Influencing factors for exit selection in subway station evacuation

Zhengyu Cai, Ru Zhou, Yinkai Cui, Yan Wang, Juncheng Jiang

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

As important urban transportation hubs, the subway stations with a massive flow of people require more evacuation exits. This study combined the exit choice model and the social force model with pedestrian classification. Three influencing factors were discussed in calculating the utility value: pedestrian density, distance from pedestrian to exits, and exit width. The effects of distance and density weight coefficient in the exit choice model on evacuation time are explored. The results show that with an increase in the density weight coefficient of the luggage-laden pedestrian, the evacuation time initially decreases and then increases. The evacuation time was shortened as the pedestrian density's standard deviation at exits decreased, and the evacuation time was extended otherwise. Evacuation time was compared based on different proportions of the pedestrian categories. The results show that the number of luggage-laden pedestrians is the main factor that leads to an increase in evacuation time. Scenarios with different exit widths are discussed. The evacuation time decreases with an increase in exit width, and the evacuation time tends to be stable when all exits have a width of 2.5 m.

Original languageEnglish
Article number104498
JournalTunnelling and Underground Space Technology
Volume125
DOIs
StatePublished - Jul 2022

Keywords

  • Emergency evacuation
  • Exit choice
  • Pedestrian flow
  • Social force model
  • Subway station

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