Using Modeling to Predict and Prevent Victimization
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 offe
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Ken Pease Andromachi Tseloni
Using Modeling to Predict and Prevent Victimization
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SpringerBriefs in Criminology
For further volumes: http://www.springer.com/series/10159
Ken Pease • Andromachi Tseloni
Using Modeling to Predict and Prevent Victimization
Ken Pease Department of Social Sciences Loughborough University Leicestershire, UK
Andromachi Tseloni Department of Social Sciences Loughborough University Leicestershire, UK
ISSN 2192-8533 ISSN 2192-8541 (electronic) ISBN 978-3-319-03184-2 ISBN 978-3-319-03185-9 (eBook) DOI 10.1007/978-3-319-03185-9 Springer Cham New York Heidelberg Dordrecht London Library of Congress Control Number: 2013955038 © The Author(s) 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
Crime reduction by the manipulation of situations is viable. When conceived intelligently and implemented well, experience suggests it is more often successful than not. The concentration of crime on particular people and places suggests that targeting crime reduction on those most liable to be victimised represents a prudent allocation of resources. Police forces and other agencies concerned with community safety would claim that they already do this. The precision with which this aspiration is realised is very limited. The necessa
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