Proposing a Benchmark Based on Vehicle Collision Data in Racial Profiling Research

Abstract

Estimating the racial and ethnic proportions within a constantly changing population of drivers is difficult. Commonly called benchmarks, these estimates are the basis upon which researchers determine the potential for racial profiling. Most benchmarks do not consider the effect driving frequency has on exposure to routine police supervision. Furthermore, racial profiling research has a tendency to focus on overrepresentation at the expense of underrepresentation. This research demonstrates the use of a benchmark based on vehicle collision data. Benchmarks based on these data are more valid and reliable and enable researchers to consider driving frequency and the potential for disengagement.