Cold waves are representative complex disasters caused by the combination of climate change and social vulnerability. The damage caused by cold waves is on the rise worldwide, and measures to reduce this damage are urgently needed. Since cold-wave-rel...
Cold waves are representative complex disasters caused by the combination of climate change and social vulnerability. The damage caused by cold waves is on the rise worldwide, and measures to reduce this damage are urgently needed. Since cold-wave-related mortality and illnesses are closely associated with social vulnerability, response measures that account for these factors are required. This study analyzes regional cold-wave impacts using a matrix approach based on minimum temperature and damage indicators. Data on cold-wave-related deaths, illness cases, and minimum temperatures from 17 areas in South Korea over the past decade were examined. The results show that minimum temperatures vary by topographic and climatic characteristics, and that damages are intensified where low temperatures coincide with high social vulnerability. In the mortality–minimum temperature matrix, 8 areas were classified as high-risk, while 9 areas were identified as high-risk in the illness–minimum temperature matrix. To develop tailored policy responses, mitigation factors—including cold shelter density, proportion of the elderly, the proportion of elderly living alone, and basic livelihood recipients —were analyzed in high-risk areas. The findings suggest that cold-wave impacts are shaped by the combined effects of climatic exposure and social vulnerability, highlighting the need for differentiated, area-specific response strategies to reduce cold-related damages.