IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i17p4685-d261699.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/17/4685/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/17/4685/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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. 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.
    5. 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.
    6. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Subramanian, Gayathri Harihara & Choubey, Nipun & Verma, Ashish, 2022. "Modelling and simulating serpentine group behaviour in crowds using modified social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    2. Liu, Jing & Jia, Yang & Mao, Tianlu & Wang, Zhaoqi, 2022. "Modeling and simulation analysis of crowd evacuation behavior under terrorist attack," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    3. Yu Song & Jia Liu & Qian Liu, 2021. "Dynamic Decision-Making Process of Evacuees during Post-Earthquake Evacuation near an Automatic Flap Barrier Gate System: A Broken Windows Perspective," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    4. Sun, Yutong & Liu, Hong, 2021. "Crowd evacuation simulation method combining the density field and social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    5. Khamis, Nurulaqilla & Selamat, Hazlina & Ismail, Fatimah Sham & Lutfy, Omar Farouq & Haniff, Mohamad Fadzli & Nordin, Ili Najaa Aimi Mohd, 2020. "Optimized exit door locations for a safer emergency evacuation using crowd evacuation model and artificial bee colony optimization," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    6. Lu, Peng & Wen, Feier & Li, Yan & Chen, Dianhan, 2021. "Multi-agent modeling of crowd dynamics under mass shooting cases," Chaos, Solitons & Fractals, Elsevier, vol. 153(P2).
    7. Xia Zhong Zheng & Dan Tian & Ming Zhang & Chaoran Hu & Liyang Tong, 2019. "A Stairs Evacuation Model Considering the Pedestrian Merging Flows," Discrete Dynamics in Nature and Society, Hindawi, vol. 2019, pages 1-11, December.
    8. Chen, Changkun & Sun, Huakai & Lei, Peng & Zhao, Dongyue & Shi, Congling, 2021. "An extended model for crowd evacuation considering pedestrian panic in artificial attack," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    9. Tanimoto, Jun & Hagishima, Aya & Tanaka, Yasukaka, 2010. "Study of bottleneck effect at an emergency evacuation exit using cellular automata model, mean field approximation analysis, and game theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5611-5618.
    10. Ji, Jingwei & Lu, Ligang & Jin, Zihao & Wei, Shoupeng & Ni, Lu, 2018. "A cellular automata model for high-density crowd evacuation using triangle grids," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 1034-1045.
    11. 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.
    12. Kurdi, Heba & Almulifi, Asma & Al-Megren, Shiroq & Youcef-Toumi, Kamal, 2021. "A balanced evacuation algorithm for facilities with multiple exits," European Journal of Operational Research, Elsevier, vol. 289(1), pages 285-296.
    13. Lu, X. & Blanton, H. & Gifford, T. & Tucker, A. & Olderman, N., 2021. "Optimized guidance for building fires considering occupants’ route choices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    14. Xie, Chuan-Zhi & Tang, Tie-Qiao & Hu, Peng-Cheng & Chen, Liang, 2022. "Observation and cellular-automaton based modeling of pedestrian behavior on an escalator," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    15. Wang, Jinhuan & Zhang, Lei & Shi, Qiongyu & Yang, Peng & Hu, Xiaoming, 2015. "Modeling and simulating for congestion pedestrian evacuation with panic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 396-409.
    16. Ma, Liang & Chen, Bin & Wang, Xiaodong & Zhu, Zhengqiu & Wang, Rongxiao & Qiu, Xiaogang, 2019. "The analysis on the desired speed in social force model using a data driven approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 894-911.
    17. Hu, Xiangmin & Chen, Tao & Deng, Kaifeng & Wang, Guanning, 2023. "Effects of aggressiveness on pedestrian room evacuation using extended cellular automata model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 619(C).
    18. Li, Jun & Fu, Siyao & He, Haibo & Jia, Hongfei & Li, Yanzhong & Guo, Yi, 2015. "Simulating large-scale pedestrian movement using CA and event driven model: Methodology and case study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 437(C), pages 304-321.
    19. Yudi Zhang & Lei He, 2022. "Research on the Characteristics and Influencing Factors of Community Residents’ Night Evacuation Behavior Based on Structural Equation Model," Sustainability, MDPI, vol. 14(19), pages 1-21, October.
    20. Yu, Hang & Li, Xintong & Song, Weiguo & Zhang, Jun & Li, Xudong & Xu, Han & Jiang, Kechun, 2022. "Pedestrian emergency evacuation model based on risk field under attack event," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:17:p:4685-:d:261699. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.