IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v545y2020ics0378437119319806.html
   My bibliography  Save this article

A simplified method to provide evacuation guidance in a multi-exit building under emergency

Author

Listed:
  • Gao, Jin
  • He, Jun
  • Gong, Jinghai

Abstract

This paper introduces a simplified method to provide evacuation guidance under emergency by employing an evacuation system, which intends to develop an effective evacuation scheme in advance to prevent overcrowding in front of exits caused by the asymmetrical layout of exits or pedestrians in a multi-exit building. A modified cellular automata model based on Floor Field theory is proposed to solve this problem. Two coefficients: exit weight coefficient and individual acceptance coefficient are put forward, which are used to redistribute the static floor field and represent personal acceptance degree of the guiding information respectively. The effectiveness of the modified model is validated by simulating a series of double-exit and four-exit evacuation areas, with uniform and concentrated distributed of pedestrian respectively. A more complex and real evacuation building is investigated to further prove the validity of the modified model. Simulation results demonstrate that proper exit weight coefficients can reduce the imbalance during evacuation procedures effectively and help to reach a higher evacuation efficiency, which can be transferred to the emergency evacuation guiding sub-system to guide pedestrians to a rational exit in the evacuation system. With the increment of individual acceptance coefficient, the evacuation time shows a downward trend. It is also found the concentrated distribution of pedestrians has an advert effect on evacuation time when compared with pedestrians’ uniform distribution in four-exit evacuation areas. By this simplified method, most pedestrians are given a faster route to leave the evacuation area and not bothered by the exit selection.

Suggested Citation

  • Gao, Jin & He, Jun & Gong, Jinghai, 2020. "A simplified method to provide evacuation guidance in a multi-exit building under emergency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
  • Handle: RePEc:eee:phsmap:v:545:y:2020:i:c:s0378437119319806
    DOI: 10.1016/j.physa.2019.123554
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437119319806
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2019.123554?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Huan-Huan, Tian & Li-Yun, Dong & Yu, Xue, 2015. "Influence of the exits’ configuration on evacuation process in a room without obstacle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 164-178.
    2. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    3. Hughes, Roger L., 2002. "A continuum theory for the flow of pedestrians," Transportation Research Part B: Methodological, Elsevier, vol. 36(6), pages 507-535, July.
    4. Zheng, Ying & Li, Xingang & Zhu, Nuo & Jia, Bin & Jiang, Rui, 2018. "Evacuation dynamics with smoking diffusion in three dimension based on an extended Floor-Field model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 414-426.
    5. Kirchner, Ansgar & Schadschneider, Andreas, 2002. "Simulation of evacuation processes using a bionics-inspired cellular automaton model for pedestrian dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 312(1), pages 260-276.
    6. Yue, Hao & Hao, Herui & Chen, Xiaoming & Shao, Chunfu, 2007. "Simulation of pedestrian flow on square lattice based on cellular automata model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 567-588.
    7. Kurdi, Heba A. & Al-Megren, Shiroq & Althunyan, Reham & Almulifi, Asma, 2018. "Effect of exit placement on evacuation plans," European Journal of Operational Research, Elsevier, vol. 269(2), pages 749-759.
    8. Liu, Shaobo & Yang, Lizhong & Fang, Tingyong & Li, Jian, 2009. "Evacuation from a classroom considering the occupant density around exits," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(9), pages 1921-1928.
    9. Løvås, Gunnar G., 1994. "Modeling and simulation of pedestrian traffic flow," Transportation Research Part B: Methodological, Elsevier, vol. 28(6), pages 429-443, December.
    10. Leng, Biao & Wang, Jianyuan & Zhao, Wenyuan & Xiong, Zhang, 2014. "An extended floor field model based on regular hexagonal cells for pedestrian simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 402(C), pages 119-133.
    11. Tajima, Yusuke & Nagatani, Takashi, 2001. "Scaling behavior of crowd flow outside a hall," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 292(1), pages 545-554.
    12. Burstedde, C & Klauck, K & Schadschneider, A & Zittartz, J, 2001. "Simulation of pedestrian dynamics using a two-dimensional cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(3), pages 507-525.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hiranya Sritart & Hiroyuki Miyazaki & Sakiko Kanbara & Takashi Hara, 2020. "Methodology and Application of Spatial Vulnerability Assessment for Evacuation Shelters in Disaster Planning," Sustainability, MDPI, vol. 12(18), pages 1-22, September.
    2. Dong, Shiyu & Huang, Ping & Wang, Wei, 2022. "An optimization method for evacuation guidance under limited visual field," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    3. Seo, Seung-Kwon & Yoon, Young-Gak & Lee, Ju-sung & Na, Jonggeol & Lee, Chul-Jin, 2022. "Deep Neural Network-based Optimization Framework for Safety Evacuation Route during Toxic Gas Leak Incidents," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    4. Liu, Zheng & Li, Xingang & Liu, Jialin & Jiang, Rui & Jia, Bin, 2021. "Evacuation and rescue traffic optimization with different rescue entrance opening plans," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).
    5. Liu, Ying & Yu, Jiaqi & Yin, Qing & Sun, Cheng & Sun, Ang, 2021. "Impacts of human factors on evacuation performance in university gymnasiums," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).

