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Modeling the effect of visibility on upstairs crowd evacuation by a stochastic FFCA model with finer discretization

Author

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  • Liu, Rong
  • Fu, Zhijian
  • Schadschneider, Andreas
  • Wen, Qiuping
  • Chen, Junmin
  • Liu, Shaobo

Abstract

In recent years, deep underground buildings appear more often than ever, and stairs are the main facilities for the upward evacuation of crowds from these buildings. As one of the most essential factors, the visibility might play a dominant role in the upward evacuation on stairs. To ensure the safety of the crowd in underground spaces, a finer discrete and stochastic floor field cellular automaton (FFCA) model integrating the visibility influence is established for the simulation of the crowd upward evacuation from a 21-storey staircase. By comparison, the simulation fits well with the observation and experiment, which implies that the model captures the main features of upward evacuations on stairs. Then, from the predicted results, it is found that the visibility reduction has a significant negative impact on the temporal–spatial distribution of pedestrians, especially on the inflow and outflow, while the entrance flow rate shows little impact as long as it is higher than 1.0 ped⋅m−1⋅s−1.

Suggested Citation

  • Liu, Rong & Fu, Zhijian & Schadschneider, Andreas & Wen, Qiuping & Chen, Junmin & Liu, Shaobo, 2019. "Modeling the effect of visibility on upstairs crowd evacuation by a stochastic FFCA model with finer discretization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
  • Handle: RePEc:eee:phsmap:v:531:y:2019:i:c:s037843711930980x
    DOI: 10.1016/j.physa.2019.121723
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    Citations

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    Cited by:

    1. Huang, Qi & Qin, Tianyu & Luo, Lin & Yang, Gaobo & Fu, Zhijian & Liu, Xiaobo, 2024. "Modeling heterogenous crowd evacuation on stairs in high-rise buildings using a fine discrete floor field cellular automaton model: Accounting for speed and boundary layer variations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 639(C).
    2. Zhao, Ruifeng & Zhai, Yue & Qu, Lu & Wang, Ruhao & Huang, Yaoying & Dong, Qi, 2021. "A continuous floor field cellular automata model with interaction area for crowd evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 575(C).
    3. Huang, Rong & Zhao, Xuan & Yuan, Yufei & Yu, Qiang & Zhou, Chenyu & Daamen, Winnie, 2021. "Experimental study on evacuation behaviour of passengers in a high-deck coach: A Chinese case study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 579(C).
    4. Deng, Fangwei & Wang, Jinghui & Li, Di & Lv, Wei & Fang, Zhiming, 2024. "Development of a three-stage hierarchical model for quick calculating stair evacuation time of high-rise building coupled with simulation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 640(C).
    5. Bao, Yu & Huo, Feizhou, 2021. "An agent-based model for staircase evacuation considering agent’s rotational behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    6. Xie, Chuan-Zhi & Tang, Tie-Qiao & Hu, Peng-Cheng & Chen, Liang, 2022. "Observation and cellular-automaton based modeling of pedestrian behavior on an escalator," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    7. Petr Kubera & Jiří Felcman, 2021. "On the Verification of the Pedestrian Evacuation Model," Mathematics, MDPI, vol. 9(13), pages 1-23, June.
    8. Fu, Zhijian & Xiong, Xingwen & Luo, Lin & Yang, Yunjia & Feng, Yujing & Chen, Hua, 2022. "Influence of rotation on pedestrian flow considering bipedal features: Modeling using a fine discrete floor field cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).

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