빅데이터를 활용한 코로나19 이후 전국의 유동인구 및 매출액 변화 분석

Change Analysis of Floating Population and Sales after COVID-19 using Big Data

This study analyzed the relationship between the occurrence of COVID-19 and urban space density at the city level across the country, and suggested the direction of future urban policy by referring to the population and economic activities in the city due to COVID-19. In this regard, the research results are summarized as follows. First, the 10 places with a large number of confirmed cases compared to the density of the population are mountainous areas at the county level (Gangwon-gun, Yeoncheon-gun, Bonghwa-gun, and Cheongdo-gun, Gyeongsangbuk-do), and are mass-infected areas for specific facilities such as military units and nursing facilities. Second, in the case of floating population and sales, the rate of decrease is high in metropolitan cities with high population size and population density. It can be seen that the outbreak of COVID-19 affects the floating population and sales in large cities with high population density. In large cities, the decrease in floating population and sales was large due to the direct impact of COVID-19, while in small and medium-sized local cities, the decrease in floating population and sales was smaller than in large cities. Third, various research results explain the relationship between population density and infectious diseases, and in Korea, it was analyzed that the correlation between population density in administrative districts and urban areas and the number of confirmed cases would not be statistically significant. In 2020, some regional specificities such as group infection were reflected, so the correlation with density is low, but in 2021, it is necessary to analyze the relationship with density in more depth due to the nationwide spread. This study is meaningful as a basic study that can be used as basic data to present new directions for carbon-neutral urban planning, that is, urban policy, to cope with disasters and climate change in the future.