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Simulation of pedestrian crowds’ evacuation in a huge transit terminal subway station

Author

Listed:
  • Lei, Wenjun
  • Li, Angui
  • Gao, Ran
  • Hao, Xinpeng
  • Deng, Baoshun

Abstract

As modernized urban rail transportation, subways are playing an important role in transiting large passenger flows. Passengers are in high density within the subway during rush hours. The casualty and injury will be tremendous if an accident occurs, such as a fire. Hence, enough attention should be paid on pedestrian crowds’ evacuation in a subway. In this paper, simulation of the process of pedestrian crowds’ evacuation from a huge transit terminal subway station is conducted. The evacuation process in different cases is conducted by using an agent-based model. Effects of occupant density, exit width and automatic fare gates on evacuation time are studied in detail. It is found that, with the increase of the occupant density, the evacuation efficiency would decline. There is a linear relationship between occupant density and evacuation time. Different occupant densities correspond to different critical exit widths. However, the existence of the automatic fare gates has little effect on evacuation time and tendency. The current results of this study will be helpful in guiding evacuation designs of huge underground spaces.

Suggested Citation

  • Lei, Wenjun & Li, Angui & Gao, Ran & Hao, Xinpeng & Deng, Baoshun, 2012. "Simulation of pedestrian crowds’ evacuation in a huge transit terminal subway station," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5355-5365.
    • Handle: RePEc:eee:phsmap:v:391:y:2012:i:22:p:5355-5365
    DOI: 10.1016/j.physa.2012.06.033
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    Citations

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    Cited by:

    1. Bowen Hou & Yang Cao & Dongye Lv & Shuzhi Zhao, 2020. "Transit-Based Evacuation for Urban Rail Transit Line Emergency," Sustainability, MDPI, vol. 12(9), pages 1-18, May.
    2. Yi Shen & Gang Ren & Bin Ran, 2021. "Cascading failure analysis and robustness optimization of metro networks based on coupled map lattices: a case study of Nanjing, China," Transportation, Springer, vol. 48(2), pages 537-553, April.
    3. 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.
    4. Li, Yang & Yang, Xin & Wu, Jianjun & Sun, Huijun & Guo, Xin & Zhou, Li, 2021. "Discrete-event simulations for metro train operation under emergencies: A multi-agent based model with parallel computing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    5. Kai Yu & Nannan Qu & Jifeng Lu & Lujie Zhou, 2022. "Determining Subway Emergency Evacuation Efficiency Using Hybrid System Dynamics and Multiple Agents," Mathematics, MDPI, vol. 10(19), pages 1-18, October.
    6. Heng Wang & Tiandong Xu & Feng Li, 2021. "A Novel Emergency Evacuation Model of Subway Station Passengers Considering Personality Traits," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    7. Shang, Hua-Yan & Huang, Hai-Jun & Zhang, Yi-Ming, 2015. "An extended mobile lattice gas model allowing pedestrian step size variable," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 283-293.
    8. Ho Seok Lee & Hye Lyang Mun & Su Kyung Lee, 2018. "Evacuation time at Jong-no 3ga subway station considering electric train delays and congestion," Journal of Transportation Security, Springer, vol. 11(3), pages 137-150, December.
    9. Zeyang Cheng & Jian Lu & Yi Zhao, 2020. "Pedestrian Evacuation Risk Assessment of Subway Station under Large-Scale Sport Activity," IJERPH, MDPI, vol. 17(11), pages 1-15, May.
    10. Haonan Ye & Xiao Luo, 2021. "Cascading Failure Analysis on Shanghai Metro Networks: An Improved Coupled Map Lattices Model Based on Graph Attention Networks," IJERPH, MDPI, vol. 19(1), pages 1-17, December.
    11. Chen Wang & Yanchao Song, 2020. "Fire Evacuation in Metro Stations: Modeling Research on the Effects of Two Key Parameters," Sustainability, MDPI, vol. 12(2), pages 1-11, January.
    12. Xue Lin & Long Cheng & Shuo Zhang & Qianling Wang, 2023. "Simulating the Effects of Gate Machines on Crowd Traffic Based on the Modified Social Force Model," Mathematics, MDPI, vol. 11(3), pages 1-12, February.
    13. Xiaojuan Li & Weibin Chen & Chen Wang & Mukhtar A. Kassem, 2022. "Study on Evacuation Behavior of Urban Underground Complex in Fire Emergency Based on System Dynamics," Sustainability, MDPI, vol. 14(3), pages 1-33, January.

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