Using modeling to predict and prevent victimization / Ken Pease, Andromachi Tseloni.
| Author/creator | Pease, K. author. |
| Other author | Tseloni, Andromachi, author. |
| Format | Book |
| Publication | Cham ; New York : Springer, [2014] |
| Copyright Date | ©2014 |
| Description | viii, 80 pages : illustrations ; 24 cm. |
| Subjects |
| Series | Springer Briefs in criminology, 2192-8533 SpringerBriefs in criminology. ^A1144435 |
| Contents | 1. Fleeting crime: the raw material for crime analysis and reduction -- 2. Crime concentration and its prevention -- 3. Predicting victimisation incidence -- 4. Modelling as a prevention aid -- 5. Conclusions: what next? -- Appendix. |
| Abstract | 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. |
| Bibliography note | Includes bibliographical references and index. |
| LCCN | 2013955038 |
| ISBN | 9783319031842 |
| ISBN | 3319031848 |