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Analysis of Eunpyeong New Town Land Price Using Geographically Weighted Regression
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 Title & Authors
Analysis of Eunpyeong New Town Land Price Using Geographically Weighted Regression
Jung, Hyo-jin; Lee, Jiyeong;
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Newtown Business of Seoul had been performed to reduce deterioration of Gangbuk and economic inequality between Gangnam and Gangbuk. According to this, Eunpyeong-gu was set as test-bed for Newtown business and Newtown business had been completed until 2013. This study aims to analyze the influence of social and economical factors which affect land price using GWR (Geographically Weighted Regression) considered spatial effect. As a result of analysis, GWR model demonstrated a better goodness-of-fit than OLS (Ordinary least square) model typically used in most study. Furthermore, AIC value and Moran's I of residual prove that GWR model is more suitable than OLS model. GWR model enable to explain more detailed than global regression model as coefficient and sign show different value locally. In future, this research will be helpful to develop Eunpyeong-gu considering spatial characters and strength effectiveness of development.
Eunpyeong Newtown;Newtown Projects;Land Value;Geographically Weighted Regression;
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