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Spatial Allocation Method of Evacuation Guiders in Urban Open Public Spaces: A Case Study of Binjiang Green Space in Xuhui District, Shanghai, China

Author

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  • Yanyan Niu

    (School of Environmental and Geographical Science, Shanghai Normal University, Shanghai 200234, China)

  • Jia Yu

    (School of Environmental and Geographical Science, Shanghai Normal University, Shanghai 200234, China
    Key Innovation Group of Digital Humanities Resource and Research, Shanghai Normal University, Shanghai 200234, China)

  • Dawei Lu

    (School of Environmental and Geographical Science, Shanghai Normal University, Shanghai 200234, China)

  • Renwu Mu

    (School of Environmental and Geographical Science, Shanghai Normal University, Shanghai 200234, China)

  • Jiahong Wen

    (School of Environmental and Geographical Science, Shanghai Normal University, Shanghai 200234, China)

Abstract

Evacuation guiders play an important role when emergency events occur in urban open public spaces. Considering the shortcomings of the existing studies, an optimization method based on the Particle Swarm Optimization (PSO) algorithm and gradual covering model for spatial allocation of evacuation guiders in urban open public spaces is proposed. This method considers the impact of obstacles on intervisibility between guiders and evacuees, and the non-linear changing characteristics of the evacuation guiding quality based on the distances between guiders and evacuees to optimize the space allocation of evacuation guiders in urban open public spaces. Based on the emergency evacuation simulation, the evacuation efficiencies before and after the optimization of evacuation guider allocation can be compared to verify the validity of the proposed method. Furthermore, in order to improve the applicability of this method, the responsibility areas of the evacuation guiders are zoned according to different time periods. A case study of Binjiang Green Space in Xuhui District, Shanghai, China was conducted to demonstrate the feasibility of the proposed method. The results showed that the spatial allocation of evacuation guiders was highly correlated with the dynamic spatial change of evacuees. The reasonable spatial allocation optimization of evacuation guiders can effectively improve the emergency evacuation quality and reduce evacuation risks. The zoning of the evacuation guiders’ responsibility areas can help to clarify the responsibility area of each guider and provide a daily safety precaution scheme under a limited number of guiders. The method can provide detailed decision support for the security precaution of security staff and emergency evacuation management in urban open public spaces.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12293-:d:927242
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    References listed on IDEAS

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    1. Abdelghany, Ahmed & Abdelghany, Khaled & Mahmassani, Hani & Alhalabi, Wael, 2014. "Modeling framework for optimal evacuation of large-scale crowded pedestrian facilities," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1105-1118.
    2. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    3. Yicheng Yang & Jia Yu & Chenyu Wang & Jiahong Wen, 2022. "Risk Assessment of Crowd-Gathering in Urban Open Public Spaces Supported by Spatio-Temporal Big Data," Sustainability, MDPI, vol. 14(10), pages 1-25, May.
    4. Kirchner, Ansgar & Schadschneider, Andreas, 2002. "Simulation of evacuation processes using a bionics-inspired cellular automaton model for pedestrian dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 312(1), pages 260-276.
    5. 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).
    6. Yang, Xiaoxia & Yang, Xiaoli & Wang, Qianling & Kang, Yuanlei & Pan, Fuquan, 2020. "Guide optimization in pedestrian emergency evacuation," Applied Mathematics and Computation, Elsevier, vol. 365(C).
    7. Urbina, Elba & Wolshon, Brian, 2003. "National review of hurricane evacuation plans and policies: a comparison and contrast of state practices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(3), pages 257-275, March.
    8. Richard L. Church & Kenneth L. Roberts, 1983. "Generalized Coverage Models And Public Facility Location," Papers in Regional Science, Wiley Blackwell, vol. 53(1), pages 117-135, January.
    9. Burstedde, C & Klauck, K & Schadschneider, A & Zittartz, J, 2001. "Simulation of pedestrian dynamics using a two-dimensional cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(3), pages 507-525.
    10. 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.
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