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A Study on the Correlation between City's Built Environment and Residents' Health -A Case study of small and medium-sized cities in korea

지역주민들의 건강에 영향을 미치는 도시특성요소 분석 -한국의 중소도시를 대상으로

  • Lee, Kyung-Hwan (Department of Civil & Environment Engineering, Kongju National University)
  • 이경환 (국립 공주대학교 건설환경공학부 도시.교통전공)
  • Received : 2012.04.18
  • Accepted : 2012.07.12
  • Published : 2012.07.31

Abstract

The purpose of this study is to analyze city's built environment that have influence on residents' health in the 40 small and medium-sized cities. In the study, landuse, urban form and facility accessibility of cities and other socio-demographic variables were used as explanatory variables, and a statistical analysis was carried out by applying multi-level analysis. Analysis shows that a high level of population density lower the obesity, and a high level of landuse-mix have a positive effect on EQ-5D & hypertension. In terms of urban form and facility accessibility, residents show a high level of obesity in an environment where roads are closely connected and access to bus service is bad. Finally, as more access to open space have a positive effect on EQ-5D. Therefore, landuse-mix, access to public transportation and open space should be used for planning factors to make a health improvement plan in cities.

본 연구는 한국의 40개 중소도시를 대상으로 도시의 물리적환경과 주민건강의 상관관계를 분석하는데 목적이 있다. 이를 위해 본 연구에서는 개인의 사회경제적 속성과 함께 도시환경을 토지이용, 도시형태, 시설접근성으로 구분하고 다수준분석을 이용하여 지역주민들의 건강에 영향을 미치는 요인을 분석을 수행하였다. 분석결과 인구밀도가 높을수록 지역주민들의 비만정도가 낮은 것으로 나타났으며 토지이용혼합도가 높을수록 지역주민들의 건강수준이 높고 고혈압 유병률이 낮은 것으로 나타났다. 또한 도로의 연결성이 높고 대중교통접근성이 낮을수록 지역주민들의 비만도가 높아지는 것으로 나타났다. 마지막으로 오픈스페이스에 대한 접근성은 지역주민들의 건강수준(EQ-5D)에 긍정적인 영향을 미치는 것으로 나타났다. 따라서 향후 주민건강 증진을 위한 계획을 수립하는데 있어 토지이용혼합, 대중교통시설 및 오픈스페이스에 대한 접근성 등을 중요한 계획요소로 활용할 필요가 있다.

Keywords

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Cited by

  1. The Relationship between Obesity and Urban Environment in Seoul vol.14, pp.8, 2017, https://doi.org/10.3390/ijerph14080898
  2. Analysis of Spatial Distribution of Hypertension Prevalence and Its Related Factors based on the Model of Social Determinants of Health vol.29, pp.4, 2018, https://doi.org/10.12799/jkachn.2018.29.4.414