빅데이터를 활용한 고령층 활동 공간 패턴 및 특성 분석 : 청장년층과 비교를 중심으로

다국어 초록 (Multilingual Abstract)

The aim of this study is to visualize spatial patterns based on age groups with a focus on Seoul city in light of the changing activity patterns of the elderly population. The regional characteristics of activity spaces occupied by people of different age groups were investigated using the service population big data provided by telecommunication service providers. The analysis was conducted using the hotspot analysis and multinomial logistic regression. The results showed that young and middle-aged people in their 20s to 50s exhibited similar patterns; their patterns differed from those exhibited by persons in their 60s and 70s. The activity space could be divided into areas where activities of all ages converged, and specific age groups (the 20s–50s, 60s, and 70s) were individually clustered. The area where people of all ages frequently visited was the city center, which has excellent accessibility and various amenities. The activity spaces for young and middle-aged people (20s–50s) were business districts. The activity spaces of those in their 60s were similar to those occupied by the 20s–50s, and their living and activity spaces tended to converge gradually. The activity spaces of those in their 70s showed a significantly positive relationship with the residential area of the elderly.