underscore that optimal evacuation strategies depend critically on both impact location and crowd behavior management, providing actionable insights for emergency planning and highlighting the importance of conflict mitigation in enhancing infrastructure resilience. The proposed framework thus offers a versatile and validated simulation tool for emergency planners to proactively assess and optimize evacuation strategies under various damage scenarios. Full article
(This article belongs to the Special Issue Behavioral Research on Fire Evacuation and Decision-Making Processes)
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