머신러닝 기반 가중합산기법을 활용한 지역소멸 위기 대응 방안: 경남 지역 관광 역량 진단 및 축제 활성화 분석

초록

Regional festivals serve as crucial means to promote local identity and stimulate regional economies. However, previous studies have mainly relied on satisfaction surveys or single case analyses, which limited cross-regional comparison and the identification of structural improvements. To address these gaps, this study systematizes regional festival performance into quantitative indicators and conducts comparative analysis across 18 cities and counties in Gyeongsangnam-do. Four key domains—accessibility, purchasing power, infrastructure, and sociocultural factors—were established, and machine learning–based weighting, spatial, and cluster analyses were applied. By comparing results with population-declining areas, the study diagnoses weaknesses in tourism infrastructure and proposes tailored strategies for festival enhancement and regional tourism revitalization.

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