A multi-scale analysis of 27,000 urban street networks: Every US city, town, urbanized area, and Zillow neighborhood
A multi-scale analysis of 27,000 urban street networks: Every US city, town, urbanized area, and Zillow neighborhood
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DOI：
10.1177/2399808318784595
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发表时间：
2020-05-01
影响因子：
3.5
通讯作者：
Boeing, Geoff
中科院分区：
文献类型：
--
作者：
Boeing, Geoff
OpenStreetMap为城市研究人员提供了一个有价值的全球地理空间数据来源。本研究使用OSMnx软件自动下载并分析来自OpenStreetMap的27,000个美国城市、市政和社区规模的街道网络，即每个美国城镇、人口普查城市化地区和zillow定义的社区。它展示了美国城市形态和街道网络特征的实证研究结果，强调了与图论、交通、城市设计和形态（如结构、连通性、密度、中心性和弹性）相关的措施。过去，街道网络数据的采集和处理具有挑战性和即时性。本研究说明了使用OSMnx和OpenStreetMap来一致地进行街道网络分析，样本量非常大，具有明确定义的网络定义和可重复性范围，并使用非平面有向图。这些街道网络和测量数据已经在一个公共存储库中共享，供其他研究人员使用。
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.