Risk-Based Policing

Evidence-Based Crime Prevention with Big Data and Spatial Analytics

Bibliographic Data

ID19977696
AuthorsLeslie W Kennedy (0000-0003-4256-8772), Joel M Caplan (0000-0003-0668-8208), Eric L Piza (0000-0002-3753-5004)
Year2018
Pages168
Publication date2018-11-20
Open AccessNo
TypeBOOK
VenueRisk-Based Policing (SOURCE_BOOK)
PublisherUniversity of California Press (PUBLISHER • US)
DOI10.1525/9780520968349
OpenAlexW2898544790
Open LibraryOL29795515M
ISBN9780520968349
LanguageEN
Citations received6

"Risk-based policing is the latest advancement in the long history of policing innovations, where research and planning have combined to manage crime risks, prevent crime, and enhance public safety. In Risk-Based Policing the authors share case studies from different agencies to demonstrate how focusing police resources at risky places, based on smart uses of data and strong analytical work, can address the worst effects of disorder and crime while improving public safety and community relations. Topics include the role of big data; the evolution of modern policing; dealing with high-risk targets; designing, implementing, and evaluating risk-based policing strategies; and the role of multiple stakeholders in risk-based policing. Case studies explore cities such as Colorado Springs, Glendale, Newark, Kansas City, and others. The book also demonstrates how Risk Terrain Modeling (RTM) can be extended to offer a more comprehensive view of prevention and deterrence"

Analytics · Big data · Business · Computer security · Crime analysis · Crime prevention · Criminology · Data mining · Data science · Political science · Computer Science · Crime Patterns and Interventions · Psychology · Regulation and Compliance Studies

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