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Modeling Evacuation of High-Rise Buildings Based on Intelligence Decision P System

Author

Listed:
  • Yunyun Niu

    (School of Information Engineering, China University of Geosciences in Beijing, Beijing 100083, China)

  • Jieqiong Zhang

    (School of Information Engineering, China University of Geosciences in Beijing, Beijing 100083, China)

  • Yongpeng Zhang

    (School of Information Engineering, China University of Geosciences in Beijing, Beijing 100083, China)

  • Jianhua Xiao

    (The Research Center of Logistics, Nankai University, Tianjin 300071, China)

Abstract

High-rise buildings usually have more complex architectural structures and hold more people than single-storey buildings. Currently, crowd management under emergent conditions, especially rapid evacuations of high-rise buildings, is a worldwide problem. In this study, a bio-inspired simulation technology extracted from a cell migration process, namely Intelligent Decision System (IDPS), was used to model the dynamic evacuation of high-rise buildings and calculate the evacuation time for different scenarios. This work was motivated by the comparability between the pedestrian movement behavior and cell migration process. Specific structure information of high architecture was also described in IDPS. A case study was done about evacuation simulation of a 12-storey teaching building in China University of Geosciences in Beijing. The simulation results showed that evacuation time varied with different parameters, such as density threshold, interaction probability, walking speed, population distribution, and stair width. With the proper density threshold and good interaction probability, the load balance of staircases and exits can be improved. For staircases with high utilization ratios, it was recommended that the evacuation process can be accelerated by widening the staircases appropriately. Finally, the impact of initial number of evacuees at each floor level was also analyzed in view of safety management.

Suggested Citation

  • Yunyun Niu & Jieqiong Zhang & Yongpeng Zhang & Jianhua Xiao, 2019. "Modeling Evacuation of High-Rise Buildings Based on Intelligence Decision P System," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:17:p:4685-:d:261699
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    References listed on IDEAS

    as
    1. Liu, Qian, 2018. "A social force model for the crowd evacuation in a terrorist attack," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 315-330.
    2. Zheng, Xiaoping & Li, Wei & Guan, Chao, 2010. "Simulation of evacuation processes in a square with a partition wall using a cellular automaton model for pedestrian dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(11), pages 2177-2188.
    3. Mohd Ibrahim, Azhar & Venkat, Ibrahim & Wilde, Philippe De, 2017. "Uncertainty in a spatial evacuation model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 485-497.
    4. Ma, Yaping & Li, Lihua & Zhang, Hui & Chen, Tao, 2017. "Experimental study on small group behavior and crowd dynamics in a tall office building evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 488-500.
    5. Zhang, Hao & Liu, Hong & Qin, Xin & Liu, Baoxi, 2018. "Modified two-layer social force model for emergency earthquake evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1107-1119.
    6. Ning Ding & Hui Zhang & Tao Chen, 2017. "Simulation-based optimization of emergency evacuation strategy in ultra-high-rise buildings," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(3), pages 1167-1184, December.
    7. Keith Christensen & Yuya Sasaki, 2008. "Agent-Based Emergency Evacuation Simulation with Individuals with Disabilities in the Population," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(3), pages 1-9.
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