장⋅노년층의 정주의식 영향요인 분석: XGBoost 기법의 활용

초록

The purpose of this study is to predict factors that affect the residential consciousness of seniors in their 50s or older living in Busan Metropolitan City and suggest policy implications. For this purpose, the analysis was conducted using machine learning techniques, such as XGBoost and XAI, instead of traditional statistical techniques. According to the analysis results, First, trust in local government and trust in the general public, which are elements of social capital, were found to have an effect on the settlement consciousness. Second, satisfaction with local medical institutions was found to have an effect on the settlement consciousness. Third, the period of residence variable was found to have an effect on the settlement consciousness, but if the residence period was too long, it tended to weaken the sense of settlement. Fourth, the age variable also affected the settlement consciousness, but if the residence period was too long, it tended to weaken the settlement consciousness. It was found that the settlement consciousness was weakening. Based on these research results, it was proposed to build an elderly-friendly physical environment in the local community and expand community care projects centered on the local community.

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