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2024 Vol.24, Issue 1 Preview Page

Research Article

30 April 2024. pp. 19~32
Abstract
This paper aims to analyze the relationship between urban sprawl and commuting patterns in Seoul Metropolitan Region. Sprawl indexes calculated in previous studies and major indicators representing socioeconomic characteristics are used as explanatory variables. Average driving time during commuting (Model 1) and the ratio of commuters taking public transportation (Model 2) are used as dependent variables. Those variables construct two regression models. Compared to OLS models, the explanatory power and goodness of fit of two models were overall improved in GWR models. Density among explanatory variables is most significant related with commuting patterns. GWR models identify significant exploratory variables in such regions which are not revealed in OLS models.
본 연구는 서울광역도시권에서 나타나는 도시 스프롤과 통근 패턴간에 어떤 관계가 있는지 분석하는 것을 목적으로 한다. 선행 연구에서 산출된 스프롤 지수들과 사회경제적 특성을 나타내는 주요 지표들을 설명변수로 하고, 자가용 통근시 평균 운전 시간과 대중교통이용 통근자 비율을 종속변수로 하여 두 가지의 회귀모형을 구성하였다. OLS 분석에 비해 GWR 분석에서 모형의 설명력과 적합도가 개선되었으며, 설명변수 중 밀도의 영향력이 가장 큰 것으로 나타났다. 또한 GWR 분석에 의해 전역적 모형에서는 유의하지 않았으나 국지적으로는 유의하게 나타나는 다양한 설명변수들을 확인할 수 있었다.
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Information
  • Publisher :The Korean Cartographic Association
  • Publisher(Ko) :한국지도학회
  • Journal Title :Journal of the Korean Cartographic Association
  • Journal Title(Ko) :한국지도학회지
  • Volume : 24
  • No :1
  • Pages :19~32