    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. Leng, Biao & Wang, Jianyuan & Xiong, Zhang, 2015. "Pedestrian simulations in hexagonal cell local field model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 532-543.
    2. 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.
    3. Geng, Zhongfei & Li, Xingli & Kuang, Hua & Bai, Xuecen & Fan, Yanhong, 2019. "Effect of uncertain information on pedestrian dynamics under adverse sight conditions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 681-691.
    4. Fu, Zhijian & Zhou, Xiaodong & Zhu, Kongjin & Chen, Yanqiu & Zhuang, Yifan & Hu, Yuqi & Yang, Lizhong & Chen, Changkun & Li, Jian, 2015. "A floor field cellular automaton for crowd evacuation considering different walking abilities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 294-303.
    5. Yue, Hao & Guan, Hongzhi & Zhang, Juan & Shao, Chunfu, 2010. "Study on bi-direction pedestrian flow using cellular automata simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 527-539.
    6. Li, Xingli & Guo, Fang & Kuang, Hua & Geng, Zhongfei & Fan, Yanhong, 2019. "An extended cost potential field cellular automaton model for pedestrian evacuation considering the restriction of visual field," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 47-56.
    7. Tamang, Nutthavuth & Sun, Yi, 2023. "Application of the dynamic Monte Carlo method to pedestrian evacuation dynamics," Applied Mathematics and Computation, Elsevier, vol. 445(C).
    8. Sun, Yi, 2019. "Simulations of bi-direction pedestrian flow using kinetic Monte Carlo methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 519-531.
    9. Haghani, Milad, 2021. "The knowledge domain of crowd dynamics: Anatomy of the field, pioneering studies, temporal trends, influential entities and outside-domain impact," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    10. Sun, Yi, 2020. "Kinetic Monte Carlo simulations of bi-direction pedestrian flow with different walk speeds," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    11. 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.
    12. Leng, Biao & Wang, Jianyuan & Zhao, Wenyuan & Xiong, Zhang, 2014. "An extended floor field model based on regular hexagonal cells for pedestrian simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 402(C), pages 119-133.
    13. Guo, Ren-Yong, 2014. "New insights into discretization effects in cellular automata models for pedestrian evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 400(C), pages 1-11.
    14. Varas, A. & Cornejo, M.D. & Mainemer, D. & Toledo, B. & Rogan, J. & Muñoz, V. & Valdivia, J.A., 2007. "Cellular automaton model for evacuation process with obstacles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(2), pages 631-642.
    15. Yue, Hao & Zhang, Junyao & Chen, Wenxin & Wu, Xinsen & Zhang, Xu & Shao, Chunfu, 2021. "Simulation of the influence of spatial obstacles on evacuation pedestrian flow in walking facilities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    16. Fu, Libi & Liu, Yuxing & Shi, Yongqian & Zhao, Yongxiang, 2021. "Dynamics of bidirectional pedestrian flow in a corridor including individuals with disabilities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    17. Fang, Zhi-Ming & Song, Wei-Guo & Liu, Xuan & Lv, Wei & Ma, Jian & Xiao, Xia, 2012. "A continuous distance model (CDM) for the single-file pedestrian movement considering step frequency and length," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(1), pages 307-316.
    18. Abdelghany, Ahmed & Abdelghany, Khaled & Mahmassani, Hani, 2016. "A hybrid simulation-assignment modeling framework for crowd dynamics in large-scale pedestrian facilities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 159-176.
    19. 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.
    20. Yu, Rongfu & Mao, Qinghua & Lv, Jian, 2022. "An extended model for crowd evacuation considering rescue behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(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:eee:phsmap:v:545:y:2020:i:c:s0378437119319806. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.