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Effect of vertical grouping behavior on pedestrian evacuation efficiency

Author

Listed:
  • Wang, Ziyang
  • Song, Bingxue
  • Qin, Yong
  • Zhu, Wei
  • Jia, Limin

Abstract

Grouping behavior is an important element which affects pedestrian group-moving behavior significantly. Current studies only give a few discussions on how grouping behavior affects pedestrian counter flow, while the effect of grouping behavior on evacuation flow is largely ignored. Here we propose a cellular automation model to describe pedestrian behavior under different grouping behavior in evacuation. By simulation we find that, comparing with other grouping behaviors, vertical grouping will block pedestrian transverse movement significantly, and this may cause pedestrians to appear as a two-peak arching distribution in the middle of evacuation and two-peak arching with a gap distribution near the end of evacuation. To the best of our knowledge, this is the first time these phenomena have been presented.

Suggested Citation

  • Wang, Ziyang & Song, Bingxue & Qin, Yong & Zhu, Wei & Jia, Limin, 2013. "Effect of vertical grouping behavior on pedestrian evacuation efficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 4874-4883.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:20:p:4874-4883
    DOI: 10.1016/j.physa.2013.06.015
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    Citations

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    Cited by:

    1. Li, Lin & Yu, Zhonghai & Chen, Yang, 2014. "Evacuation dynamic and exit optimization of a supermarket based on particle swarm optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 157-172.
    2. Ji, Jingwei & Lu, Ligang & Jin, Zihao & Wei, Shoupeng & Ni, Lu, 2018. "A cellular automata model for high-density crowd evacuation using triangle grids," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 1034-1045.
    3. Guo, Fang & Li, Xingli & Kuang, Hua & Bai, Yang & Zhou, Huaguo, 2016. "An extended cost potential field cellular automata model considering behavior variation of pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 630-640.
    4. Shi Sun & Cheng Sun & Dorine C. Duives & Serge P. Hoogendoorn, 2023. "Neural network model for predicting variation in walking dynamics of pedestrians in social groups," Transportation, Springer, vol. 50(3), pages 837-868, June.
    5. Zhang, Bosi & Chen, Wenyan & Ma, Xian & Qiu, Ping & Liu, Fupeng, 2020. "Experimental study on pedestrian behavior in a mixed crowd of individuals and groups," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    6. Ma, Yi & Yuen, Richard Kwok Kit & Lee, Eric Wai Ming, 2016. "Effective leadership for crowd evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 333-341.

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