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Investigation of the Spatial Relation between the Disadvantaged Minority and Disaster Prevention by Spatial Autocorrelation and Network Analyst - a Case Study of Flooding
The disadvantaged people has increased annually due to the population aging and M-shaped society. Although the names of the disadvantaged were tabulated and their conditions were studied, their cluster distribution remained unclear. Therefore, this research collected the minimal statistical zone (MSZ) data from Department of Statistics, Ministry of Interior, which involves 4 groups of the disadvantaged such as the elders, children, disabled, and low-income households. Banqiao District, Zhonghe District, and Yonghe District in New Taipei City, were chosen as study area and the above data were analyzed via spatial autocorrelation to identify the cluster distribution, i.e. spatial hot spots, and overlay with 24hr-450mm flooding potential map to understand the distribution of the disadvantaged minority and number of MSZs affected by inundation.Disaster prevention was usually assessed by buffer zones analysis and Thiessen polygons method without considering the traffic congestion. This study employed the service area analysis of network analyst and set the standard radius of 500m and 1000m for the disaster prevention. Whether the service area of 49 shelters for flooding fully covers the cluster of the disadvantaged minority is investigated via service area analysis and discussion given upon the necessity of adding new shelters if coverage is not complete and the appropriateness of disaster prevention to the disadvantaged minority. In general, this research expected to provides suggestions of improving shelters distribution for the local government in order to not only enhance the capability of preventing and avoiding disaster but also reduce casualties and losses.
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