Includes bibliographical references (pages 137-148) and index.
Contents:
Part 1: The basic principles of risk-based policing. Introduction to risk and Big Data ; The evolution of modern policing ; Policing in the new era of public safety and law enforcement ; Risk-based policing and ACTION -- Part 2: Methods and case studies of risk-based policing. The theory of risky places ; High-risk target areas and priority places ; The role of police in risk-based policing: case studies of Colorado Springs, Glendale, Newark, and Kansas City ; Facilitators and impediments to designing, implementing, and evaluating risk-based policing strategies: insights from completed researcher-practitioner partnerships ; The roles of multiple stakeholders in risk-based policing: case studies of Jersey City and Atlantic City ; People make risk-based policing and data actionable.
Summary:
"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"-- Provided by publisher.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.