Data-Informed and Place-Based Violent Crime Prevention: The Kansas City, Missouri Risk-Based Policing Initiative

Abstract

The Kansas City, Missouri Police Department sought to reduce violent crime with an evidence-based approach to problem analysis and intervention planning. Informed by hot spot analysis and risk terrain modeling, police and their community partners implemented a place-based crime intervention program focused on key attractors and generators of the environmental backcloth. Target and comparison areas were selected for an outcome evaluation. During the 1-year program time period, violent crimes decreased significantly by over 22%. There was both a significant spatial diffusion of benefits and significantly fewer police officer-initiated actions resulting in arrests or citations. Crime prevention was achieved without an abundance of law enforcement actions against people located at the target areas. Implications for policy and practice are discussed within the contexts of police responses to urgent crime problems and data analytics.