파크골프장의 효율적 관리를 위한 군집 기반 유형화 연구

Abstract

This study conducted a comprehensive analysis of the multi-dimensional characteristics of park golf courses across South Korea to establish a typology system and provide a foundation for tailored management and policy development. A total of 424 park golf courses were analyzed using data provided by the Korea Park Golf Association. The variables considered included climate favorability (based on the Korea Tourism Climate Index, K-TCI), surrounding environmental features (such as proximity to rivers, parks, and land cover types), accessibility indicators (population density and age structure), and facility size (number of holes). The 12 K-TCI indicators were reduced to three principal components—Peak Season Comfort, Winter Limitation, Summer Polarization—through Logratio Principal Component Analysis (log ratio PCA), which explained 88.2% of the cumulative variance. These three components, along with six additional variables, were integrated into a Gaussian Mixture Model (GMM)-based cluster analysis. Based on the Bayesian Information Criterion (BIC), six distinct clusters were identified, each representing a unique typological group of park golf courses.