Risk Terrain Modeling: Crime Prediction and Risk Reduction"Risk terrain modeling (RTM) diagnoses the spatial attractors of criminal behavior and makes accurate predictions of where crime will occur at the micro-level. This book presents RTM as part of a larger risk management agenda that defines and measures crime problems; suggests ways in which they can be addressed through interventions; proposes measures for assessing effectiveness of treatment and sustainability of efforts; and offers suggestions for how police organizations can address vulnerabilities and exposures in the communities that they serve through strategies that go beyond specific deterrence of offenders. Technical and conceptual aspects of RTM are considered into the context of past criminological research, leading to a discussion of crime vulnerabilities and exposures, and the Theory of Risky Places. Then best practices for RTM, crime prediction, and risk reduction are set to ACTION. Case studies empirically demonstrate how RTM can be used to analyze the spatial dynamics of crime, allocate resources, and implement customized crime and risk reduction strategies that are transparent, measurable, and effective. Researchers and practitioners will learn 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 the worst effects"--Provided by publisher. |
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Contents
Risk Terrain Modeling Methods | 11 |
Crime Emergence Persistence and Exposure | 30 |
Exposures to Crime | 37 |
The Theory of Risky Places | 51 |
Event Contexts of Risky Places | 66 |
Risk Management and RTM in ACTION | 80 |
Risk Reduction 106 Epilogue | 115 |
Other editions - View all
Risk Terrain Modeling: Crime Prediction and Risk Reduction Joel M. Caplan,Leslie W. Kennedy Limited preview - 2016 |
Risk Terrain Modeling: Crime Prediction and Risk Reduction Joel M. Caplan,Leslie W. Kennedy No preview available - 2016 |
Common terms and phrases
0.00 Clustered 3–1-1 service requests aggravated assault assessment battery battery/assault Brantingham calls-for-service Caplan cell CHAPTER Chicago Police Department crime analysis crime events crime occurring crime problems crime types criminal behavior criminogenic features D D D datasets density dynamics of crime emerge empirical environment environmental EVENT CONTEXTS forecast gas stations hot spot areas hot spot mapping identify illegal behavior intervention activities IPIR Irvington jurisdiction Kansas City Kennedy landscape likelihood Logistic Regression mitigate motor vehicle thefts nightclubs operationalization outcome events patterns Piza place-based Police Department police officers Proximity reduce regression relative risk scores relative risk values risk management risk narrative risk of crime risk terrain map risk terrain model risky features risky places robbery incidents RTMDx Utility spatial dynamics spatial influences spatial intelligence spatial risk spatial vulnerability stakeholders standard deviation statistical target areas Theory of Risky victims violent crime incidents vulnerability and exposure