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A Local Multidimensional Approach to Evaluate Changes in Segregation
Abstract:This paper demonstrates a local approach to assess changes in segregation at the neighborhood scale. Many studies on segregation change were conducted at a regional or city scale using a single measure. This approach is not sufficient to document the process of neighborhood change, and using one measure can reflect only a single dimension of multifaceted segregation. In this article, several local measures related to two segregation dimensions are utilized to compare segregation levels between the three census years of 1980, 1990, and 2000. Using Buffalo, New York, as the case study, I show that the local approach is effective in depicting the varying levels of segregation within a city for a given year as well as changes in neighborhood segregation levels over time. Overall, the local multidimensional approach offers an effective way of identifying neighborhood demographic transformation and detecting varied trajectories of neighborhood change across a metropolitan area.
Keywords:local segregation  composite population counts  evenness  exposure  clustering
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