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Friday, April 6 • 3:30pm - 4:00pm
FR3.30.34 Linking Walkability with Racial Diversity: Metro Atlanta Case 2000 – 2013

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Walkability has been getting a significant support from public agencies, academia, and civic societies, resulting in numerous initiatives to promote walkability. With growing popularity, however, there is an increasing danger that many walkable neighborhoods are becoming unaffordable and potentially socially exclusive. Because social dimensions of the impact of walkability have been less investigated, how this trend translates into social outcomes is less clear. Taking metro Atlanta region between 2000 and 2013 as a study site, we attempt to fill this gap by examining the relationship between walkability and racial diversity in cross-sectional as well longitudinal analysis. We measured racial diversity using entropy index at census tract level, which was regressed on walkability index while controlling for other socioeconomic and land use characteristics likely to influence racial diversity. Socioeconomic characteristics data were obtained from US Census and the Longitudinal Tract Data Base, and other land use characteristics were calculated using GIS. To address the significant spatial autocorrelation detected in racial diversity variables and the residuals of Ordinary Least Square models, the spatial regression models were used. After adjusting for control variables, the cross-sectional results indicate a strong positive association between walkability and racial diversity in both 2000 and 2013. The longitudinal model also suggests that high walkability in 2000 is a significant predictor of an increase in racial diversity between 2000 and 2013.

Bonwoo Koo, Georgia Institute of Technology; Nisha Botchwey, Georgia Institute of Technology; Subhrajit Guhathakurta, Georgia Institute of Technology

Friday April 6, 2018 3:30pm - 4:00pm EDT
Provincial Ballroom (2nd Floor)