{"title":"The Impacts of Urban Sprawl on the Commuting Patterns of the Metropolitan Regions in Korea","authors":"Nayoung Ryu, Insu Hong","doi":"10.16879/JKCA.2020.20.3.073","DOIUrl":null,"url":null,"abstract":"The purpose of this paper is to analyze the impacts of urban sprawl on the commuting patterns of the Metropolitan Regions in Korea. Sprawl related indexes and socio-economic metrics as explanatory variables and commuting patterns using a privately-owned car (Model 1) and public transportation (Model 2) as dependent variables construct two OLS models. Spatial regression models and GWR models reflecting spatial dependence and/or spatial heterogeneity are also executed to investigate the relationship between urban sprawl and commuting patterns. The results are as follows. First, the goodness-of-fit of both models improve from OLS to spatial regression and GWR. Second, density among sprawl indexes is strongly significant related with commuting patterns. Street accessibility in Model 1 and land use mix in Model 2 are slightly related with commuting patterns in specific regions. Third, GWR models show significant socio-economic variables in certain regions which are not detected in OLS or spatial regression models.","PeriodicalId":132041,"journal":{"name":"Journal of the Korean Cartographic Association","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Korean Cartographic Association","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.16879/JKCA.2020.20.3.073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The purpose of this paper is to analyze the impacts of urban sprawl on the commuting patterns of the Metropolitan Regions in Korea. Sprawl related indexes and socio-economic metrics as explanatory variables and commuting patterns using a privately-owned car (Model 1) and public transportation (Model 2) as dependent variables construct two OLS models. Spatial regression models and GWR models reflecting spatial dependence and/or spatial heterogeneity are also executed to investigate the relationship between urban sprawl and commuting patterns. The results are as follows. First, the goodness-of-fit of both models improve from OLS to spatial regression and GWR. Second, density among sprawl indexes is strongly significant related with commuting patterns. Street accessibility in Model 1 and land use mix in Model 2 are slightly related with commuting patterns in specific regions. Third, GWR models show significant socio-economic variables in certain regions which are not detected in OLS or spatial regression models.