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Using Modeling to Predict and Prevent Victimization

0/5 ( ratings)

This work provides clear applicationof a newstatisticalmodeling technique thatcan be used to recognize patterns in victimization and prevent repeat victimization. The history of crimeprevention techniques rangefrom 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 astatisticalmodeling, based around crime concentration andsub-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."

Pages: 80

Format: Paperback

Publisher: Springer

Release: January 21, 2014

ISBN: 3319031848

ISBN 13: 9783319031842

Using Modeling to Predict and Prevent Victimization

0/5 ( ratings)

This work provides clear applicationof a newstatisticalmodeling technique thatcan be used to recognize patterns in victimization and prevent repeat victimization. The history of crimeprevention techniques rangefrom 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 astatisticalmodeling, based around crime concentration andsub-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."

Pages: 80

Format: Paperback

Publisher: Springer

Release: January 21, 2014

ISBN: 3319031848

ISBN 13: 9783319031842

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