IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v656y2024ics0378437124007386.html
   My bibliography  Save this article

An evacuation model considering pedestrian group behavior under violent attacks

Author

Listed:
  • Guo, Chenglin
  • Huo, Feizhou
  • Deng, Shihan
  • Huang, Jianan
  • Zhang, Wei

Abstract

In recent years, violent attacks have garnered significant attention from the international community and gradually evolved into a global issue. In responding to such emergencies, effective emergency evacuation is an essential means to ensure public safety. In order to explore the pedestrian evacuation dynamics in violent attacks and understand the behavioral characteristics of individuals and the dynamic interactions of groups during the evacuation process, this paper proposes an agent-based cellular automata evacuation model. First, each agent is assigned several internal attributes such as life value, panic value, and movement speed, and the assignments fully take into account the heterogeneity of individuals. Next, by setting the attack strategy of attackers and the evacuation mechanism of pedestrians, the complex system is modeled from a microscopic perspective. Finally, the effects of critical factors on the pedestrian evacuation process, such as panic coefficient, crowd structure, group ratio, attack distance and intensity, attacker location and number, and counterattack probability, are discussed through simulation. The results show that the tension caused by moderate panic is beneficial, but excessive panic will lead to increased evacuation time and fatalities. Meanwhile, the group behavior among pedestrians causes them to move relatively lagging, and the evacuation efficiency decreases as the group scale increases. Additionally, increases in attack intensity, attack distance, and attacker number all result in more casualties, and the consequences are most severe when multiple attackers operate separately, but counterattacks by pedestrians can significantly improve the overall safety of evacuation. Our study can provide some reference and basis for emergency management under violent attacks.

