지역 관광 활성화를 위한 크라우드소싱 데이터 기반 탐색적 공간분석: K-POP 한류스타 방문 장소를 중심으로

초록

As the Korea Wave(Hallyu) 4.0 era unfolds, the number of foreigners engaging with Korean Wave content has increased. And it leads to a rise in foreign tourists visiting Korea to consume K-POP content. One example of it is Gangnam-gu's K-Star Road, which leverages K-POP stars as a tourism resource from a spatial perspective. However, due to its failure to reflect the latest trend, it has lost its appeal as a tourist destination. Therefore, this study focuses on selecting a new candidate location for K-Star Road by applying exploratory spatial analysis techniques to crowdsourced data reflecting current trends. First, the spatial distribution of agencies managing popular K-POP stars was analyzed using a kernel density function. Next, HDBSCAN, a density-based spatial clustering algorithm, was applied to the crowdsourced data, identifying five areas with a high concentration of K-POP star visits. Finally, socio-economic location factors were incorporated into the results to select the optimal candidate site for the alternative K-Star Road. The systematic analysis process used in this study can be applied to local governments' decision-making in tourism resource development policies, and it is expected to contribute to an increase of foreign tourists and the revitalization of local commercial districts.

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