Using Modeling to Predict and Prevent Victimization

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,

Éditeur :

Springer


Collection :

SpringerBriefs in Criminology

Paru le : 2014-01-09

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Description
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.
Pages
80 pages
Collection
SpringerBriefs in Criminology
Parution
2014-01-09
Marque
Springer
EAN papier
9783319031842
EAN EPUB
9783319031859

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
553 Ko
Prix
52,74 €