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Evacuation assistants: An extended model for determining effective locations and optimal numbers

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  • Wang, Xiaolu
  • Zheng, Xiaoping
  • Cheng, Yuan

Abstract

The present research presents an extended evacuation field model for simulating crowd emergency evacuation processes under the control of evacuation assistants. Furthermore, a communication field for describing the escape information transmission process and its effect on evacuees is introduced. The effective locations and optimal numbers of evacuation assistants as generated through the model are proposed in an effort to verify as well as enhance existing models. Results show the following. (1) Locating evacuation assistants near exits reduces the time delay for pre-evacuation. (2) There is an optimal number of evacuation assistants for achieving evacuation efficiency; having excessive numbers of evacuation assistants does not improve the evacuation efficiency, and they may result in evacuation time delay and hinder the evacuation efficiency. (3) As the number of evacuees increases, the number of evacuation assistants needed decreases.

Suggested Citation

  • Wang, Xiaolu & Zheng, Xiaoping & Cheng, Yuan, 2012. "Evacuation assistants: An extended model for determining effective locations and optimal numbers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(6), pages 2245-2260.
    • Handle: RePEc:eee:phsmap:v:391:y:2012:i:6:p:2245-2260
    DOI: 10.1016/j.physa.2011.11.051
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    References listed on IDEAS

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    1. Kirchner, Ansgar & Klüpfel, Hubert & Nishinari, Katsuhiro & Schadschneider, Andreas & Schreckenberg, Michael, 2003. "Simulation of competitive egress behavior: comparison with aircraft evacuation data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(3), pages 689-697.
    2. Zheng, Xiaoping & Li, Wei & Guan, Chao, 2010. "Simulation of evacuation processes in a square with a partition wall using a cellular automaton model for pedestrian dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(11), pages 2177-2188.
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    6. Henein, Colin Marc & White, Tony, 2010. "Microscopic information processing and communication in crowd dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4636-4653.
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    Citations

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    Cited by:

    1. Dong, Shiyu & Huang, Ping & Wang, Wei, 2022. "An optimization method for evacuation guidance under limited visual field," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    2. Yang, Yun & Ma, Changxi & Ling, Gang, 2022. "Pre-location for temporary distribution station of urban emergency materials considering priority under COVID-19: A case study of Wuhan City, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 597(C).
    3. Guo, Wei & Wang, Xiaolu & Liu, Mengting & Cheng, Yuan & Zheng, Xiaoping, 2015. "Modification of the dynamic floor field model by the heterogeneous bosons," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 417(C), pages 358-366.
    4. von Schantz, Anton & Ehtamo, Harri, 2022. "Minimizing the evacuation time of a crowd from a complex building using rescue guides," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
    5. Yanyan Niu & Jia Yu & Dawei Lu & Renwu Mu & Jiahong Wen, 2022. "Spatial Allocation Method of Evacuation Guiders in Urban Open Public Spaces: A Case Study of Binjiang Green Space in Xuhui District, Shanghai, China," IJERPH, MDPI, vol. 19(19), pages 1-25, September.

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