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复杂的灾害应对框架,以降低城市灾害脆弱性。

Complex disaster response framework to reduce urban disaster vulnerability.

机构信息

Department of Computer Science and Engineering, 26729Chung-Ang University, Seoul, Korea.

Disaster Prevention Research Division, National Disaster Management Research Institute, Ulsan, Korea.

出版信息

Sci Prog. 2023 Jan-Mar;106(1):368504231152770. doi: 10.1177/00368504231152770.

DOI:10.1177/00368504231152770
PMID:36691679
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10450331/
Abstract

Cities are vulnerable to a range of disasters that can occur simultaneously due to their complexity. Therefore, an effective disaster response plan is needed to reduce the disaster vulnerability of cities. In particular, evacuation route management is important for reducing the losses from a disaster. Efficient disaster response can be realized by searching for suitable evacuation routes and effective road network management. In this paper, we propose a disaster response framework based on a multilayered road network structure and evacuation routes based on our road network. The suggested road structure consists of three layers for the effective management of the network. An A* algorithm-based search for multiple evacuation routes under different conditions in response to an individual disaster on the configured road map provides a safe route for evacuees. As a result, the damage caused by disasters in urban areas can be ameliorated.

摘要

城市由于其复杂性,容易受到各种灾害的影响,因此需要制定有效的灾害应对计划来降低城市的灾害脆弱性。特别是,疏散路线管理对于减少灾害损失非常重要。通过搜索合适的疏散路线和有效的道路网络管理,可以实现高效的灾害应对。在本文中,我们提出了一个基于多层道路网络结构和疏散路线的灾害应对框架,该框架基于我们的道路网络。所提出的道路结构由三层组成,用于有效管理网络。在配置的道路图上,针对个别灾害的不同情况下,基于 A*算法搜索多条疏散路线,为疏散人员提供安全的路线。因此,可以减轻城市地区灾害造成的损失。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2059/10450331/561a89d20fd1/10.1177_00368504231152770-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2059/10450331/d3cc65dc22f2/10.1177_00368504231152770-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2059/10450331/24ad8ac5752b/10.1177_00368504231152770-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2059/10450331/f7999ecb76d1/10.1177_00368504231152770-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2059/10450331/b14613c83a83/10.1177_00368504231152770-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2059/10450331/ae6d02a5604d/10.1177_00368504231152770-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2059/10450331/734e229ece6f/10.1177_00368504231152770-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2059/10450331/561a89d20fd1/10.1177_00368504231152770-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2059/10450331/d3cc65dc22f2/10.1177_00368504231152770-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2059/10450331/24ad8ac5752b/10.1177_00368504231152770-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2059/10450331/f7999ecb76d1/10.1177_00368504231152770-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2059/10450331/b14613c83a83/10.1177_00368504231152770-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2059/10450331/ae6d02a5604d/10.1177_00368504231152770-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2059/10450331/734e229ece6f/10.1177_00368504231152770-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2059/10450331/561a89d20fd1/10.1177_00368504231152770-fig7.jpg

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本文引用的文献

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Sci Prog. 2021 Sep;104(3_suppl):368504211063258. doi: 10.1177/00368504211063258.
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Robust optimization approach to emergency mobile facility routing.
稳健优化方法在应急移动设施路径规划中的应用。
Sci Prog. 2021 Jan-Mar;104(1):36850420982685. doi: 10.1177/0036850420982685.
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Environ Res. 2020 Sep;188:109822. doi: 10.1016/j.envres.2020.109822. Epub 2020 Jun 24.
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Risk Anal. 2021 Jul;41(7):1078-1086. doi: 10.1111/risa.13303. Epub 2019 Mar 18.