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Evacuation dynamics with smoking diffusion in three dimension based on an extended Floor-Field model

Author

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  • Zheng, Ying
  • Li, Xingang
  • Zhu, Nuo
  • Jia, Bin
  • Jiang, Rui

Abstract

This paper proposes an extended Floor-Field (FF) model to study the pedestrian evacuation dynamics under the influence of smoke diffusing in three-dimension (3D). In addition to static and dynamic fields, the extended model adopts the smoke and herding fields to reflect pedestrian’s smoke-avoiding behavior and herding behavior. The impact of smoke on pedestrians’ health is also considered. The smoke will reduce the pedestrians’ health point and finally impact their moving ability. Numerical simulations were carried out to study the evacuation dynamics. The influence of the smoke particles producing rate, the initial health point, the critical smoke concentration value, and the herding field on evacuation dynamics were analyzed in detail. Those results could bring some guidance to make the evacuation strategy in the smoke diffusing environment.

Suggested Citation

  • Zheng, Ying & Li, Xingang & Zhu, Nuo & Jia, Bin & Jiang, Rui, 2018. "Evacuation dynamics with smoking diffusion in three dimension based on an extended Floor-Field model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 414-426.
    • Handle: RePEc:eee:phsmap:v:507:y:2018:i:c:p:414-426
    DOI: 10.1016/j.physa.2018.05.020
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    References listed on IDEAS

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    Cited by:

    1. Lee, Minhyuck & Lee, Jaeyoung & Jun, Chulmin, 2021. "An extended floor field model considering the spread of fire and detour behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 577(C).
    2. Zheng, Linjiang & Peng, Xiaoli & Wang, Linglin & Sun, Dihua, 2019. "Simulation of pedestrian evacuation considering emergency spread and pedestrian panic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 167-181.
    3. Tamang, Nutthavuth & Sun, Yi, 2023. "Application of the dynamic Monte Carlo method to pedestrian evacuation dynamics," Applied Mathematics and Computation, Elsevier, vol. 445(C).
    4. Huo, Feizhou & Li, Chao & Li, Yufei & Lv, Wei & Ma, Yaping, 2022. "An extended model for describing pedestrian evacuation considering the impact of obstacles on the visual view," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    5. Geng, Zhongfei & Li, Xingli & Kuang, Hua & Bai, Xuecen & Fan, Yanhong, 2019. "Effect of uncertain information on pedestrian dynamics under adverse sight conditions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 681-691.
    6. Gao, Jin & He, Jun & Gong, Jinghai, 2020. "A simplified method to provide evacuation guidance in a multi-exit building under emergency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    7. Liu, Jing & Jia, Yang & Mao, Tianlu & Wang, Zhaoqi, 2022. "Modeling and simulation analysis of crowd evacuation behavior under terrorist attack," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    8. Yu, Rongfu & Mao, Qinghua & Lv, Jian, 2022. "An extended model for crowd evacuation considering rescue behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).

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