빅데이터를 활용한 고령층 활동 공간 패턴 및 특성 분석 : 청장년층과 비교를 중심으로 (Analysis of Activity Space Patterns and Characteristics of the Elderly Population Using Big Data : Focusing on the Comparison with the Young Population)

서지정보

· 발행기관 : 대한국토·도시계획학회
· 수록지 정보 : 국토계획 / 57권 / 3호 / 161 ~ 173페이지
· 저자명 : 이지윤, 강정은

초록

본 연구는 전체 인구 980만 명(2021년 기준)의 16%인 157 만 명의 고령인구(65세 기준)가 거주하는 대도시 서울시를 대상으로 통신사의 서비스 인구 빅데이터를 활용하여 연령대별 주간 인구의 활동공간 분포 패턴을 살펴보고자 한다. 또한 연령대별주간 활동공간의 군집을 기반으로 고령층(60대, 70대 이상)의 활동공간과 타 연령층의 활동공간 군집을 비교하고, 이러한 공간군집 유형에 영향을 미치는 요인들을 살펴보고자 한다.

영어초록

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.

참고자료

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