The Impacts of Urban Sprawl on the Commuting Patterns of the Metropolitan Regions in Korea

Nayoung Ryu, Insu Hong
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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.
韩国城市扩张对都市圈通勤模式的影响
本文的目的是分析城市蔓延对韩国首都圈通勤模式的影响。城市扩张相关指标和社会经济指标作为解释变量,以私家车(模型1)和公共交通(模型2)为因变量的通勤模式构建了两个OLS模型。运用空间回归模型和GWR模型对城市蔓延与通勤模式的关系进行了研究。结果如下:首先,两种模型的拟合优度从OLS提高到空间回归和GWR。其次,城市蔓延指数的密度与通勤模式呈极显著相关。模型1中的街道可达性和模型2中的土地利用组合与特定区域的通勤模式略有相关。第三,GWR模型在某些地区显示了显著的社会经济变量,而这些变量在OLS或空间回归模型中没有检测到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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