Department of Geography Education, Dongguk University, Seoul 04620, Korea.
Department of Geography, Kyung Hee University, Seoul 02447, Korea.
Int J Environ Res Public Health. 2022 Oct 27;19(21):13995. doi: 10.3390/ijerph192113995.
Today, unpredictable damage can result from extreme weather such as heat waves and floods. This damage makes communities that cannot respond quickly to disasters more vulnerable than cities. Thus, people living in such communities can easily become isolated, which can cause unavoidable loss of life or property. In the meantime, many disaster management studies have been conducted, but studies on effective disaster response for areas surrounded by mountains or with weak transportation infrastructure are very rare. To fill the gap, this research aimed at developing an automated analysis tool that can be directly used for disaster response and recovery by identifying in real time the communities at risk of isolation using a web-based geographic information system (GIS) application. We first developed an algorithm to automatically detect communities at risk of isolation due to disaster. Next, we developed an analytics module to identify buildings and populations within the communities and efficiently place at-risk residents in shelters. In sum, the analysis tool developed in this study can be used to support disaster response decisions regarding, for example, rescue activities and supply of materials by accurately detecting isolated areas when a disaster occurs in a mountainous area where communication and transportation infrastructure is lacking.
如今，极端天气（如热浪和洪水）可能会造成不可预测的破坏。这种破坏使得无法迅速应对灾害的社区比城市更加脆弱。因此，生活在这些社区的人们很容易被孤立，这可能会导致不可避免的生命和财产损失。同时，已经进行了许多灾害管理研究，但对于山区或交通基础设施薄弱地区的有效灾害应对研究却非常罕见。为了填补这一空白，本研究旨在开发一种自动化分析工具，该工具可通过使用基于网络的地理信息系统（GIS）应用程序实时识别有孤立风险的社区，从而直接用于灾害应对和恢复。我们首先开发了一种算法，用于自动检测因灾害而有孤立风险的社区。接下来，我们开发了一个分析模块，用于识别社区内的建筑物和人口，并有效地将有风险的居民安置在避难所中。总之，本研究中开发的分析工具可用于支持灾害应对决策，例如在通信和交通基础设施匮乏的山区发生灾害时，通过准确检测孤立区域，支持救援活动和物资供应。
