Faculty Sponsor: Professor Valerie Nazzaro
Live Poster Session: https://wesleyan.zoom.us/j/92724292846
Eugène Duvert
Eugène is a prospective mathematics and computer science double major from Seoul, South Korea. Outside of classes, he is involved in research and enjoys movies, various sports, and traveling.
Abstract: This study examines the relationship between driver race and the likelihood of vehicle searches and extended stop durations in Connecticut traffic stops during 2022, using data from the CT Racial Profiling Prohibition Project. Specifically, it addresses two research questions: (1) Is there a relationship between driver race and whether a vehicle is searched in Connecticut? What about between driver race and whether lengthy stops occur? (2) Does driver sex moderate the relationships above, when controlling for driver age? Bivariate analyses revealed that Black and Hispanic drivers experienced significantly higher search likelihoods and longer stop durations compared to White drivers. Multivariate analyses demonstrated that driver sex moderated these relationships, with male drivers exhibiting higher expected odds of both outcomes across all racial groups. Older drivers had lower expected odds of searches and long stops. These findings provide a basis for further examination of patterns in traffic stop outcomes in Connecticut.
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