Evacuation simulation considering the heterogeneity of pedestrian under terrorist attacks

被引:24
作者
Cao, Shuchao [1 ,2 ]
Qian, Jialong [1 ]
Li, Xiaolian [3 ]
Ni, Jie [1 ]
机构
[1] Jiangsu Univ, Sch Automot & Traff Engn, Zhenjiang 212013, Peoples R China
[2] Univ Sci & Technol China, State Key Lab Fire Sci, Hefei 230027, Peoples R China
[3] Fujian Police Coll, Publ Secur Dept, Fuzhou 350007, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Terrorist attack; Pedestrian evacuation; Cellular automaton model; Heterogeneity; Attack strategy; SOCIAL FORCE MODEL; CROWD EVACUATION; DECISION-MAKING; BEHAVIOR; STRATEGY; TOOL;
D O I
10.1016/j.ijdrr.2022.103203
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In recent years, various types of terrorist attacks have become a great threat to crowd safety and society stability. In this paper, evacuation of heterogeneous pedestrians including rational in-dividuals and herding occupants under the terrorist attack is investigated by an extended floor field model. Evacuation time and casualties in different scenarios are analyzed. The results show that pedestrians need to maintain a proper escape intention to the exit when avoiding the terrorist. The herding behavior has negative effect on evacuation, which is likely to cause large casualties. The existence of rational pedestrian is conducive to the evacuation of herding occu-pants in a mixed crowd. Due to the typical escape pattern of pedestrians under the terrorist attack, the evacuation performance is better when the exit is in the middle than at the corner. Moreover, the positive influence of large exit width on evacuation is also constrained. Both the number of terrorist and their speed have a significant impact on pedestrian death. Furthermore, pedestrian casualties are also closely related to the initial positions of terrorists.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Simulation-based passenger evacuation optimization in metro stations considering multi-objectives
    Guo, Kai
    Zhang, Limao
    AUTOMATION IN CONSTRUCTION, 2022, 133
  • [42] Pedestrian evacuation simulation under the scenario with earthquake- induced falling debris
    Lu, Xinzheng
    Yang, Zhebiao
    Cimellaro, Gian Paolo
    Xu, Zhen
    SAFETY SCIENCE, 2019, 114 : 61 - 71
  • [43] Simulation of pedestrian evacuation with blind herd mentality under adverse sight conditions
    Yue, Hao
    Wang, Shuai
    Jia, Xiaolu
    Li, Juan
    Shao, Chunfu
    SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2016, 92 (06): : 491 - 506
  • [44] Simulation study on cooperation behaviors and crowd dynamics in pedestrian evacuation
    Ma, Ya-Ping
    Zhang, Hui
    CHINESE PHYSICS B, 2020, 29 (03)
  • [45] An extended model for describing pedestrian evacuation considering the impact of obstacles on the visual view
    Huo, Feizhou
    Li, Chao
    Li, Yufei
    Lv, Wei
    Ma, Yaping
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2022, 604
  • [46] An extended model for evacuation considering pedestrian behavior of emergency avoidance in the earthquake situation
    Li, Chao
    Li, Yufei
    Huo, Feizhou
    Yang, Ruihang
    Wang, Zhigang
    Zhou, Tiejun
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2024, 650
  • [47] Simulation of pedestrian evacuation with asymmetrical exits layout
    Yue, Hao
    Guan, Hongzhi
    Shao, Chunfu
    Zhang, Xu
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2011, 390 (02) : 198 - 207
  • [48] Modelling study on pedestrian evacuation dynamics considering exit selection behaviour under flood disaster
    Huo, Feizhou
    Huang, Jianan
    Ma, Yaping
    Guo, Chenglin
    Zhang, Wei
    Deng, Shihan
    PHYSICS LETTERS A, 2024, 527
  • [49] Simulation Study of Pedestrians Evacuation Considering Aggressive Behavior
    Mao, Qinghua
    Li, Yang
    Yu, Rongfu
    TRANSPORTATION RESEARCH RECORD, 2024, 2678 (07) : 472 - 486
  • [50] Evacuation simulation of a high-rise teaching building considering the influence of obstacles
    Zang, Yan
    Mei, Qiang
    Liu, Suxia
    SIMULATION MODELLING PRACTICE AND THEORY, 2021, 112