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Social Sciences - Criminology & Criminal Justice | Using Modeling to Predict and Prevent Victimization

Using Modeling to Predict and Prevent Victimization

Pease, Ken, Tseloni, Andromachi

2014, VIII, 80 p. 11 illus.

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  • Presents a new statistical modeling technique for predicting and preventing repeat victimization
  • Covers theory, research and practice for modeling crime
  • Provides clear applications with recommendations for future research and policy
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.

Content Level » Research

Keywords » Crime Prediction - Crime Prevention - Police Crime Response - Repeat Victimization - Victim Characteristics - Victimology

Related subjects » Criminology & Criminal Justice - Social Sciences & Law

Table of contents 

​Introduction.- Crime Concentration.- Preventing Repeat Victimization.- Predicting Frequent Victimization.- Preventing Recurring Victimization.- Conclusions.

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