가로경관 및 보행환경에 따른 소매입지 변화 특성 분석 : 성수동 음식점을 중심으로

초록

The commoditization of space today has shifted consumer preferences and consumption behavior, drawing attention to restaurants located on the outskirts of central commercial districts or on side streets. Consumer behavior is influenced by physical stimulation, and a well-designed service environment can attract potential consumers, making streetscape and walkability important factors for the location of commercial facilities. Therefore, this study aims to spatially examine the shifts in the opening and location patterns of restaurants and analyze the influencing factors by period. In particular, the study analyzes changes in the pedestrian environment using Naver Street View (NSV) images. Streetscape characteristics were developed through semantic segmentation and a deep learning model using the Place Pulse 2.0 dataset. The findings revealed that restaurants in Seongsu-dong initially selected streets based on physical proximity at the early stages of commercial district growth. However, as the district entered a phase of expansion, they gravitated toward streets with high street connectivity, visual elements such as enclosure, and enhanced streetscape quality such as aesthetics. These results suggest that over time, streetscape characteristics have become more important than classical location factors in determining restaurant locations.

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