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NCJRS Abstract

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NCJ Number: 246804 Find in a Library
Title: Data-Driven Approaches to Crime and Traffic Safety (DDACTS): An Historical Overview
Author(s): Alexander Weiss, Ph.D.
Corporate Author: International Assoc of Directors of Law Enforcement Standards and Training (IADLEST)
United States of America
Date Published: July 2013
Page Count: 30
Sponsoring Agency: Bureau of Justice Assistance
Washington, DC 20531
International Assoc of Directors of Law Enforcement Standards and Training (IADLEST)
Sikesville, MD 21784
National Institute of Justice (NIJ)
Washington, DC 20531
US Dept of Transportation National Highway Traffic Safety Admin
Washington, DC 20590
Grant Number: DTNH22-07-H-00160
Sale Source: US Dept of Transportation National Highway Traffic Safety Admin
1200 New Jersey Avenue, SE
West Building
Washington, DC 20590
United States of America
Document: HTML
Type: Historical Overview; Program/Project Description
Format: Document (Online)
Language: English
Country: United States of America
Annotation: This is an overview of the history and development of enforcement theories underlying the operational model entitled, “Data-Driven Approaches to Crime, and Traffic Safety” (DDACTS).
Abstract: One of the key elements of the DDACTS model is linking the strategy and tactics of traffic enforcement to the prevention of non-traffic crime. Data confirms that the application of high-visibility traffic enforcement is a proven and effective countermeasure that addresses both crime and traffic crashes whether they occur simultaneously or independently in time and/or location. James Q. Wilson - in his 1968 study entitled, “Varieties of Police Behavior” notes that traffic law enforcement not only prevents accident fatalities and injuries, but also provides an opportunity to identify fugitives, stolen merchandise, illegal weapons, and stolen cars. He argues that the more vehicle stops an agency conducts, the more likely it is to identify persons wanted by the police. In confirmation of this argument, Wilson’s and Boland’s study of policing activities and crime in various cities determined that cities with the highest rate of traffic citations per officer (the measure of “patrol aggressiveness”) had the lowest rates of commercial robbery. By 1990, the number of similar studies and associated empirical evidence showed that traffic enforcement impacted crime by detecting offenders traveling to and from crimes and by deterring offenders from using their vehicles in the commission of their crimes. More recent studies have found that the rates of traffic crashes and crime tend to be linked at certain geographic areas. DDACTS integrates data on location-based traffic crashes and crime data as an effective and efficient method for deploying patrols and other resources. 2 tables and 58 references
Main Term(s): Police policies and procedures
Index Term(s): BJA Grant-related Documents; Crime control policies; Crime Mapping; Data collection devices; Data collections; Geographic distribution of crime; NIJ grant-related documents; Police crime-prevention; Problem-Oriented Policing; Traffic law enforcement; Vehicle stops
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