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Effect of authority figures for pedestrian evacuation at metro stations

Author

Listed:
  • Song, Xiao
  • Zhang, Zenghui
  • Peng, Gongzhuang
  • Shi, Guoqiang

Abstract

Most pedestrian evacuation literatures are about routing algorithm, human intelligence and behavior etc. Few works studied how to fully explore the function of authority/security figures, who know more of the environment by simply being there every day. To evaluate the effect of authority figure (AF) in complex buildings, this paper fully investigates the AF related factors that may influence the evacuation effect of crowd, such as the number and locations of AFs, their spread of direction, calming effect and distribution strategies etc. Social force based modeling and simulation results show that these factors of AFs play important roles in evacuation efficiency, which means fewer AFs with right guiding strategy can have good evacuation performance. For our case study, Zhichun Avenue station, the conclusion is that deployment of four AFs is a good choice to achieve relatively high evacuation performance yet save cost.

Suggested Citation

  • Song, Xiao & Zhang, Zenghui & Peng, Gongzhuang & Shi, Guoqiang, 2017. "Effect of authority figures for pedestrian evacuation at metro stations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 599-612.
    • Handle: RePEc:eee:phsmap:v:465:y:2017:i:c:p:599-612
    DOI: 10.1016/j.physa.2016.08.015
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    References listed on IDEAS

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    1. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    2. Song, Xiao & Ma, Liang & Ma, Yaofei & Yang, Chen & Ji, Hang, 2016. "Selfishness- and Selflessness-based models of pedestrian room evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 455-466.
    3. Song, Xiao & Shi, Wen & Ma, Yaofei & Yang, Chen, 2015. "Impact of informal networks on opinion dynamics in hierarchically formal organization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 916-924.
    4. Song, Xiao & Zhang, Shaoyun & Qian, Lidong, 2013. "Opinion dynamics in networked command and control organizations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 5206-5217.
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    Cited by:

    1. Yang, Xingxing & Li, Yang & Guo, Xin & Ding, Meiling & Yang, Jingxuan, 2023. "Simulation of energy-efficient operation for metro trains: A discrete event-driven method based on multi-agent theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    2. Ștefan Ionescu & Ionuț Nica & Nora Chiriță, 2021. "Cybernetics Approach Using Agent-Based Modeling in the Process of Evacuating Educational Institutions in Case of Disasters," Sustainability, MDPI, vol. 13(18), pages 1-29, September.
    3. Delcea, Camelia & Cotfas, Liviu-Adrian, 2019. "Increasing awareness in classroom evacuation situations using agent-based modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1400-1418.
    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).

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