Cellular automaton model for social forces interaction in building evacuation for sustainable society

Yameng Chen, Chen Wang, Heng Li, Jeffrey Boon Hui Yap, Rui Tang, Bin Xu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

27 Citations (Scopus)


A basic cellular automaton model does not consider social forces interaction in building evacuation thus could not explain complex crowd evacuation processes. This study developed a cellular automaton model on social forces interaction in building evacuation, where the positive and negative impacts of social forces on evacuation time were simulated and analyzed. The model was verified using experimental data. The clustering attraction between people always increased the evacuation time regardless of the number of evacuees, the building size, the number of exits, and the people distribution, thus the clustering attraction is always to be avoided. When people in a room were randomly and evenly distributed, the repulsive force of obstacles, the attractiveness of evacuation direction, and the repulsive force of exit congestion played negligible roles on the evacuation time thus could be ignored. The evacuation path could be optimised by adjusting the influence coefficients of social forces to reduce the evacuation time.

Original languageEnglish
Article number101913
JournalSustainable Cities and Society
Publication statusPublished - Feb 2020


  • Building emergency evacuation
  • Building evacuation time
  • Cellular automaton
  • Social force interaction

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Civil and Structural Engineering
  • Renewable Energy, Sustainability and the Environment
  • Transportation


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