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Occupant evacuation and casualty estimation in a building under earthquake using cellular automata

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  • Li, Shuang
  • Zhai, Changhai
  • Xie, Lili

Abstract

Knowledge of occupant evacuation process in a building presents engineers with an efficient way of testing the rationality of the building design before construction. Meanwhile, it benefits to the occupant casualty estimation in the building under earthquakes, which has been an essential problem in the performance-based earthquake engineering methodology. The cellular automata model is adopted to simulate the occupant movements in the building. The factors including the behaviors of directional moving to exits, directional moving with crowds, and the competitive phenomenon to a position are included in the model. Evacuation processes at different regions of the building containing room, corridor and staircase are considered and effects of model parameters, competition, exit width, and occupant density are studied. The building collapse under earthquakes is simulated by explicit finite element method. The occupant casualties in an earthquake are evaluated by coupling the building collapse simulation and evacuation process simulation with time and space synchronization. A casualty occurrence criterion is defined using relative displacement. Comparing with existing methods, the presented method can provide estimations on occupant evacuation process and occupant casualties in a more accurate way and provide after-earthquake occupant casualty distributions in the building. Fragility functions of casualty and death caused economic loss are also provided.

Suggested Citation

  • Li, Shuang & Zhai, Changhai & Xie, Lili, 2015. "Occupant evacuation and casualty estimation in a building under earthquake using cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 152-167.
  • Handle: RePEc:eee:phsmap:v:424:y:2015:i:c:p:152-167
    DOI: 10.1016/j.physa.2015.01.008
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    References listed on IDEAS

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    Cited by:

    1. Kefan Xie & Yu Song & Jia Liu & Benbu Liang & Xiang Liu, 2018. "Stampede Prevention Design of Primary School Buildings in China: A Sustainable Built Environment Perspective," IJERPH, MDPI, vol. 15(7), pages 1-21, July.
    2. Zhou, Zi-Xuan & Nakanishi, Wataru & Asakura, Yasuo, 2021. "Route choice in the pedestrian evacuation: Microscopic formulation based on visual information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    3. Cao, Shuchao & Song, Weiguo & Lv, Wei & Fang, Zhiming, 2015. "A multi-grid model for pedestrian evacuation in a room without visibility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 45-61.
    4. Guo, Fang & Li, Xingli & Kuang, Hua & Bai, Yang & Zhou, Huaguo, 2016. "An extended cost potential field cellular automata model considering behavior variation of pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 630-640.
    5. Miyagawa, Daiki & Ichinose, Genki, 2020. "Cellular automaton model with turning behavior in crowd evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    6. Li, Shuang & Yu, Xiaohui & Zhang, Yanjuan & Zhai, Changhai, 2018. "A numerical simulation strategy on occupant evacuation behaviors and casualty prediction in a building during earthquakes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1238-1250.
    7. Han, Yanbin & Liu, Hong, 2017. "Modified social force model based on information transmission toward crowd evacuation simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 499-509.
    8. Zhou, Zi-Xuan & Nakanishi, Wataru & Asakura, Yasuo, 2021. "Data-driven framework for the adaptive exit selection problem in pedestrian flow: Visual information based heuristics approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).

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