Simulation of subway flood evacuation based on modified social force model

被引:0
|
作者
Li, Yulong [1 ]
Xu, Dongyue [1 ]
Wang, Jinghong [1 ]
Liu, Juan [1 ]
Wang, Yan [2 ]
Jiang, Juncheng [1 ]
机构
[1] Jiangsu Key Laboratory of Urban and Industrial Safety, College of Safety Science and Engineering, Nanjing Tech University, Nanjing,210009, China
[2] Department of Public Administration, School of Law, Nanjing Tech University, Nanjing,211800, China
基金
中国国家自然科学基金;
关键词
Flood control;
D O I
10.1016/j.tust.2024.106244
中图分类号
学科分类号
摘要
The issue of crowd evacuation during sudden floods in subway stations has gained increasing attention in recent years. However, previous studies have not sufficiently examined the influence of flood flow characteristics, such as location and velocity, on pedestrian evacuation. This gap has limited the effectiveness of current flood evacuation models for subway stations, restricting their utility in formulating robust emergency evacuation strategies. In response, this paper introduces a modified social force model that integrates the combined effects of flood flow depth and velocity at various station locations on pedestrian movement, while also accounting for the role of obstacles during flood evacuation. A case study of an actual subway station under flood conditions demonstrates that flow presence notably reduces evacuation efficiency, with varying effects depending on location. Evacuation efficiency generally declines initially before improving as flood conditions persist, reaching its lowest point at a platform flood velocity of 0.5 m/s and highest at 2 m/s. On staircases and escalators, increased flood flow velocity correlates with reduced evacuation success rate. In terms of emergency response, strategically placing obstacles in flooded areas enhances evacuation efficiency, reducing evacuation time by up to 16.1 % and improving the success rate by as much as 17.8 %. The key contribution of this study is the introduction of a new methodology for flood evacuation research in subway stations, offering a scientific basis for designing effective emergency evacuation plans and safety measures. © 2024 Elsevier Ltd
引用
下载
收藏
相关论文
共 50 条
  • [21] Social Force as a Microscopic Simulation Model for Pedestrian Behavior in Crowd Evacuation
    Abu Bakar, Noor Akma
    Majid, Mazlina Abdul
    Adam, Khalid
    Allegra, Mario
    ADVANCED SCIENCE LETTERS, 2018, 24 (10) : 7611 - 7616
  • [22] An evacuation simulation method based on an improved artificial bee colony algorithm and a social force model
    Yuan Zhao
    Hong Liu
    Kaizhou Gao
    Applied Intelligence, 2021, 51 : 100 - 123
  • [23] An evacuation simulation method based on an improved artificial bee colony algorithm and a social force model
    Zhao, Yuan
    Liu, Hong
    Gao, Kaizhou
    APPLIED INTELLIGENCE, 2021, 51 (01) : 100 - 123
  • [24] Evacuation in the Social Force Model is not Stationary
    Gawronski, P.
    Kulakowski, K.
    Kämpf, M.
    Kantelhardt, J.W.
    Acta Physica Polonica A, 2012, 121 (2 B)
  • [25] Evacuation in the Social Force Model is not Stationary
    Gawronski, P.
    Kulakowski, K.
    Kaempf, M.
    Kantelhardt, J. W.
    ACTA PHYSICA POLONICA A, 2012, 121 (02) : B77 - B81
  • [26] Visual information based social force model for crowd evacuation
    Wu, Wenhan
    Chen, Maoyin
    Li, Jinghai
    Liu, Binglu
    Wang, Xiaolu
    Zheng, Xiaoping
    TSINGHUA SCIENCE AND TECHNOLOGY, 2022, 27 (03) : 619 - 629
  • [27] Optimization of Emergency Evacuation Strategy Based on Social Force Model
    Zhang, Yahui
    PROCEEDINGS OF THE 5TH INTERNATIONAL SYMPOSIUM ON SOCIAL SCIENCE (ISSS 2019), 2020, 415 : 379 - 382
  • [28] Study of the indoor evacuation based on the grouping social force model
    Du, Ping
    Li, Yan
    Liu, Hong
    Zheng, Xiangwei
    2018 NINTH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY IN MEDICINE AND EDUCATION (ITME 2018), 2018, : 1018 - 1026
  • [29] Visual Information Based Social Force Model for Crowd Evacuation
    Wenhan Wu
    Maoyin Chen
    Jinghai Li
    Binglu Liu
    Xiaolu Wang
    Xiaoping Zheng
    Tsinghua Science and Technology, 2022, 27 (03) : 619 - 629
  • [30] A modified social force model for crowd evacuation considering collision predicting behaviors
    Ding, Ning
    Zhu, Yu
    Liu, Xinyan
    Dong, Dapeng
    Wang, Yang
    APPLIED MATHEMATICS AND COMPUTATION, 2024, 466