빅데이터를 활용한 서울시 주거지역 내 소비매출액 변화 및 영향요인 분석

Big Data-Based Analysis of Consumption changes and Influencing Factors in Residential Area in Seoul: Before and after the COVID-19 outbreak

With the outbreak of COVID-19, human activities and consumption behavior have changed, and as a result, consumption space has also changed. Therefore, the purpose of this study is to empirically identify whether the impact of consumption sales varies depending on the characteristics of each region by utilizing the difference in consumption sales in Seoul, which is spotlighted as a consumption space due to the outbreak of COVID-19. As a result of the analysis, areas with large numbers of bus stops and traditional markets and areas with a high industry diversity index had a small impact on consumption sales due to COVID-19. On the other hand, it was found that areas with many residents of the youth and the elderly, small businesses, developmental commercial districts, and teaching institutes were hit hard. This study suggests that when establishing a support policy for small business owners due to the outbreak of COVID-19, a support policy should be established in consideration of the characteristics of the background area such as the size of the business and the resident population.