Risk-based policing: Evidence-Based Crime Prevention with Big Data and Spatial Analytics
"Risk-based policing is the latest advancement in the long history of policing innovations, where research and planning have combined to manage crime risks, prevent crime, and enhance public safety. In Risk-Based Policing the authors share case studies from different agencies to demonstrate how...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Oakland, California
University of California Press
2018
|
| Schlagworte: | |
| Online-Zugang: | Klappentext Inhaltsverzeichnis |
| Zusammenfassung: | "Risk-based policing is the latest advancement in the long history of policing innovations, where research and planning have combined to manage crime risks, prevent crime, and enhance public safety. In Risk-Based Policing the authors share case studies from different agencies to demonstrate how focusing police resources at risky places, based on smart uses of data and strong analytical work, can address the worst effects of disorder and crime while improving public safety and community relations. 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. Case studies explore cities such as Colorado Springs, Glendale, Newark, Kansas City, and others. The book also demonstrates how Risk Terrain Modeling (RTM) can be extended to offer a more comprehensive view of prevention and deterrence"-- |
| Beschreibung: | XII, 153 Seiten Illustrationen |
| ISBN: | 9780520295636 0520295633 |
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| 100 | 1 | |a Kennedy, Leslie W. |d 1951- |e Verfasser |0 (DE-588)1056938684 |4 aut | |
| 245 | 1 | 0 | |a Risk-based policing |b Evidence-Based Crime Prevention with Big Data and Spatial Analytics |c Leslie W. Kennedy ; Joel M. Caplan ; Eric L. Piza |
| 264 | 1 | |a Oakland, California |b University of California Press |c 2018 | |
| 300 | |a XII, 153 Seiten |b Illustrationen | ||
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| 338 | |b nc |2 rdacarrier | ||
| 520 | 3 | |a "Risk-based policing is the latest advancement in the long history of policing innovations, where research and planning have combined to manage crime risks, prevent crime, and enhance public safety. In Risk-Based Policing the authors share case studies from different agencies to demonstrate how focusing police resources at risky places, based on smart uses of data and strong analytical work, can address the worst effects of disorder and crime while improving public safety and community relations. 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. Case studies explore cities such as Colorado Springs, Glendale, Newark, Kansas City, and others. The book also demonstrates how Risk Terrain Modeling (RTM) can be extended to offer a more comprehensive view of prevention and deterrence"-- | |
| 653 | 0 | |a Crime prevention / Case studies | |
| 653 | 0 | |a Crime analysis / Data processing | |
| 653 | 0 | |a Crime analysis / Data processing | |
| 653 | 0 | |a Crime prevention | |
| 653 | 0 | |a SOCIAL SCIENCE / Criminology | |
| 653 | 6 | |a Case studies | |
| 700 | 1 | |a Caplan, Joel M. |d 1980- |e Sonstige |0 (DE-588)1057807613 |4 oth | |
| 700 | 1 | |a Piza, Eric L. |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Online version |a Kennedy, Leslie W. |t Risk-based policing |d Oakland, California : University of California Press, 2018 |z 978-0-520-96834-9 |
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Datensatz im Suchindex
| _version_ | 1804179438866268160 |
|---|---|
| adam_text | RISK-BASED
POLICING IS A RESEARCH ADVANCEMENT THAT IMPROVES PUBLIC SAFETY, AND ITS
APPLICATIONS PREVENT CRIME SPECIFICALLY BY MANAGING CRIME
RISKS.
IN
RISK-BASED
POLIC-
ING,
THE AUTHORS ANALYZE
CASE
STUDIES FROM A VARIETY OF CITY AGENCIES INCLUDING ATLAN-
TIC
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.
DRIVES RESEARCH WHILE OFFERING PRACTICAL STEPS TOWARDS USING RISK-BASED
POLICING AS
A
WAY OF PREVENTING CRIME.
EDMUND
MCGARRELL,
DIRECTOR, MICHIGAN JUSTICE
STATIS-
TICS
CENTER AND PROFESSOR OF CRIMINAL JUSTICE, MICHIGAN STATE UNIVERSITY
A MUST-READ
BOTH
FOR STUDENTS OF PLACE-BASED CRIMINOLOGY AND FOR CRIME ANALYSTS.
CYNTHIA
LUM,
AUTHOR OF
EVIDENCE-BASED POLICING
PROGRESSIVE POLICE CHIEFS SHOULD ADD THIS
BOOK
TO THEIR SHELVES.
