书目名称 | Using Modeling to Predict and Prevent Victimization |
编辑 | Ken Pease,Andromachi Tseloni |
视频video | |
概述 | Presents a new statistical modeling technique for predicting and preventing repeat victimization.Covers theory, research and practice for modeling crime.Provides clear applications with recommendation |
丛书名称 | SpringerBriefs in Criminology |
图书封面 |  |
描述 | 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. |
出版日期 | Book 2014 |
关键词 | Crime Prediction; Crime Prevention; Police Crime Response; Repeat Victimization; Victim Characteristics; |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-03185-9 |
isbn_softcover | 978-3-319-03184-2 |
isbn_ebook | 978-3-319-03185-9Series ISSN 2192-8533 Series E-ISSN 2192-8541 |
issn_series | 2192-8533 |
copyright | The Author(s) 2014 |