doi: 10.22885/KRDA.2022.34.5.35 Citation BibTeX RIS Mendeley

Characterizing regions based on visit, stay, and settlements population using mobile phone big data

체류-방문-정주 인구 특성 기반 지역 유형화 연구: 이동통신 빅데이터 분석을 중심으로

• 안소현 (국토연구원)
• 이재현 (경북대학교)

Various efforts such as the influx of external visitors through tourism development, development of stay-type tourism to increase the visitor’s stay time, and provision of opportunities for staying experience for local migration, have been put in place mainly by local governments that are facing regional crisis due to population decline and local extinction. The frame of visit-stay-settlement was established based upon the framework of policy projects such as influx of visitors from the region, increase of stay time, and provision of opportunities to experience stay for migration. In this frame, we use a latent class cluster analysis to group 250 local governments across the country with visit-stay-settlement attributes, they were classified into four latent class clusters. In addition, the associations between the the four clusters and the local visit-stay-settlement conditions and tourism conditions were investigated with step-3 approach in latent class analysis. The results indicate each cluster is differently associated with different types of local visit-stay-settlement and tourism conditions. This implies that local governments having different mixture of external visitors requires to establish different countermeasures or policies to prevent local extinction.