RISK
TERRAIN MODEL-
ING IS AN EFFECTIVE AND EFFICIENT APPROACH TO REDUCING AND PREVENTING
CRIME.
RENE E
J .
MITCHELL,
PRESIDENT OF THE AMERICAN SOCIETY OF EVIDENCE-BASED POLICING
LESLIE W.
KENNEDY
IS UNIVERSITY PROFESSOR OF CRIMINAL JUSTICE AT RUTGERS UNIVERSITY
AND DIRECTOR OF THE RUTGERS CENTER ON PUBLIC SECURITY.
JOEL
M.
CAPLAN
IS ASSOCIATE
PROFESSOR AT RUTGERS UNIVERSITY S SCHOOL OF CRIMINAL JUSTICE AND
DEPUTY
DIRECTOR OF
THE RUTGERS CENTER ON PUBLIC SECURITY. HE HAS PROFESSIONAL EXPERIENCE AS
A POLICE
OFFICER,
9-1-1
DISPATCHER, AND EMERGENCY MEDICAL TECHNICIAN.
ERIC L.
PIZA
IS ASSOCI-
ATE
PROFESSOR AT JOHN JAY COLLEGE OF CRIMINAL JUSTICE,
CITY
UNIVERSITY OF NEW YORK.
PRIOR TO JOINING ACADEMIA, HE SERVED AS THE GEOGRAPHIC INFORMATION
SYSTEMS SPE-
CIALIST
FOR THE NEWARK POLICE DEPARTMENT IN NEW JERSEY.
CONTENTS
PREFACE
* IX
ACKNOWLEDGMENTS
* XI
PART
1:
THE
BASIC PRINCIPLES
OF
RISK-BASED POLICING
INTRODUCTION TO RISK AND BIG DATA * 5
INTRODUCTION TO RISK-BASED POLICING IN
CRIME
PREVENTION * 5
THE
IMPORTANCE
OF
RISK
* 6
BIG
DATA * 8
RISK-BASED
POLICING * 8
CONCLUSION
* 9
THE
EVOLUTION OF MODERN POLICING * N
INTRODUCTION * 11
POLICE REFORM AND PROFESSIONALIZATION * 13
FROM PROFESSIONALISM TO PROBLEM-SOLVING * 16
THE
IMPORTANCE
OF
PLACES
AND DATA ANALYSIS IN CONTEMPORARY POLICING 18
CONCLUSION
* 21
POLICING IN THE NEW ERA OF PUBLIC SAFETY AND
LAW
ENFORCEMENT * 23
FOCUS ON PLACES WITH RISK TERRAIN MODELING * 23
THE
CENTRAL
TENETS
OF
RISK-BASED
POLICING * 27
DEVELOP SPATIAL RISK NARRATIVES * 27
SOLICIT AND
VALUE
INPUT FROM MULTIPLE STAKEHOLDERS * 28
MAKE DATA-DRIVEN DECISIONS * 30
BALANCE
STRATEGIES
FOR
CRIME
RISK REDUCTION * 31
CONCLUSION
* 32
4. RISK-BASED POLICING AND ACTION * 35
INTRODUCTION * 35
FT/S/C GOVERNANCE AND THE POLICE LEADER * 36
ACTION MEETINGS * 36
A
DETAILED BREAKDOWN
OF
THE
ACTION AGENDA * 39
THE UNCERTAINTY IN RISK GOVERNANCE * 43
CONCLUSION
* 46
PART
2:
METHODS
AND
CASE STUDIES
OF
RISK-BASED POLICING
5. THE THEORY OF RISKY PLACES * 53
INTRODUCTION * 53
THEORIES RELEVANT TO RISK-BASED POLICING * 54
CONCLUSION
* 62
6. HIGH-RISK TARGET AREAS AND PRIORITY PLACES * 63
INTRODUCTION * 63
STUDYING EXPOSURE AND
VULNERABILITY
TO
CRIME
* 64
BROOKLYN AS A CASE STUDY * 65
CONCLUSION
* 70
7. THE ROLE OF POLICE IN RISK-BASED POLICING: CASE STUDIES OF
COLORADO SPRINGS, GLENDALE, NEWARK, AND KANSAS CITY * 71
INTRODUCTION * 71
RISK ASSESSMENT METHODOLOGY * 72
FINDINGS * 76
CONNECTING RISK ASSESSMENTS TO INTERVENTION * 98
CONCLUSION
* 100
8. FACILITATORS AND IMPEDIMENTS TO DESIGNING, IMPLEMENTING, AND
EVALUATING
RISK-BASED POLICING STRATEGIES: INSIGHTS FROM
COMPLETED RESEARCHER-PRACTITIONER PARTNERSHIPS * 102
INTRODUCTION * 102
RESEARCHER-PRACTITIONER PARTNERSHIPS * 103
PLANNED
CHANGE
AND PROGRAM IMPLEMENTATION * 104
RISK-BASED
POLICING PARTNERSHIPS * 106
FINDINGS * 107
CONCLUSION
* 115
9. THE ROLES OF MULTIPLE STAKEHOLDERS IN RISK-BASED POLICING:
CASE STUDIES OF JERSEY CITY AND ATLANTIC CITY * N8
INTRODUCTION * N8
ACTION MEETINGS IN JERSEY CITY * 119
RISK-BASED POLICING IN ATLANTIC CITY * 120
CONCLUSION
* 124
IO. PEOPLE MAKE RISK-BASED POLICING AND DATA ACTIONABLE * 126
VALUING
DATA: LESSONS LEARNED * 126
BEYOND
TRAINING
AND INTO ACTIVE PROBLEM SOLVING * 128
CONCLUSION
-131
EPILOGUE * 133
REFERENCES * 137
INDEX * 149
|
| any_adam_object | 1 |
| author | Kennedy, Leslie W. 1951- |
| author_GND | (DE-588)1056938684 (DE-588)1057807613 |
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| author_sort | Kennedy, Leslie W. 1951- |
| author_variant | l w k lw lwk |
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| bvnumber | BV045502425 |
