광역-기초-생활권을 연계한 경기도 농촌공간 다층적 유형화 모델 개발 = Development of a Multi-scale Rural Space Typology Model Integrating Regional-Municipal-Living Sphere Levels: The Case of Gyeonggi Province

다국어 초록 (Multilingual Abstract)

This study was conducted to enhance the effectiveness of rural spatial planning under the Rural Spatial Restructuring and Regeneration Act. Rural areas in Gyeonggi Province, in particular, are characterized by the expansion of the metropolitan area, rapid urbanization, the unique characteristics of border regions, and the complex interactions between tourism and agriculture.
Therefore, analysis at the city/county level alone cannot explain regional heterogeneity. This study utilizes a multidimensional approach that combines policy and project analysis, text analysis, and quantitative data analysis to propose a spatial classification model that simultaneously reflects regional consistency and the detailed characteristics of townships and villages within cities and counties. Analysis of project policies revealed that cities and counties pursue diverse development goals, including agricultural revitalization, tourism, urbanization response, and industrial infrastructure expansion. Text analysis extracted keywords related to agriculture, tourism, urbanization, and development potential to quantitatively identify differences in living areas at the town/county level. Quantitative data clustering analysis identified four factors—industrial economy, rural infrastructure, tourism and environment, and residential accessibility—and compared the functional characteristics of each town/county. Finally, by synthesizing the results of three analyses (policy and business analysis, text analysis, and quantitative cluster analysis), we classified rural areas in Gyeonggi Province into five regions (port-urban area, metropolitan residential area, peace-tourism area, leisure-recreation area, and high-tech agriculture-urban area), which were further subdivided into eight spatial types. This study is unique in that it proposes an integrated regional classification model that reflects policy context, resident perception, and objective indicators, moving beyond the fragmented approaches of existing studies. 1)