Analyzing Spatial-Temporal Patterns of Racial Disparities of Police Vehicle Stops in Cincinnati

Lin Liu, University of Cincinnati
John E. Eck, University of Cincinnati
Lisa Growette Bostaph, Boise State University

This paper aims to analyze the spatial-temporal patterns of police vehicle stops in Cincinnati, with a specific focus on the disparities of stops among different racial groups. Individual stops are aggregated to street segments, police reporting areas and neighborhoods for analysis. Three different base rates are used in the calculation of racial disparity index: the driging population, the geographically weighted driving population, and estimated drivers on individual street segments based on a traffic model. The temporal comparisons of the stops are made between day and night, rush hours and non-rush hours. Prelimiunary analysis indicates that racial disparities, including both over and under represntations of minorities, vary significantly over space. These disparities may be related to factors such as the need for police service, characteristics of the location, characteristics of the neighborhood, characteristics of the vehicle, in addition to the characteristics of the driver. A multivariate model is used to test the significance of these relations. Finally, the results and conclusions of these analyses are presented in this papaer.

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Updated 05/20/2006