인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
This study empirically examines the spatial distribution patterns of unmanned stores in Seoul, Korea, and the urban spatial factors associated with their density at the administrative dong level. Despite the rapid proliferation of unmanned stores, driven by rising labor costs, advances in AI technology, and the expansion of platform-based retail, empirical research on their urban spatial patterns remains limited. Herein, a dataset of 8,649 unmanned stores across 20 business types was compiled through a three-stage process of brand identification, data collection, and deduplication, using Kakao Map API, National Geographic Information Institute POI data, Fair Trade Commission franchise records, and municipal licensing data. Three analytical approaches were employed at the administrative dong level: local Moran’s I LISA cluster analysis to identify spatial clustering patterns of unmanned and manned stores by business type, spatial regression models to examine urban spatial factors associated with store density, and hierarchical cluster analysis to classify business types by their spatial distribution characteristics. Results indicate that unmanned stores tend to cluster in outer Seoul and residential areas rather than in commercial cores or areas with a high number of nearby subway stations; this is in contrast with the concentration patterns of manned stores. Unmanned store density is positively associated with night- time de facto population density and negatively with commercial district area proportions. The clustering results group business types into neighborhood-serving, commercial core, and demand-externality types, with convenience stores, cafes, and photo studios falling into different types depending on whether they are unmanned or manned. These findings call for commercial management policies that extend beyond fixed commercial boundaries and account for the complementary role of unmanned stores within the broader urban retail landscape.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
