공간회귀모델을 적용한 지역주민 연령과 도시공간구조 패턴 상관성 연구

• 영문명: Correlation between the Age of Residents and Urban Spatial Structure Patterns by Applying Spatial Regression Model: Focused on the Average Age of Asan and Cheonan Residents
• 발행기관: 한국주거환경학회
• 저자명: 정상훈(Jeong, Sang Hoon) 이상조(Lee, Sang Jo) 신상화(Shin, Sang Hwa) 정재우(Chung, Jae Woo)
• 간행물 정보: 『주거환경(한국주거환경학회논문집)』住居環境 제19권 제3호 (통권 제53호), 83~96쪽, 전체 14쪽
• 주제분류: 사회과학 > 지역개발
• 파일형태: PDF
• 발행일자: 2021.09.30

영문 초록

In this study, the correlation between the average age of residents and the characteristics of urban spatial structure such as demographic change, number of wholesale and retail workers, number of manufacturing workers, ratio of small houses, ratio of old buildings, and area of development projects in Asan and Cheonan was investigated. For the purpose, spatial autocorrelation and spatial lag model were applied. The increase in the area of various development projects such as industrial complex and housing estate construction had the effect of lowering the average age of the local population. The increase in the ratio of old buildings and small houses has a positive(+) and negative(-) effect on average age, respectively. The average age of residents is high in areas with a high proportion of manufacturing workers and wholesale and retail workers. The average age of the residents is decreasing in regions where the population is increasing. The average age of a local resident was found to be highly spatially dependent on the surrounding area. The value of the spatial lag variable(Rho), which shows the influence of surrounding regions on the average age of one region, was 0.471, statistically confirming that the average age was spatially clustered.

목차

Ⅰ. 서론

Ⅱ. 관련 이론과 선행연구 검토

Ⅲ. 분석의 범위 및 방법

Ⅳ. 분석 결과

Ⅴ. 결론

키워드

평균연령 인구 분포 공간적 자기상관 공간회귀모델 공간 인접성 Average Age Population Distribution Spatial Autocorrelation Spatial Regression Model Spatial Contiguity