Using Modeling to Predict and Prevent Victimization

Nonfiction, Social & Cultural Studies, Social Science, Statistics, Crimes & Criminals, Criminology
Cover of the book Using Modeling to Predict and Prevent Victimization by Ken Pease, Andromachi Tseloni, Springer International Publishing
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Author: Ken Pease, Andromachi Tseloni ISBN: 9783319031859
Publisher: Springer International Publishing Publication: January 9, 2014
Imprint: Springer Language: English
Author: Ken Pease, Andromachi Tseloni
ISBN: 9783319031859
Publisher: Springer International Publishing
Publication: January 9, 2014
Imprint: Springer
Language: English

This work provides clear application of a new statistical modeling technique that can be used to recognize patterns in victimization and prevent repeat victimization. The history of crime prevention techniques range from offender-based, to environment/situation-based, to victim-based. The authors of this work have found more accurate ways to predict and prevent victimization using a statistical modeling, based around crime concentration and sub-group profiling with regard to crime vulnerability levels, to predict areas and individuals vulnerable to crime. Following from this prediction, they propose policing strategies to improve crime prevention based on these predictions. With a combination of immediate actions and longer-term research recommendations, this work will be of interest to researchers and policy makers in focused on crime prevention, police studies, victimology and statistical applications.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This work provides clear application of a new statistical modeling technique that can be used to recognize patterns in victimization and prevent repeat victimization. The history of crime prevention techniques range from offender-based, to environment/situation-based, to victim-based. The authors of this work have found more accurate ways to predict and prevent victimization using a statistical modeling, based around crime concentration and sub-group profiling with regard to crime vulnerability levels, to predict areas and individuals vulnerable to crime. Following from this prediction, they propose policing strategies to improve crime prevention based on these predictions. With a combination of immediate actions and longer-term research recommendations, this work will be of interest to researchers and policy makers in focused on crime prevention, police studies, victimology and statistical applications.

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