Across the country, police traffic stops are touted as a tool for improving road safety—but not all stops are equal in impact. From DUI enforcement to minor equipment violations, the behaviors targeted vary widely, and so do their impacts on traffic safety.
In response to growing concerns about policing practices, many jurisdictions have created detailed police stop databases. These rich data sources were primarily designed to examine demographic disparities—but what if they could also help us better understand and prevent serious and fatal crashes?

In this webinar, SafeTREC’s Liza Lutzker will share research using the confidential version of California’s police stop database, which includes stop narratives and locations. As the first research team with access to this data, we’re developing innovative methods to categorize stops by traffic safety relevance—helping us answer a critical question: Are traffic stops aligned with the behaviors that actually cause the most harm on our roads? Join us to explore how these datasets can be repurposed for traffic safety research, what insights they offer, and where their limitations lie.

Click here to register. https://unm.zoom.us/webinar/register/WN_-8MquH_rSmK8Iayvw-xujQ#/registration