Analysis on the Spatial Relationship between the Residential Area of the Vulnerable Groups and the Hazardous Area during the Heat Wave

Bae, Min-Ki; Kim, Boeun; Yi, Chaeyeon

doi:10.15301/jepa.2020.28.3.243

Cited by 8 publications

(2 citation statements)

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“…In particular, heatwave mortalities occur more frequently among persons aged ≥65 years or in vulnerable classes who lack the economic capability to respond [6]. Regionally, each location is associated with distinct damage risks, even in the same administrative district, due to the large difference in radiant temperature in summer [14]; therefore, a spatial analysis of damage risks is required. According to the Fifth Report of the Intergovernmental Panel on Climate Change (IPCC), heatwave "risk" refers to the degree of impact caused by the interaction among hazard, exposure, and vulnerability, on which the heatwave risk index is based.…”

Section: Introductionmentioning

confidence: 99%

“…However, such data are not available for all districts in South Korea, unlike Seoul, which has well-constructed statistical data and excellent administrative power, and no analyses have been conducted on regions smaller than districts. Bae et al [14] created a heatwave map for census output areas in Cheongju City and analyzed the spatial relationship between heatwave exposure risk levels and the inhabitability of neighborhoods in which vulnerable populations reside, ultimately revealing high vulnerability in the old city center. Spatial analyses at the level of census output areas can produce a detailed map of heatwave risk factors and potential correlated damages, and contribute to establishing practical policies to reduce the heatwave risk.…”

Section: Introductionmentioning

confidence: 99%

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Spatial Relationship between Heat Illness Incidence and Heat Vulnerability in Gurye and Sunchang, South Korea, 2018

Kwon

2023

IJERPH

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Heatwaves, along with their affiliated illnesses and mortalities, are increasing in frequency and severity under climate change. Spatial analyses at the level of census output areas can produce detailed maps of heatwave risk factors and potential correlated damages, thus contributing to practical policies to reduce the risk of heatwave illnesses. This study analyzed the 2018 summer heatwave in Gurye and Sunchang counties in South Korea. To compare damages and analyze the detailed causes of heatwave vulnerability, spatial autocorrelation analyses were conducted, incorporating weather, environmental, personal, and disease factors. Gurye and Sunchang, although similar in demographics and region, exhibited large differences in heatwave damage specifically in the number of heat-related illness cases. In addition, exposure data were constructed at the census output area level by calculating the shadow pattern, sky view factor, and mean radiant temperature, revealing a higher risk in Sunchang. Spatial autocorrelation analyses revealed that the factors most highly correlated with heatwave damage were hazard factors, in the case of Gurye, and vulnerability factors, in the case of Sunchang. Accordingly, it was concluded that regional vulnerability factors were better distinguished at the finer scale of the census output area and when detailed and diversified weather factors were incorporated.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%