Risk-based policing : evidence-based crime prevention with big data and spatial analytics / Leslie W. Kennedy, Joel M. Caplan, Eric L. Piza.

Format:

Book

Author/Creator:

Kennedy, Leslie W., Author.

Caplan, Joel M., Author.

Piza, Eric L., Author.

Language:

English

Subjects (All):

Crime prevention--Case studies.

Crime prevention.

Crime analysis--Data processing.

Crime analysis.

Physical Description:

1 online resource (167 pages)

Edition:

1st ed.

Place of Publication:

Berkeley, CA : University of California Press, [2018]

Language Note:

In English.

System Details:

Mode of access: World Wide Web.

Summary:

Risk-based policing is a research advancement that improves public safety, and its applications prevent crime specifically by managing crime risks. In Risk-Based Policing, the authors analyze case studies from a variety of city agencies including Atlantic City, New Jersey; Colorado Springs, Colorado; Glendale, Arizona; Kansas City, Missouri; Newark, New Jersey; and others. They demonstrate how focusing police resources on risky places and basing police work on smart uses of data can address the worst effects of disorder and crime while improving community relations and public safety. Topics include the role of big data; the evolution of modern policing; dealing with high-risk targets; designing, implementing, and evaluating risk-based policing strategies; and the role of multiple stakeholders in risk-based policing. The book also demonstrates how risk terrain modeling can be extended to provide a comprehensive view of prevention and deterrence.

Contents:

Frontmatter

CONTENTS

PREFACE

ACKNOWLEDGMENTS

PART 1. THE BASIC PRINCIPLES OF RISK-BASED POLICING

PART 2. METHODS AND CASE STUDIES OF RISK-BASED POLICING

EPILOGUE

REFERENCES

INDEX

Notes:

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 21. Dez 2019)

ISBN:

9780520968349

0520968344

OCLC:

1030445292