美国城市的功能和形态

IF 7.1 1区 地球科学 Q1 ENVIRONMENTAL STUDIES
Sandro M. Reia , Taylor Anderson , Henrique F. de Arruda , Kuldip S. Atwal , Shiyang Ruan , Hamdi Kavak , Dieter Pfoser
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引用次数: 0

摘要

城市形态和功能之间的关系是一个复杂的挑战,可以从多个角度来审视。在这项研究中,我们提出了一种方法,通过分析从2017年全国家庭旅行调查中提取的旅行模式来表征美国大都市区的城市功能。为了描述城市形态,我们采用了捕捉路网拓扑结构的措施。我们根据形式和功能对城市进行集群,然后对这些集群进行比较。我们对美国52个大都市区的分析确定了7个不同的城市群,这些城市群表现出相似的出行行为,表明不同的出行模式可以有效地归为几个普遍的类别。观察到的城市功能集群和城市形式集群之间的差异表明,美国的旅行行为不受城市物理基础设施的强烈影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Function and form of U.S. cities
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. 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.
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来源期刊
CiteScore
13.30
自引率
7.40%
发文量
111
审稿时长
32 days
期刊介绍: Computers, Environment and Urban Systemsis an interdisciplinary journal publishing cutting-edge and innovative computer-based research on environmental and urban systems, that privileges the geospatial perspective. The journal welcomes original high quality scholarship of a theoretical, applied or technological nature, and provides a stimulating presentation of perspectives, research developments, overviews of important new technologies and uses of major computational, information-based, and visualization innovations. Applied and theoretical contributions demonstrate the scope of computer-based analysis fostering a better understanding of environmental and urban systems, their spatial scope and their dynamics.
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