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A Novel Emergency Evacuation Model of Subway Station Passengers Considering Personality Traits

Author

Listed:
  • Heng Wang

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 200092, China)

  • Tiandong Xu

    (College of Design, Construction and Planning, University of Florida, Gainesville, FL 32611, USA
    Urban Transport Institute, China Academy of Urban Planning and Design, Beijing 100044, China)

  • Feng Li

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 200092, China)

Abstract

Subway station emergencies have caused serious casualties in recent years, so the aim of this research was to develop and establish an evacuation model that considers the OCEAN personality psychological traits to improve the credibility of the emergency pedestrian evacuation simulation. Firstly, the relationship between the personality and psychological stress was established based on the reconstruction of a passenger’s personality traits. Secondly, the relationship between the expected speed and a passenger’s personality traits was modified based on the social force model. Finally, the simulation was carried out using the Anylogic software. The results show that as the value of the personality increases, the evacuation time of personalities ψ A and ψ C gradually increases, but the opposite effect is observed for personalities ψ N and ψ E . Similarly, as the value of personality traits increases, the speed of personalities ψ A and ψ C gradually decreases, but the opposite effect is observed for personalities ψ N and ψ E . Only during peak periods, as the value of personality traits increases, the density of the connecting area of passengers with personality traits ψ A and ψ C gradually increases; on the contrary, that of passengers with personality traits ψ N and ψ E gradually decreases. The conclusion of this study is that different personality traits have different effects on evacuation behavior, which enriches the model of pedestrian evacuation further.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10463-:d:639447
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    References listed on IDEAS

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    1. 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.
    2. Dirk Helbing & Lubos Buzna & Anders Johansson & Torsten Werner, 2005. "Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions," Transportation Science, INFORMS, vol. 39(1), pages 1-24, February.
    3. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
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    Cited by:

    1. Mohammed Mahmod Shuaib, 2021. "An Extension of the Exit Choice Model: Considering the Variance in the Perspectives of Evacuees When Interacting with the Spread of Fire," Sustainability, MDPI, vol. 14(1), pages 1-18, December.
    2. Huang, Lin & Li, Wenhang & Gong, Jianhua, 2024. "Simulation of the emergency evacuation about social groups in a complex subway station," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
    3. Wang, Guanning & Chen, Tao & Zheng, Huijie & Wang, Jianyu & Hu, Xiangmin & Deng, Kaifeng & Tao, Zhenxiang & Luo, Ning, 2023. "Heterogeneous crowd dynamics considering the impact of personality traits under a fire emergency: A questionnaire & simulation-based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 610(C).
    4. Jingyuan Li & Weile Liu & Fangwei Zhang & Taiyang Li & Rui Wang, 2022. "A Ship Fire Escape Speed Correction Method Considering the Influence of Crowd Interaction," Mathematics, MDPI, vol. 10(15), pages 1-14, August.

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