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:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Oakland, California :
University of California Press,
[2018]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| 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"--Provided by publisher. |
| Beschreibung: | 1 online resource (xii, 153 pages) |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9780520968349 0520968344 |
Internformat
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| 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] | |
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Introduction to risk and big data -- Evolution of modern policing -- Policing in the new era of public safety and law enforcement -- Risk-based policing and action -- The theory of risky places -- High-risk target areas and priority places -- Case studies of Colorado Springs, Glendale, Newark, and Kansas city : the role of police in risk-based policing -- Facilitators and impediments to designing, implementing, and evaluating risk-based policing strategies : insights from completed researcher-practitioner partnerships -- The roles of multiple stakeholders in risk-based policing : case studies of Jersey city and Atlantic city -- People make risk-based policing and data actionable. | |
| 520 | |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"--Provided by publisher. | ||
| 588 | 0 | |a Online resource; title from digital title page (viewed on January 07, 2019). | |
| 546 | |a In English. | ||
| 650 | 0 | |a Crime prevention |v Case studies. | |
| 650 | 0 | |a Crime analysis |x Data processing. | |
| 650 | 6 | |a Criminalité |x Analyse |x Informatique. | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Infrastructure. |2 bisacsh | |
| 650 | 7 | |a SOCIAL SCIENCE |x General. |2 bisacsh | |
| 650 | 7 | |a SOCIAL SCIENCE |x Criminology. |2 bisacsh | |
| 650 | 7 | |a Crime analysis |x Data processing |2 fast | |
| 650 | 7 | |a Crime prevention |2 fast | |
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| 776 | 0 | 8 | |i Print version: |a Kennedy, Leslie W. |t Risk-based policing. |d Oakland, California : University of California Press, [2018] |z 9780520295636 |w (DLC) 2018010269 |
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| author | Kennedy, Leslie W. Caplan, Joel M., 1980- Piza, Eric L., 1981- |
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| author_facet | Kennedy, Leslie W. Caplan, Joel M., 1980- Piza, Eric L., 1981- |
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| contents | Introduction to risk and big data -- Evolution of modern policing -- Policing in the new era of public safety and law enforcement -- Risk-based policing and action -- The theory of risky places -- High-risk target areas and priority places -- Case studies of Colorado Springs, Glendale, Newark, and Kansas city : the role of police in risk-based policing -- Facilitators and impediments to designing, implementing, and evaluating risk-based policing strategies : insights from completed researcher-practitioner partnerships -- The roles of multiple stakeholders in risk-based policing : case studies of Jersey city and Atlantic city -- People make risk-based policing and data actionable. |
| ctrlnum | (OCoLC)1030445292 |
| dewey-full | 363.2/3028557 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 363 - Other social problems and services |
| dewey-raw | 363.2/3028557 |
| dewey-search | 363.2/3028557 |
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| dewey-tens | 360 - Social problems and services; associations |
| discipline | Soziologie |
| format | Electronic eBook |
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| id | ZDB-4-EBA-on1030445292 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:28:17Z |
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| spelling | Kennedy, Leslie W., author. 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] 1 online resource (xii, 153 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Introduction to risk and big data -- Evolution of modern policing -- Policing in the new era of public safety and law enforcement -- Risk-based policing and action -- The theory of risky places -- High-risk target areas and priority places -- Case studies of Colorado Springs, Glendale, Newark, and Kansas city : the role of police in risk-based policing -- Facilitators and impediments to designing, implementing, and evaluating risk-based policing strategies : insights from completed researcher-practitioner partnerships -- The roles of multiple stakeholders in risk-based policing : case studies of Jersey city and Atlantic city -- People make risk-based policing and data actionable. "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"--Provided by publisher. Online resource; title from digital title page (viewed on January 07, 2019). In English. Crime prevention Case studies. Crime analysis Data processing. Criminalité Analyse Informatique. BUSINESS & ECONOMICS Infrastructure. bisacsh SOCIAL SCIENCE General. bisacsh SOCIAL SCIENCE Criminology. bisacsh Crime analysis Data processing fast Crime prevention fast Case studies fast Case studies. lcgft http://id.loc.gov/authorities/genreForms/gf2017026140 Études de cas. rvmgf Caplan, Joel M., 1980- author. http://id.loc.gov/authorities/names/no2015143218 Piza, Eric L., 1981- author. http://id.loc.gov/authorities/names/no2018032398 has work: Risk-based policing (Text) https://id.oclc.org/worldcat/entity/E39PCGQqmPCmTDVxmKjYQJVxQq https://id.oclc.org/worldcat/ontology/hasWork Print version: Kennedy, Leslie W. Risk-based policing. Oakland, California : University of California Press, [2018] 9780520295636 (DLC) 2018010269 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1908146 Volltext |
| spellingShingle | Kennedy, Leslie W. Caplan, Joel M., 1980- Piza, Eric L., 1981- Risk-based policing : evidence-based crime prevention with big data and spatial analytics / Introduction to risk and big data -- Evolution of modern policing -- Policing in the new era of public safety and law enforcement -- Risk-based policing and action -- The theory of risky places -- High-risk target areas and priority places -- Case studies of Colorado Springs, Glendale, Newark, and Kansas city : the role of police in risk-based policing -- Facilitators and impediments to designing, implementing, and evaluating risk-based policing strategies : insights from completed researcher-practitioner partnerships -- The roles of multiple stakeholders in risk-based policing : case studies of Jersey city and Atlantic city -- People make risk-based policing and data actionable. Crime prevention Case studies. Crime analysis Data processing. Criminalité Analyse Informatique. BUSINESS & ECONOMICS Infrastructure. bisacsh SOCIAL SCIENCE General. bisacsh SOCIAL SCIENCE Criminology. bisacsh Crime analysis Data processing fast Crime prevention fast |
| subject_GND | http://id.loc.gov/authorities/genreForms/gf2017026140 |
| 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 / |
| topic | Crime prevention Case studies. Crime analysis Data processing. Criminalité Analyse Informatique. BUSINESS & ECONOMICS Infrastructure. bisacsh SOCIAL SCIENCE General. bisacsh SOCIAL SCIENCE Criminology. bisacsh Crime analysis Data processing fast Crime prevention fast |
| topic_facet | Crime prevention Case studies. Crime analysis Data processing. Criminalité Analyse Informatique. BUSINESS & ECONOMICS Infrastructure. SOCIAL SCIENCE General. SOCIAL SCIENCE Criminology. Crime analysis Data processing Crime prevention Case studies Case studies. Études de cas. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1908146 |
| work_keys_str_mv | AT kennedylesliew riskbasedpolicingevidencebasedcrimepreventionwithbigdataandspatialanalytics AT caplanjoelm riskbasedpolicingevidencebasedcrimepreventionwithbigdataandspatialanalytics AT pizaericl riskbasedpolicingevidencebasedcrimepreventionwithbigdataandspatialanalytics |