Using Modeling to Predict and Prevent Victimization |
|
Author:
| Pease, Ken Tseloni, Andromachi |
Series title: | SpringerBriefs in Criminology Ser. |
ISBN: | 978-3-319-03185-9 |
Publication Date: | Jan 2014 |
Publisher: | Springer
|
Book Format: | Ebook |
List Price: | USD $54.99 |
Book 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...
More DescriptionThis 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.