Suggested Citation

  • Guo, Chenglin & Huo, Feizhou & Deng, Shihan & Huang, Jianan & Zhang, Wei, 2024. "An evacuation model considering pedestrian group behavior under violent attacks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 656(C).
  • Handle: RePEc:eee:phsmap:v:656:y:2024:i:c:s0378437124007386
    DOI: 10.1016/j.physa.2024.130229
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437124007386
    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.2024.130229?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. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    2. 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.
    3. 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).
    4. Cao, Shuchao & Fu, Libi & Song, Weiguo, 2018. "Exit selection and pedestrian movement in a room with two exits under fire emergency," Applied Mathematics and Computation, Elsevier, vol. 332(C), pages 136-147.
    5. Bao, Yu & Huo, Feizhou, 2021. "An agent-based model for staircase evacuation considering agent’s rotational behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    6. 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).
    7. Fu, Libi & Qin, Huigui & He, Yangjian & Shi, Yongqian, 2024. "Application of the social force modelling method to evacuation dynamics involving pedestrians with disabilities," Applied Mathematics and Computation, Elsevier, vol. 460(C).
    8. Jin, Cheng-Jie & Shi, Ke-Da & Jiang, Rui & Li, Dawei & Fang, Shuyi, 2023. "Simulation of bi-directional pedestrian flow under high densities using a modified social force model," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    9. Huo, Feizhou & Li, Chao & Li, Yufei & Lv, Wei & Ma, Yaping, 2022. "An extended model for describing pedestrian evacuation considering the impact of obstacles on the visual view," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    10. Yaping Ma & Xiaoying Liu & Feizhou Huo & Hui Li, 2022. "Analysis of Cooperation Behaviors and Crowd Dynamics during Pedestrian Evacuation with Group Existence," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    11. Wang, Jia & Ni, Shunjiang & Shen, Shifei & Li, Shuying, 2019. "Empirical study of crowd dynamic in public gathering places during a terrorist attack event," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1-9.
    12. repec:plo:pone00:0010047 is not listed on IDEAS
    13. Zhou, Xuemei & Hu, Jingjie & Ji, Xiangfeng & Xiao, Xiongziyan, 2019. "Cellular automaton simulation of pedestrian flow considering vision and multi-velocity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 982-992.
    14. 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.
    15. Zhang, Bosi & Chen, Wenyan & Ma, Xian & Qiu, Ping & Liu, Fupeng, 2020. "Experimental study on pedestrian behavior in a mixed crowd of individuals and groups," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    16. 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).
    17. Guo, Chenglin & Huo, Feizhou & Li, Yufei & Li, Chao & Zhang, Jun, 2024. "An evacuation model considering pedestrian crowding and stampede under terrorist attacks," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    18. Fu, Libi & Song, Weiguo & Lv, Wei & Lo, Siuming, 2014. "Simulation of emotional contagion using modified SIR model: A cellular automaton approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 380-391.
    19. Wang, Xinjian & Liu, Zhengjiang & Wang, Jin & Loughney, Sean & Yang, Zaili & Gao, Xiaowei, 2021. "Experimental study on individual walking speed during emergency evacuation with the influence of ship motion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    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. Guo, Chenglin & Huo, Feizhou & Li, Yufei & Li, Chao & Zhang, Jun, 2024. "An evacuation model considering pedestrian crowding and stampede under terrorist attacks," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    2. Guo, Chenglin & Huo, Feizhou & Li, Chao & Li, Yufei, 2023. "An evacuation model considering the phototactic behavior of panic pedestrians under limited visual field," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    3. 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).
    4. He, Hong & Su, Ran & Xie, Shaocong & Chen, Zhihang & Fang, Zhiming, 2025. "Experimental and interpretable machine learning-based analysis of pedestrian evacuation behavior in attack situations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 657(C).
    5. Li, Yufei & Li, Chao & Guo, Chenglin & Huo, Feizhou, 2024. "Dynamic coupling model of FDS and cellular automata considering trampling behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    6. 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).
    7. 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).
    8. Liu, Jiaming & Zhang, Hui & Ding, Ning & Li, Yuntao, 2024. "A modified social force model for sudden attack evacuation based on Yerkes–Dodson law and the tendency toward low risk areas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    9. Wang, Guanning & Chen, Tao & Hu, Xiangmin & Zheng, Huijie & Jiang, Wenyu, 2022. "Wall-following searching or area coverage searching? Simulation study of the panic evacuation considering the guidance of a single rescuer," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    10. Tian, Jiangtao & Li, Xingli & Guo, Qinghua & Kuang, Hua, 2024. "Dynamics characteristic of pedestrians’ particular overtaking behavior based on an improved social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 643(C).
    11. Ma, Yaping & Zhang, Gangqiang & Huo, Feizhou, 2024. "An evacuation model considering pedestrian fall behavior in an inclined passenger ship," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 643(C).
    12. Fu, Libi & Shi, Qingxin & Qin, Huigui & Zhang, Ying & Shi, Yongqian, 2022. "Analysis of movement behavior of pedestrian social groups through a bottleneck," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    13. 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.
    14. Li, Yang & Chen, Maoyin & Zheng, Xiaoping & Dou, Zhan & Cheng, Yuan, 2020. "Relationship between behavior aggressiveness and pedestrian dynamics using behavior-based cellular automata model," Applied Mathematics and Computation, Elsevier, vol. 371(C).
    15. Enrico Quagliarini & Fabio Fatiguso & Michele Lucesoli & Gabriele Bernardini & Elena Cantatore, 2021. "Risk Reduction Strategies against Terrorist Acts in Urban Built Environments: Towards Sustainable and Human-Centred Challenges," Sustainability, MDPI, vol. 13(2), pages 1-29, January.
    16. Vacková, Jana & Krbálek, Milan & Apeltauer, Tomáš & Uhlík, Ondřej & Apeltauer, Jiří, 2023. "Comfort of pedestrians from a mathematical viewpoint: Kernel estimate approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 627(C).
    17. 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.
    18. Zhao, Xuedan & Xia, Long & Zhang, Jun & Song, Weiguo, 2020. "Artificial neural network based modeling on unidirectional and bidirectional pedestrian flow at straight corridors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 547(C).
    19. Shi, Xiaomeng & Xue, Shuqi & Shiwakoti, Nirajan & Li, Dawei & Ye, Zhirui, 2022. "Examining the effects of exit layout designs on children pedestrians’ exit choice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 602(C).
    20. Mao, Qinghua & Huo, Wenteng & Li, Zunshu & Liu, Xueying & Li, Yang & Wang, Heng, 2024. "Evacuation strategies for wrecked pedestrians considering emotional contagion and safety officers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 640(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:656:y:2024:i:c:s0378437124007386. 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.