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arXiv 2406.04543physics.soc-ph
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美国城市的功能与形态

Function and form of U.S. cities

Sandro M. Reia, Taylor Anderson, Henrique F. Arruda, Kuldip S. Atwal, Shiyang Ruan, Hamdi Kavak, Dieter Pfoser

AI总结:

本文基于2017年NHTS出行数据和道路网络拓扑,对美国52个大都市区分别进行功能与形态聚类,发现两者聚类结果差异明显,表明美国出行行为受物理基础设施影响较弱。

摘要:

城市形态与功能之间的关系是一个复杂的挑战,可以从多个视角加以审视。在本研究中,我们提出了一种方法,通过分析从2017年全国家庭出行调查(NHTS)中提取的出行模式,来刻画美国大都市区的城市功能。为了刻画城市形态,我们采用了能够捕捉道路网络拓扑结构的度量指标。我们分别基于功能和形态对城市进行聚类,并随后对这些聚类结果进行比较。我们对52个美国大都市区的分析识别出7个具有相似出行行为的城市聚类,这表明多样化的出行模式可以被有效地归纳为少数几个通用类别。城市功能聚类与城市形态聚类之间观察到的差异表明,美国的出行行为并未受到城市物理基础设施的强烈影响。

英文摘要:

The relationship between urban form and function is a complex challenge that can be examined from multiple perspectives. In this study, we propose a method to characterize the urban function of U.S. metropolitan areas by analyzing trip patterns extracted from the 2017 National Household Travel Survey (NHTS). To characterize urban form, we employ measures that capture road network topology. We cluster cities based on both form and function and subsequently compare these clusters. Our analysis of 52 U.S. metropolitan areas identifies 7 distinct clusters of cities that exhibit similar travel behavior, suggesting that diverse mobility patterns can be effectively grouped into a few universal classes. The observed disparity between the urban-function clustering and the urban-form clustering suggests that travel behavior in the U.S. is not strongly influenced by the physical infrastructure of the city.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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