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Emergency Evacuation Simulation and Management Optimization in Urban Residential Communities

Author

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  • Hao Chu

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

  • Jia Yu

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

  • Jiahong Wen

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

  • Min Yi

    (Shanghai Environmental Monitoring Center, Shanghai 200233, China)

  • Yun Chen

    (CSIRO Land and Water, Canberra 2601, Australia)

Abstract

Timely and secure evacuation of residents in communities is of great importance during unexpected disasters or emergency events. This study proposes a framework of evacuation simulation for optimizing emergency management in urban residential communities. Compared to traditional methods, the advantage of our framework lies in three aspects: (1) The method highlights easy-crowded areas in both indoor and outdoor evacuations. (2) Family behaviors are considered and implemented in evacuations. (3) Detailed measures on management optimization are spatially mapped based on a multi-level analysis and the comparison of evacuation simulation results in different scenarios. A case study in Changhongfang residential community, Xuhui District, Shanghai, China, was conducted to demonstrate the method feasibility. Simulation results have exposed potential evacuation problems in the community. A series of detailed recommended measures have been generated. These measures can help to create better emergency management for the community.

Suggested Citation

  • Hao Chu & Jia Yu & Jiahong Wen & Min Yi & Yun Chen, 2019. "Emergency Evacuation Simulation and Management Optimization in Urban Residential Communities," Sustainability, MDPI, vol. 11(3), pages 1-25, February.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:795-:d:203180
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    References listed on IDEAS

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    2. Isobe, Motoshige & Adachi, Taku & Nagatani, Takashi, 2004. "Experiment and simulation of pedestrian counter flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(3), pages 638-650.
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    Cited by:

    1. Ștefan Ionescu & Ionuț Nica & Nora Chiriță, 2021. "Cybernetics Approach Using Agent-Based Modeling in the Process of Evacuating Educational Institutions in Case of Disasters," Sustainability, MDPI, vol. 13(18), pages 1-29, September.
    2. Tomoki Tanaka & Yuki Matsuda & Manato Fujimoto & Hirohiko Suwa & Keiichi Yasumoto, 2021. "Evacuation Shelter Decision Method Considering Non-Cooperative Evacuee Behavior to Support the Disaster Weak," Sustainability, MDPI, vol. 13(9), pages 1-21, May.
    3. Jiaxu Zhou & Xiaohu Jia & Guoqiang Xu & Junhan Jia & Rihan Hai & Chongsen Gao & Shuo Zhang, 2019. "The Relationship between Different Types of Alarm Sounds and Children’s Perceived Risk Based on Their Physiological Responses," IJERPH, MDPI, vol. 16(24), pages 1-17, December.
    4. Zhiqiang Wang & Jing Huang & Huimin Wang & Jinle Kang & Weiwei Cao, 2020. "Analysis of Flood Evacuation Process in Vulnerable Community with Mutual Aid Mechanism: An Agent-Based Simulation Framework," IJERPH, MDPI, vol. 17(2), pages 1-21, January.
    5. Jiayan Chen & Jia Yu & Jiahong Wen & Chuanrong Zhang & Zhan’e Yin & Jianping Wu & Shenjun Yao, 2019. "Pre-evacuation Time Estimation Based Emergency Evacuation Simulation in Urban Residential Communities," IJERPH, MDPI, vol. 16(23), pages 1-25, November.
    6. Shuang Liu & Rui Liu & Nengzhi Tan, 2021. "A Spatial Improved-kNN-Based Flood Inundation Risk Framework for Urban Tourism under Two Rainfall Scenarios," Sustainability, MDPI, vol. 13(5), pages 1-18, March.

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