Using modeling to predict and prevent victimization / Ken Pease, Andromachi Tseloni.

Format:

Book

Author/Creator:

Pease, K. (Kenneth), author.

Tseloni, Andromachi, author.

Series:

SpringerBriefs in criminology

Springer Briefs in criminology, 2192-8533

Language:

English

Subjects (All):

Crime prevention.

Victims of crimes.

Physical Description:

viii, 80 pages : illustrations ; 24 cm.

Place of Publication:

Cham ; New York : Springer, [2014]

Summary:

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.

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.

Notes:

Includes bibliographical references and index.

ISBN:

9783319031842

3319031848

OCLC:

875902395

Publisher Number:

99958424054