Risk terrain modeling : crime prediction and risk reduction
(eBook)

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Contributors
Published
Oakland, California : University of California Press, [2016].
Physical Desc
1 online resource
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Format
eBook
Language
English
ISBN
9780520958807, 0520958802

Notes

Bibliography
Includes bibliographical references and index.
Description
"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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Citations

APA Citation, 7th Edition (style guide)

Caplan, J. M., & Kennedy, L. W. (2016). Risk terrain modeling: crime prediction and risk reduction . University of California Press.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Caplan, Joel M., 1980- and Leslie W., Kennedy. 2016. Risk Terrain Modeling: Crime Prediction and Risk Reduction. University of California Press.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Caplan, Joel M., 1980- and Leslie W., Kennedy. Risk Terrain Modeling: Crime Prediction and Risk Reduction University of California Press, 2016.

MLA Citation, 9th Edition (style guide)

Caplan, Joel M., and Leslie W. Kennedy. Risk Terrain Modeling: Crime Prediction and Risk Reduction University of California Press, 2016.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID
312034ba-e9b6-5b04-b253-c4d5e8d7b518-eng
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Grouping Information

Grouped Work ID312034ba-e9b6-5b04-b253-c4d5e8d7b518-eng
Full titlerisk terrain modeling crime prediction and risk reduction
Authorcaplan joel m
Grouping Categorybook
Last Update2023-08-04 15:04:05PM
Last Indexed2024-04-27 03:19:19AM

Book Cover Information

Image SourcecontentCafe
First LoadedJul 1, 2023
Last UsedAug 14, 2023

Marc Record

First DetectedApr 20, 2022 01:34:54 PM
Last File Modification TimeApr 20, 2022 01:34:54 PM

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5050 |a Explaining the contexts of crime -- Risk terrain modeling methods -- Crime emergence, persistence and exposure -- Presence, repeats and concentration : exposures to crime -- Formulating a theory of risky places -- The event context of risky places -- Risk management and RTM in action -- Risk reduction.
520 |a "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.
5880 |a Online resource; title from digital title page (viewed on July 13, 2016).
650 0|a Crime analysis|x Statistical methods.
650 0|a Spatial analysis (Statistics)
650 0|a Crime|x Environmental aspects.
650 0|a Crime forecasting|x Geographic information systems.
650 0|a Crime prevention.
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7001 |a Kennedy, Leslie W.,|e author.
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