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Yearly Archives: 2016
Apartment buildings on arterials in Chicago
There has been a large amount of infill residential construction in Chicago in recent years despite the city’s static or declining population. Most of this building has occurred in prosperous neighborhoods on the North Side or close to downtown. “Urbanist” observers have … Continue reading
Neighborhood types in Chicago, 2010
The maps below present a classification of Chicago’s residential census tracts based on multivariate analysis. This approach (sometimes called social area analysis or factorial ecology in geography and sociology) is often used to classify small areas in cities. The ten neighborhood types identified … Continue reading
The extreme high density of the central portions of the New York area
Sprawl supporters like Wendell Cox and Robert Bruegmann (and many other writers) have gleefully pointed out the Census Bureau’s somewhat counterintuitive claim that the Los Angeles urban area is denser than New York’s. Anyone familiar with Los Angeles and New York would understand that … Continue reading
Expedition to Kenosha
I had lived in Chicago for thirty years, and I like trains, but I’d never gone and taken a look at the Chicago area’s only streetcar line, in Kenosha, Wisconsin. So I set out one Sunday afternoon on Chicago’s suburban … Continue reading
Delhi Metro
Delhi has added more rail transit in the 21st century than any other city outside of East Asia. Although the first line did not open until 2002, there are now 190 route kilometers and 2.4 million riders a day. Among … Continue reading
Posted in Pedestrian infrastructure, Rail infrastructure, Transportation, Urban
Tagged Delhi
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Trysys
TRYSYS is a descendent of the BCTRY program, which was developed by Robert C. Tryon at Berkeley during the 1960s. See Cluster Analysis by Robert C. Tryon and Daniel E. Bailey (New York : McGraw-Hill, 1970). There are many other … Continue reading
Posted in Urban
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Social area analysis
Social area analysis essentially involves a statistical procedure to identify from a sometimes quite large database of socio-economic data the most salient underlying variables. Very often most of the variance in a group of dozens of variables can be accounted … Continue reading
Posted in Urban
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34 variables
Here is a list of variables used in the analysis of neighborhood types in Chicago, 2010. Variable name Description DENS_PSQKM population per square kilometer PERSPHOUS persons per household PCTAFAM percent non-Hispanic African-American/black PCTASPAC percent non-Hispanic Asian/Pacific PCTHISP percent Hispanic/Latino PCT_LT18 … Continue reading
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T-scores
T-scores are standardized scores on each dimension for each type. A score of 50 represents the mean. A difference of 10 from the mean indicates a difference of one standard deviation. Thus, a score of 60 is one standard deviation … Continue reading
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Neighborhood types, 2010
In the statistical study of neighborhoods in Chicago, 2010, cluster analysis of the three dimensions underlying the 34 variables yielded ten neighborhood types. For each neighborhood type, the following list includes: [a] the neighborhood-type number; [b] the T-scores on the three dimensions; … Continue reading
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