서울시 활동 인구의 공간적 분포 특성과 연령 혼합도 영향 요인 분석: 카드 소비 데이터를 중심으로Analysis of Spatial Distrbution Characteristics and Influencing Factors of Age Diversity in Seoul's Active Population: Focused on Card Consumption Data
- Other Titles
- Analysis of Spatial Distrbution Characteristics and Influencing Factors of Age Diversity in Seoul's Active Population: Focused on Card Consumption Data
- Authors
- 김나연; 이수기
- Issue Date
- Feb-2026
- Publisher
- 대한국토·도시계획학회
- Keywords
- 연령 혼합도; 소비자 행동; 상업 업종 혼합; 연령 친화도시; 카드 소비 데이터; Age Diversity; Consumer Behavior; Commercial Use Mix; Age-Friendly City; Card Consumption Data
- Citation
- 국토계획, v.61, no.1, pp 142 - 160
- Pages
- 19
- Indexed
- KCI
- Journal Title
- 국토계획
- Volume
- 61
- Number
- 1
- Start Page
- 142
- End Page
- 160
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211907
- DOI
- 10.17208/jkpa.2026.02.61.1.142
- ISSN
- 1226-7147
2383-9171
- Abstract
- 본 연구는 다음과 같은 질문을 중심으로 진행된다. 첫째, 도시공간 내에서 다양한 연령대의 소비는 왜 필요한가? 둘째, 소비자의 연령 혼합 패턴이 도시 공간적으로 어떻게 분포하는가? 셋째, 연령 혼합도를 증가시키는 도시환경 요인은 무엇인가? 본 연구는기존 연구에서 다루지 않았던 소비 활동 기반의 연령 혼합도 분석을 통해, 도시공간 내 세대 간 상호작용과 공간적 분포를 정량적으로 분석하고자 한다.
Urban consumption activities take place within spatial environments where various age groups interact, and age
diversity can serve as a key indicator for assessing the inclusivity and sustainability of commercial spaces. This study
aimed to measure the age diverstiy of consumer populations in Seoul using card transaction data and to analyze
the urban spatial factors influencing age diversity. Based on 2023 card transaction data, we calculated age diverstiy
using the Shannon entropy index at a 250-m grid level. We applied a spatial regression model to examine how spatial
characteristics-including business type diversity, land-use mix, and transportation accessibility-affect age diverstiy. The
results showed that areas with a higher diversity of everyday service and retail businesses tended to exhibit significantly
higher age diverstiy, suggesting that such diversity fosters more age-inclusive consumption environments. In contrast,
specialized areas with a concentration of culture and leisure industries showed a negative relationship with age diverstiy,
indicating limited engagement across age groups. Residential characteristics also played a role: areas with mixed housing
types that accommodate multiple generations had higher age diverstiy, whereas dense areas with mixed land uses
(including residential, commercial, and office functions) were more likely to show concentrated consumption among
specific age groups. This paper proposes a methodological framework for measuring age diversity in commercial spaces
and offers policy implications for fostering age-inclusive urban consumption environments.
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