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Risk-Based Policing: Evidence-Based Crime Prevention with Big Data and Spatial Analytics


Risk-Based Policing: Evidence-Based Crime Prevention with Big Data and Spatial Analytics

Paperback by Kennedy, Leslie W.; Caplan, Joel M.; Piza, Eric L.

Risk-Based Policing: Evidence-Based Crime Prevention with Big Data and Spatial Analytics

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£28.90

ISBN:
9780520295636
Publication Date:
20 Nov 2018
Language:
English
Publisher:
University of California Press
Pages:
168 pages
Format:
Paperback
For delivery:
Estimated despatch 21 - 22 May 2024
Risk-Based Policing: Evidence-Based Crime Prevention with Big Data and Spatial Analytics

Description

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.

Contents

Preface Acknowledgments PART 1: THE BASIC PRINCIPLES OF RISK-BASED POLICING 1. Introduction to Risk and Big Data Introduction to Risk-Based Policing in Crime Prevention The Importance of Risk Big Data Risk-Based Policing Conclusion 2. The Evolution of Modern Policing Introduction Police Reform and Professionalization From Professionalism to Problem-Solving The Importance of Places and Data Analysis in Contemporary Policing Conclusion 3. Policing in the New Era of Public Safety and Law Enforcement Focus on Places with Risk Terrain Modeling The Central Tenets of Risk-Based Policing Develop Spatial Risk Narratives Solicit and Value Input from Multiple Stakeholders Make Data-Driven Decisions Balance Strategies for Crime Risk Reduction Conclusion 4. Risk-Based Policing and ACTION Introduction Risk Governance and the Police Leader ACTION Meetings A Detailed Breakdown of the ACTION Agenda The Uncertainty in Risk Governance Conclusion PART 2: METHODS AND CASE STUDIES OF RISK-BASED POLICING 5. The Theory of Risky Places Introduction Theories Relevant to Risk-Based Policing Conclusion 6. High-Risk Target Areas and Priority Places Introduction Studying Exposure and Vulnerability to Crime Brooklyn as a Case Study Conclusion 7. The Role of Police in Risk-Based Policing: Case Studies of Colorado Springs, Glendale, Newark, and Kansas City Introduction Risk Assessment Methodology Findings Connecting Risk Assessments to Intervention Conclusion 8. Facilitators and Impediments to Designing, Implementing, and Evaluating Risk-Based Policing Strategies: Insights from Completed Researcher-Practitioner Partnerships Introduction Researcher-Practitioner Partnerships Planned Change and Program Implementation Risk-Based Policing Partnerships Findings Conclusion 9. The Roles of Multiple Stakeholders in Risk-Based Policing: Case Studies of Jersey City and Atlantic City Introduction ACTION Meetings in Jersey City Risk-Based Policing in Atlantic City Conclusion 10. People Make Risk-Based Policing and Data Actionable Valuing Data: Lessons Learned Beyond Training and into Active Problem Solving Conclusion Epilogue References Index

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