Emergency Evacuation Simulation and Management Optimization in Urban Residential Communities

Hao Chu, Jia Yu, Jiahong Wen, Min Yi and Yun Chen
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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

Sustainability, 2019, vol. 11, issue 3, 1-25

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.

Keywords: emergency evacuation; residential communities; emergency management optimization; GIS (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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