서울시 골목상권 가로환경 특성과 유동인구의 연관성 분석 : COVID-19 전후 비교를 중심으로 = Analysis of the Relationship between Street Environment and Pedestrian Flow in Alley Commercial Districts in Seoul, Korea : Focusing on the Comparison before and after COVID-19

국문 초록 (Abstract)

본 연구는 상권 내 사람들의실제 방문 및 체류 수준을 반영하는 유동인구를 상권 방문 빈도와활동성을 나타내는 지표로 설정하여(Lee and Cho, 2025), 서울시 골목상권의 가로경관, 교통, 상권 등을 정량적으로 분석하고팬데믹 전후 가로환경이 유동인구에 미친 영향과 변화를 파악하고자 한다.
구체적으로 첫째, COVID-19 팬데믹 전·후 서울시 골목상권유동인구 변화 특징을 파악하고자 한다. 둘째, 서울시 골목상권의 가로환경 특성을 정량적으로 분석하고 각 요소가 유동인구에미치는 영향을 파악하고자 한다. 마지막으로, 팬데믹 전·후 두 시점 간 이러한 영향력을 비교·분석함으로써 상권의 지속 가능성을위한 전략을 제안하고자 한다.

다국어 초록 (Multilingual Abstract)

This study analyzes the impact of streetscape characteristics on the floating population of alley commercial districts in Seoul and provides policy implications for their revitalization. Urban vitality is a key factor in assessing people’s satisfaction and quality of life within urban areas and is closely related to commercial districts. Research interest in alley commercial districts has grown as experiential value becomes increasingly central to their vitality. Streetscape characteristics play a critical role in producing it, shaping the unique atmosphere of each district and attracting visitors. This study examines the influence of streetscape characteristics on floating population in 2019 and 2024, before and after the COVID-19 pandemic. Street View Images(SVI) were collected and analyzed using semantic segmentation to quantitatively assess changes in streetscape. Additionally, Social media posts were crawled and counted to track trends in commercial district popularity, operationalized as media influence. Average floating population data was used to measure pedestrian flow. Socio-economic indicators are included to evaluate their impact on floating population. The findings reveal that pedestrian flow polarization among districts intensified from 2019 to 2024, and that the effect of streetscape characteristics on visitor inflow differed before and after the COVID-19 pandemic. Furthermore, the study emphasizes the importance of promptly identifying evolving streetscape features, such as public transportation access, business types, and streetscape design to support the sustainability of commercial districts. Media influence was also found to affect floating population, and small-scale businesses in residential areas contributed to increased floating population and economic activity, while also posing potential risks of gentrification. This study contributes to existing research by incorporating computer vision techniques for a quantitative analysis of commercial districts, going beyond traditional indicators such as sales revenue and store counts. The findings provide valuable insights for sustainable urban planning, commercial district revitalization, and policy development.