Development of an agent-based indoor evacuation model for local fire risks analysis

Rui Feng Cao, Eric Wai Ming Lee, Wei Xie, Dong Li Gao, Qian Chen, Anthony Chun Yin Yuen, Guan Heng Yeoh, Richard Kwok Kit Yuen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)


Evidence suggests that in the event of a fire accident, a certain number of building occupants escape through smoke-filled environments. Consequently, evaluating the corresponding evacuation performance under such life-threatening conditions is important for advancing fire safety analyses. This study aimed to develop a fire-integrated evacuation model to consider the effects of spreading fire hazards (i.e., radiation, temperature, toxic gas, visibility) on evacuees in a room fire evacuation scenario. Furthermore, a novel quantitative approach was introduced to evaluate evacuees’ local fire risks and stress levels according to their egress paths. The escape characteristics at various stages of fire development were studied as well. The results demonstrate that evacuation performance varies considerably depending on the severity of evacuees’ confronted fire hazard conditions, which emphasizes the importance of minimizing the pre-evacuation time in fire evacuation emergencies.

Original languageEnglish
Pages (from-to)75-92
Number of pages18
JournalJournal of Safety Science and Resilience
Issue number1
Publication statusPublished - Mar 2023
Externally publishedYes


  • Evacuation dynamics
  • Fire emergency
  • Indoor evacuation modeling
  • Local fire risks

ASJC Scopus subject areas

  • Safety Research
  • Safety, Risk, Reliability and Quality
  • Management Science and Operations Research
  • Statistics, Probability and Uncertainty
  • Computer Science Applications


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