Abstract

Currently, the number of human casualties and damages is continuously increasing owing to increases in the daily maximum temperature and number of heat wave days caused by climate change. Therefore, considering the class vulnerable to heat waves and setting standards for the vulnerable class expected to suffer substantial damage are essential. Therefore, in terms of time and space, this study selected heatwave-vulnerable areas according to the heatwave vulnerability index, targeting cities, counties, and districts nationwide from 2010 to 2018, and performed spatial analysis using Moran's I spatial autocorrelation analysis and LISA cluster map analysis. proceeded. The spatial correlation between socially vulnerable living and activity areas and the heat wave risk area was confirmed, and the area of environmental negativity for applying an extreme heat shelter policy was derived.

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