Abstract

Predictive Policing Model for Redlands, CA
Track: Law Enforcement and Criminal Justice
Authors: Richard Bonagofsky

Retrospective crime mapping has been a part of law enforcement initiatives for over 30 years, allowing for police departments to create rudimentary hotspot maps to predict crime. Since the turn of the millennium, agencies have been to step away from these practices in an effort to build models and tools within a geographic information system that serve to predict crime more accurately than existing maps. The following project report will look at the usage of risk terrain modeling to create a more accurate predictive policing tool for use by the City of Redlands, California. Risk terrain modeling goes beyond standard hotspot mapping in that it looks at many factors that can lead to criminal activity over a given geography. The eventual aim of this project will be to limit specifically targeted criminal activities, including commercial and residential burglary, personal theft, and vehicular burglary/theft.