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Policing Model Seeks To Reduce Traffic Crashes and Crime

NCJ Number
248397
Date Published
Author(s)
Michele Coppola
Annotation
A policing model that makes a connection between crime and traffic safety is being used in some communities to curb crime and reduce crashes, with promising results.
Abstract
Data-Driven Approaches to Crime and Traffic Safety (DDACTS) is a software that uses analyses of location-based crime and traffic data to facilitate cost-effective deployment of law enforcement resources. DDACTS uses data collection, analysis, and geographic information system (GIS) mapping to identify areas that have a high incidence of crime and traffic crashes. It then uses traffic enforcement strategies that target those areas. The presence of patrol cars in a traffic corridor can make motorists more attentive to their driving, which can reduce traffic crashes and deter would-be criminals traveling those corridors to and from crime scenes. DDACTS is a fluid, flexible type of approach that can be adapted by any law enforcement agency, regardless of size or resources. DDACTS can be a helpful tool as law enforcement agencies face increasing demands with fewer resources. Information is provided on workshops that provide training in using DDACTS.
Date Created: October 6, 2014