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Scenario-Based Multi-Objective Optimum Allocation Model for Earthquake Emergency Shelters Using a Modified Particle Swarm Optimization Algorithm: A Case Study in Chaoyang District, Beijing, China

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  • Xiujuan Zhao
  • Wei Xu
  • Yunjia Ma
  • Fuyu Hu

Abstract

The correct location of earthquake emergency shelters and their allocation to residents can effectively reduce the number of casualties by providing safe havens and efficient evacuation routes during the chaotic period of the unfolding disaster. However, diverse and strict constraints and the discrete feasible domain of the required models make the problem of shelter location and allocation more difficult. A number of models have been developed to solve this problem, but there are still large differences between the models and the actual situation because the characteristics of the evacuees and the construction costs of the shelters have been excessively simplified. We report here the development of a multi-objective model for the allocation of residents to earthquake shelters by considering these factors using the Chaoyang district, Beijing, China as a case study. The two objectives of this model were to minimize the total weighted evacuation time from residential areas to a specified shelter and to minimize the total area of all the shelters. The two constraints were the shelter capacity and the service radius. Three scenarios were considered to estimate the number of people who would need to be evacuated. The particle swarm optimization algorithm was first modified by applying the von Neumann structure in former loops and global structure in later loops, and then used to solve this problem. The results show that increasing the shelter area can result in a large decrease in the total weighted evacuation time from scheme 1 to scheme 9 in scenario A, from scheme 1 to scheme 9 in scenario B, from scheme 1 to scheme 19 in scenario C. If the funding were not a limitation, then the final schemes of each scenario are the best solutions, otherwise the earlier schemes are more reasonable. The modified model proved to be useful for the optimization of shelter allocation, and the result can be used as a scientific reference for planning shelters in the Chaoyang district, Beijing.

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  • Xiujuan Zhao & Wei Xu & Yunjia Ma & Fuyu Hu, 2015. "Scenario-Based Multi-Objective Optimum Allocation Model for Earthquake Emergency Shelters Using a Modified Particle Swarm Optimization Algorithm: A Case Study in Chaoyang District, Beijing, China," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-16, December.
    • Handle: RePEc:plo:pone00:0144455
    DOI: 10.1371/journal.pone.0144455
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    References listed on IDEAS

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    1. Yunjia Ma & Wei Xu & Lianjie Qin & Xiujuan Zhao, 2019. "Site Selection Models in Natural Disaster Shelters: A Review," Sustainability, MDPI, vol. 11(2), pages 1-24, January.
    2. Xiujuan Zhao & Peng Du & Jianguo Chen & Dapeng Yu & Wei Xu & Shiyan Lou & Hongyong Yuan & Kuai Peng Ip, 2020. "A Typhoon Shelter Selection and Evacuee Allocation Model: A Case Study of Macao (SAR), China," Sustainability, MDPI, vol. 12(8), pages 1-13, April.
    3. Haoran Zhang & Xuan Song & Xiaoya Song & Dou Huang & Ning Xu & Ryosuke Shibasaki & Yongtu Liang, 2019. "Ex-ante online risk assessment for building emergency evacuation through multimedia data," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-14, April.

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