Risk-Based Policing

Evidence-Based Crime Prevention with Big Data and Spatial Analytics

Nonfiction, Social & Cultural Studies, Social Science, Human Geography, Crimes & Criminals, Criminology
Cover of the book Risk-Based Policing by Leslie W. Kennedy, Joel M. Caplan, Eric L. Piza, University of California Press
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Author: Leslie W. Kennedy, Joel M. Caplan, Eric L. Piza ISBN: 9780520968349
Publisher: University of California Press Publication: November 20, 2018
Imprint: University of California Press Language: English
Author: Leslie W. Kennedy, Joel M. Caplan, Eric L. Piza
ISBN: 9780520968349
Publisher: University of California Press
Publication: November 20, 2018
Imprint: University of California Press
Language: English

Risk-based policing is a research advancement that improves public safety, and its applications prevent crime specifically by managing crime risks. In Risk-Based Policing, the authors analyze case studies from a variety of city agencies including Atlantic City, New Jersey; Colorado Springs, Colorado; Glendale, Arizona; Kansas City, Missouri; Newark, New Jersey; and others. They demonstrate how focusing police resources on risky places and basing police work on smart uses of data can address the worst effects of disorder and crime while improving community relations and public safety. 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. The book also demonstrates how risk terrain modeling can be extended to provide a comprehensive view of prevention and deterrence.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Risk-based policing is a research advancement that improves public safety, and its applications prevent crime specifically by managing crime risks. In Risk-Based Policing, the authors analyze case studies from a variety of city agencies including Atlantic City, New Jersey; Colorado Springs, Colorado; Glendale, Arizona; Kansas City, Missouri; Newark, New Jersey; and others. They demonstrate how focusing police resources on risky places and basing police work on smart uses of data can address the worst effects of disorder and crime while improving community relations and public safety. 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. The book also demonstrates how risk terrain modeling can be extended to provide a comprehensive view of prevention and deterrence.

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