Journal ArticleDOI
A Multi-Scale Analysis of 27,000 Urban Street Networks
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TLDR
In this paper, the authors used the OSMnx software to automatically download and analyze 27,000 US street networks from OpenStreetMap at metropolitan, municipal, and neighborhood scales.Abstract:
OpenStreetMap offers a valuable source of worldwide geospatial data useful to urban researchers. This study uses the OSMnx software to automatically download and analyze 27,000 US street networks from OpenStreetMap at metropolitan, municipal, and neighborhood scales - namely, every US city and town, census urbanized area, and Zillow-defined neighborhood. It presents empirical findings on US urban form and street network characteristics, emphasizing measures relevant to graph theory, transportation, urban design, and morphology such as structure, connectedness, density, centrality, and resilience. In the past, street network data acquisition and processing have been challenging and ad hoc. This study illustrates the use of OSMnx and OpenStreetMap to consistently conduct street network analysis with extremely large sample sizes, with clearly defined network definitions and extents for reproducibility, and using nonplanar, directed graphs. These street networks and measures data have been shared in a public repository for other researchers to use.read more
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Journal ArticleDOI
OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks
TL;DR: In this paper, the authors present OSMnx, a new tool to make the collection of data and creation and analysis of street networks simple, consistent, automatable and sound from the perspectives of graph theory, transportation, and urban design.
Journal ArticleDOI
OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks
TL;DR: OSMnx is presented, a new tool to make the collection of data and creation and analysis of street networks simple, consistent, automatable and sound from the perspectives of graph theory, transportation, and urban design.
Journal ArticleDOI
Application of Complex Networks Theory in Urban Traffic Network Researches
Rui Ding,Norsidah Ujang,Hussain Hamid,Mohd Shahrudin Abd Manan,Rong Li,Safwan Subhi Mousa Albadareen,Ashkan Nochian,Jianjun Wu +7 more
TL;DR: This paper reviews complex network theory related knowledge and discusses its applications in urban traffic network studies in several directions, which includes network representation methods, topological and geographical related studies, network communities mining, network robustness and vulnerability, big-data-based research, network optimization, co-evolution research and multilayer network theoryrelated studies.
Book ChapterDOI
An Urban Morphogenesis Model Capturing Interactions Between Networks and Territories
TL;DR: In this article, a generative model of urban growth at a mesoscopic scale is proposed, where population is distributed following a preferential attachment depending on a potential controlled by the local urban form (density, distance to network) and network measures (centralities and generalized accessibilities).
Posted Content
Robustness of urban road networks based on spatial topological patterns
TL;DR: The spatial distributions of several topological centrality measures are analyzed and it is observed that centrality-based strategies are more effective than randomly- based strategies in disconnecting the network.