Imagine using an evidence-based risk management model that enables researchers and practitioners alike to analyze the spatial dynamics of crime, allocate resources, and implement custom crime and risk reduction strategies that are transparent, measurable, and effective.
Risk Terrain Modeling (RTM) diagnoses the spatial attractors of criminal behavior and makes accurate forecasts of where crime will occur at the microlevel. RTM informs decisions about how the combined factors that contribute to criminal behavior can be targeted, connections to crime can be monitored, spatial vulnerabilities can be assessed, and actions can be taken to reduce worst effects.
As a diagnostic method, RTM offers a statistically valid way to identify vulnerable places. To learn more, visit
http://www.riskterrainmodeling.com and begin using RTM with the many free tutorials and resources.
表中的内容
List of Figures
List of Tables
Preface
Acknowledgments
Prologue
1. Explaining the Contexts of Crime
2. Risk Terrain Modeling Methods
3. Crime Emergence, Persistence, and Exposure
4. Presence, Repeats, and Concentration: Exposures to Crime
5. The Theory of Risky Places
6. Event Contexts of Risky Places
7. Risk Management and RTM in ACTION
8. Risk Reduction
Epilogue
Glossary
Notes
References
Index
关于作者
Joel M. Caplan is Associate Professor at Rutgers University, School of Criminal Justice.Leslie W. Kennedy is University Professor at Rutgers University, School of Criminal Justice, where he served as Dean from 1998–2007.
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