13.07.2015 Views

The Spatial Concentration of Subsidized Housing - Poverty & Race ...

The Spatial Concentration of Subsidized Housing - Poverty & Race ...

The Spatial Concentration of Subsidized Housing - Poverty & Race ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

with 1,500 to 12,000 the minimum and maximum allowed without exemption from theCensus Bureau (p. 7). While controlling somewhat for population size, the tract areaactually varies considerably between metropolitan areas due to differences in densityand housing stock. <strong>The</strong> authors note that the median tract size in Little Rock is 16.6km 2 which is nearly 80 times the size <strong>of</strong> NYC/White Plains at .21 km 2 (p. 7). “Anobvious consequence <strong>of</strong> linking tract boundaries to population is that the overalldensity <strong>of</strong> a metropolitan area will be negatively related to tract spatial size” (p. 7). Byrelying almost entirely on the census tract to define the scale the authors note that“little has been learned about what predicts segregation at scales different from that <strong>of</strong>the tract (whatever size <strong>of</strong> a tract happens to be), and especially about whether thepredictors <strong>of</strong> micro- and macro-segregation are distinct or the same” (p. 13).Related to geographic scale is the issue <strong>of</strong> density. <strong>Housing</strong> density is animportant concept which is <strong>of</strong>ten overlooked in studies <strong>of</strong> concentrated poverty butwhich can alter the results. Cooke and Marchant (2006) distinguished between centralcities, inner and outer suburbs based on density and age <strong>of</strong> housing rather than usingcensus defined places. Using this method they did not find increased poverty in theinner suburbs in the 1990’s as did other researchers. Grengs (2007) developed amethodology that accounted for open space in calculating neighborhood density. Heapplied this method in Detroit and found an increase in the spatial concentration <strong>of</strong>poverty in the 1990’s that was counter to the results <strong>of</strong> other studies <strong>of</strong> the city during47

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!