Fire evacuation visualization in nursing homes based on agent and cellular automata

Chen Wang, Yutong Tang, Mukhtar A. Kassem, Heng Li, Zhizhan Wu

Research output: Journal article publicationJournal articleAcademic researchpeer-review


As China's population ages and the notion of contemporary people evolves, an increasing number of elderly people opt to spend their final years in a nursing home. Recently, there have been more fires in nursing facilities for the elderly. As a result, using computer simulation technology, this paper creates an evacuation micro-simulation model for the elderly and nursing staff, investigates the impact of psychological characteristics and evacuation behavior of the elderly and nursing staff on fire escape during the fire evacuation process, and designs fire evacuation for nursing homes. Based on the nursing home's regular evacuation paradigm, the study examines the behavioral elements. To simulate the three models and the influence of various behavioral and psychological features on fire evacuation, the authors utilized the MATLAB software, which is based on Agent theory and cellular automata. The simulation results show that the three models proposed in this study are capable of accurately describing reality.

Original languageEnglish
Pages (from-to)181-198
Number of pages18
JournalJournal of Safety Science and Resilience
Issue number4
Publication statusPublished - Dec 2021


  • Agent modeling
  • Cellular automata
  • Crowded evacuation
  • Normal evacuation
  • Nursing home
  • Panic evacuation
  • Staff evacuation

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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