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城市应急避难所资源选择与配置:多灾种环境下的研究

Urban Resources Selection and Allocation for Emergency Shelters: In a Multi-Hazard Environment.

机构信息

School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210046, China.

School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China.

出版信息

Int J Environ Res Public Health. 2018 Jun 14;15(6):1261. doi: 10.3390/ijerph15061261.

DOI:10.3390/ijerph15061261
PMID:29903997
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6025408/
Abstract

This study explores how emergency shelters can adapt to a multi-hazard environment by geographic information system (GIS) and takes Guangzhou as a case for analysis. The physical suitability of the overall urban resources was first assessed by aiming to select the suitable resources and safe locations for emergency shelters in the context of multiple disasters. Afterward, by analyzing the scale and spatial distribution of affected areas and populations under different types of disaster scenarios, the demand for different kinds of shelters were predicted. Lastly, taking into account the coverage of the affected people, shelters were allocated according to different conditions in the districts. This work will hopefully provide a reference for the construction of emergency shelters and help form emergency operations in order to mitigate the impact of hazards. The issues identified in the study need to be further studied in medium or small-scale cities.

摘要

本研究通过地理信息系统(GIS)探讨了应急避难所在多灾害环境下的适应方式,并以广州为例进行了分析。首先,通过评估整体城市资源的物理适宜性,旨在为多灾害背景下的应急避难所选择合适的资源和安全地点。然后,通过分析不同灾害情景下受灾区域和人口的规模和空间分布,预测了不同类型避难所的需求。最后,考虑到受灾人群的覆盖范围,根据不同地区的条件进行避难所的分配。本研究希望能为应急避难所的建设提供参考,帮助制定应急预案,以减轻灾害的影响。本研究中发现的问题需要在中、小城市中进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da8b/6025408/870acd9cba14/ijerph-15-01261-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da8b/6025408/c379ffe73161/ijerph-15-01261-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da8b/6025408/c30327f43163/ijerph-15-01261-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da8b/6025408/b59b5951f31e/ijerph-15-01261-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da8b/6025408/1ad617ed6b2a/ijerph-15-01261-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da8b/6025408/b7a35b8803ff/ijerph-15-01261-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da8b/6025408/4a2a0fb691a6/ijerph-15-01261-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da8b/6025408/9a05d75984a6/ijerph-15-01261-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da8b/6025408/870acd9cba14/ijerph-15-01261-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da8b/6025408/c379ffe73161/ijerph-15-01261-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da8b/6025408/c30327f43163/ijerph-15-01261-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da8b/6025408/b59b5951f31e/ijerph-15-01261-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da8b/6025408/1ad617ed6b2a/ijerph-15-01261-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da8b/6025408/b7a35b8803ff/ijerph-15-01261-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da8b/6025408/4a2a0fb691a6/ijerph-15-01261-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da8b/6025408/9a05d75984a6/ijerph-15-01261-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da8b/6025408/870acd9cba14/ijerph-15-01261-g008.jpg

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