| ctrlnum | (OCoLC)1047873553 (DE-599)BVBBV045502425 |
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| id | DE-604.BV045502425 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:19:52Z |
| institution | BVB |
| isbn | 9780520295636 0520295633 |
| language | English |
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| owner_facet | DE-2070s |
| physical | XII, 153 Seiten Illustrationen |
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| spelling | Kennedy, Leslie W. 1951- Verfasser (DE-588)1056938684 aut Risk-based policing Evidence-Based Crime Prevention with Big Data and Spatial Analytics Leslie W. Kennedy ; Joel M. Caplan ; Eric L. Piza Oakland, California University of California Press 2018 XII, 153 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier "Risk-based policing is the latest advancement in the long history of policing innovations, where research and planning have combined to manage crime risks, prevent crime, and enhance public safety. In Risk-Based Policing the authors share case studies from different agencies to demonstrate how focusing police resources at risky places, based on smart uses of data and strong analytical work, can address the worst effects of disorder and crime while improving public safety and community relations. 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. Case studies explore cities such as Colorado Springs, Glendale, Newark, Kansas City, and others. The book also demonstrates how Risk Terrain Modeling (RTM) can be extended to offer a more comprehensive view of prevention and deterrence"-- Crime prevention / Case studies Crime analysis / Data processing Crime prevention SOCIAL SCIENCE / Criminology Case studies Caplan, Joel M. 1980- Sonstige (DE-588)1057807613 oth Piza, Eric L. Sonstige oth Online version Kennedy, Leslie W. Risk-based policing Oakland, California : University of California Press, 2018 978-0-520-96834-9 SWB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030887111&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Klappentext SWB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030887111&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Kennedy, Leslie W. 1951- Risk-based policing Evidence-Based Crime Prevention with Big Data and Spatial Analytics |
| title | Risk-based policing Evidence-Based Crime Prevention with Big Data and Spatial Analytics |
| title_auth | Risk-based policing Evidence-Based Crime Prevention with Big Data and Spatial Analytics |
| title_exact_search | Risk-based policing Evidence-Based Crime Prevention with Big Data and Spatial Analytics |
| title_full | Risk-based policing Evidence-Based Crime Prevention with Big Data and Spatial Analytics Leslie W. Kennedy ; Joel M. Caplan ; Eric L. Piza |
| title_fullStr | Risk-based policing Evidence-Based Crime Prevention with Big Data and Spatial Analytics Leslie W. Kennedy ; Joel M. Caplan ; Eric L. Piza |
| title_full_unstemmed | Risk-based policing Evidence-Based Crime Prevention with Big Data and Spatial Analytics Leslie W. Kennedy ; Joel M. Caplan ; Eric L. Piza |
| title_short | Risk-based policing |
| title_sort | risk based policing evidence based crime prevention with big data and spatial analytics |
| title_sub | Evidence-Based Crime Prevention with Big Data and Spatial Analytics |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030887111&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030887111&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
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