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A Ship Fire Escape Speed Correction Method Considering the Influence of Crowd Interaction

Author

Listed:
  • Jingyuan Li

    (School of Navigation and Shipping, Shandong Jiaotong University, Weihai 264209, China)

  • Weile Liu

    (School of Navigation and Shipping, Shandong Jiaotong University, Weihai 264209, China)

  • Fangwei Zhang

    (School of Navigation and Shipping, Shandong Jiaotong University, Weihai 264209, China
    College of Transport and Communications, Shanghai Maritime University, Shanghai 201306, China)

  • Taiyang Li

    (School of Navigation and Shipping, Shandong Jiaotong University, Weihai 264209, China)

  • Rui Wang

    (School of Navigation and Shipping, Shandong Jiaotong University, Weihai 264209, China)

Abstract

The aim of this study is to explore the effect of different personnel attributes and the relationship between different people on evacuation efficiency in the case of a passenger ship fire. As such, this study proposes a speed correction method that considers human attributes and interactions between different populations. Firstly, a hesitant fuzzy set and hesitant fuzzy average operator are adopted to quantify four kinds of personnel attributes. Secondly, considering the influence of different people, this study extracts the formula for acceleration under the interactive influence of different groups of people. At the same time, based on the first-order linear relationship between velocity and acceleration, an interactive velocity correction method is presented in the evacuation of ship personnel. Finally, this study uses the personnel evacuation simulation software Pathfinder to conduct experiments, and introduces the corrected speed and the uncorrected speed into the evacuation simulation process, respectively. The results show that the simulation results of the revised speed plan are more consistent with reality.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:15:p:2749-:d:879297
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    References listed on IDEAS

    as
    1. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    2. Dian Sun & Lupeng Zhang & Zifeng Su, 2020. "Evacuate or Stay? A Typhoon Evacuation Decision Model in China Based on the Evolutionary Game Theory in Complex Networks," IJERPH, MDPI, vol. 17(3), pages 1-17, January.
    3. Liu Jia & Chen Yun, 2014. "Simulation on Staffs Evacuation Behavior in Plant Fire Emergencies," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(4), pages 527-536, July.
    4. 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.
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    Cited by:

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