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The Changes of Urban Structure and Commuting: An Application to Metropolitan Statistical Areas in the United States

机译:城市结构的变化和通勤:在美国大都会统计区的应用

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摘要

While urban structures have been delineated at the regional level, few works have explored the impact of urban structures on commuting at this same level. This article studies how urban structures affect commuting from 2000 to 2010. It applies a spatial statistical tool, standard deviation ellipses, to capture spatial patterns of jobs and residential workers for metropolitan statistical areas (MSAs). Two urban structure indexes are constructed to illustrate different decentralization levels of employment with reference to the distribution of residential workers; one illustrates the spatial decentralization of high job density nodes, while the other shows the spatial decentralization of moderate job density nodes. Commuting times of two modes by private cars and public transit are analyzed along with the number of commuters. The results highlight three findings: (1) MSAs become more compact in terms of employment distribution, (2) more decentralized high-density nodes lead to less total commuting times, and on the other hand, more decentralized moderate job density nodes contribute to longer commuting times, and (3) the decentralization of high job density nodes is associated with less commuting time of private cars, while they have insignificant effect on commuting time of public transit.
机译:虽然在区域一级划定了城市结构,但很少有人探索在相同水平上城市结构对通勤的影响。本文研究了2000年至2010年间城市结构如何影响通勤。它应用了空间统计工具(标准差椭圆)来捕获大都市统计区(MSA)的工作和居住工人的空间格局。构建了两个城市结构指数,以参考居住工人的分布来说明就业的分散化程度。一个说明高工作密度节点的空间分散,而另一个说明中工作密度节点的空间分散。分析了私家车和公共交通两种方式的通勤时间以及通勤人数。结果突出了三个发现:(1)MSA在就业分布方面变得更紧凑;(2)更多分散的高密度节点导致更少的总通勤时间;另一方面,分散的中等工作密度节点有助于更长的通勤时间通勤时间;(3)高工作密度节点的分散与私家车的通勤时间较少相关,而它们对公共交通的通勤时间影响不大。

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