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All figures (10)
Table 1. Central tendency and statistical dispersion for selected measures of all US urbanized areas’ street networks: is the mean, is the standard deviation, and D is the dispersion index 2 .
Figure 3. The linear relationship between total street length and number of nodes in the street networks of every US urbanized area, city/town, and Zillow neighborhood.
Table 5. Central tendency and statistical dispersion for selected measures of all the neighborhood-scale street networks: is the mean, is the standard deviation, and D is the dispersion index 2 .
Figure 1. Intersection density and average streets per node per urbanized area in the contiguous US.
Table 3. Central tendency and statistical dispersion for selected measures of all incorporated cities and towns in the US: is the mean, is the standard deviation, and D is the dispersion index 2 .
Figure 4. Contiguous US states by median of mean streets per node and by median of mean street segment length in municipal street networks.
Table 4. Median values, aggregated by state plus DC, of selected measures of the municipal-scale street networks for every city and town in the US.
Figure 2. Distribution of node types in 9 urbanized areas, with number of streets emanating from the node on the x-axis and proportion of nodes of this type on the y-axis.
Table 2. Selected measures of the 30 largest (by land area) urbanized areas’ street networks.
Figure 5. Square-mile comparisons of central cities and their suburbs. Left: top, downtown Philadelphia, PA; bottom, its suburb, King of Prussia. Middle: top, downtown Portland, OR; bottom, its suburb, Beaverton. Right: top, downtown San Francisco, CA; bottom, its suburb, Concord.
Journal Article
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DOI
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A Multi-Scale Analysis of 27,000 Urban Street Networks: Every US City, Town, Urbanized Area, and Zillow Neighborhood
[...]
Geoff Boeing
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Institutions (1)
University of California, Berkeley
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29 Mar 2017
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arXiv: Social and Information Networks