고령자 생활인구 기반 근린생활시설의 분포에 따른 고령자 주택의 근린생활공간 - 고령자의 사회적 참여 확대와 지역사회 활성화를 중심으로 -

Abstract

As the baby boomer generation reaches age 65, older adults increasingly prefer to live in urban areas. Community spaces in senior housing are becoming important to support active aging, and they are likely to become a neighborhood amenity, helping to increase the social participation of older residents and activate the local community. Therefore, the aim of this study is to analyze the distribution of facilities in the neighborhood according to the temporal patterns of the elderly based on the Bigdata of the de facto population in order to propose efficient community spaces. The analysis was conducted in two main steps: 1) K-means clustering to classify the types of elderly time series patterns, 2) One-way ANOVA, to analyze the distribution of facilities in the neighborhood according to the types of time series patterns. The result was that the de facto population of elderly people was classified into 5 types according to time and region, and the characteristics of the distribution of facilities were different for each type. Therefore, it is necessary to provide housing for the elderly that reduces housing costs and integrates with the local community by considering the different characteristics of the elderly and the resources of the local community.