Risk-Based Policing: Evidence-Based Crime Prevention with Big Data and Spatial Analytics"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. |
Contents
Introduction to Risk and Big Data | 5 |
The Evolution of Modern Policing | 11 |
Policing in the New Era of Public Safety | 23 |
RiskBased Policing and ACTION | 35 |
METHODS AND CASE STUDIES OF RISKBASED POLICING | 49 |
HighRisk Target Areas and Priority Places | 63 |
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Common terms and phrases
ACPD ACTION meetings Atlantic City Braga calls-for-service Caplan CHAPTER Colorado Springs CompStat contexts convenience stores crime analysts crime count crime incidents crime prevention crime problems crime reduction crime risk criminal justice Criminology CSPD Density and proximity effect environment environmental environmental criminology EVALUATING STRATEGIES evaluation focus focused gun violence high-risk places hot spots identify illegal behavior implementation intervention activities Kansas City KCPD Kennedy law enforcement locations measure micro-level Newark occur offenders outcomes PAI values pattern theory PD-C percent Piza place-based police agencies police departments police leaders police officers policing practices prevent crime priority problem-oriented policing problem-solving Propensity Score Proximity 3 blocks public safety risk assessments risk factors risk governance risk narratives risk reduction strategies risk terrain model risk-based intervention risk-based policing risky places robbery social spatial influences spatial risk stakeholders street segments street units target area tion U.S. Census Bureau Unmatched Weisburd
Bibliographic information
| Title | Risk-Based Policing: Evidence-Based Crime Prevention with Big Data and Spatial Analytics |
| Authors | Leslie W. Kennedy, Joel M. Caplan, Eric L. Piza |
| Edition | illustrated |
| Publisher | Univ of California Press, 2018 |
| ISBN | 0520295633, 9780520295636 |
| Length | 168 pages |
| Subjects | › Social Science / Criminology Social Science / Human Geography |
| Export Citation | BiBTeX EndNote RefMan |