skip to content
Risk-based policing : evidence-based crime prevention with Big Data and spatial analytics Preview this item
ClosePreview this item
Checking...

Risk-based policing : evidence-based crime prevention with Big Data and spatial analytics

Author: Leslie W Kennedy; Joel M Caplan; Eric L Piza
Publisher: Oakland, California : University of California Press, [2018] ©2018
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"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  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Case studies
Additional Physical Format: Online version:
Kennedy, Leslie W.
Risk-based policing.
Oakland, California : University of California Press, [2018]
(DLC) 2018015036
Document Type: Book
All Authors / Contributors: Leslie W Kennedy; Joel M Caplan; Eric L Piza
ISBN: 9780520295636 0520295633
OCLC Number: 1029222267
Description: xii, 153 pages : illustrations, maps ; 26 cm
Contents: Part 1: The basic principles of risk-based policing. Introduction to risk and Big Data ; The evolution of modern policing ; Policing in the new era of public safety and law enforcement ; Risk-based policing and ACTION --
Part 2: Methods and case studies of risk-based policing. The theory of risky places ; High-risk target areas and priority places ; The role of police in risk-based policing: case studies of Colorado Springs, Glendale, Newark, and Kansas City ; 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.
Responsibility: Leslie W. Kennedy, Joel M. Caplan, Eric L. Piza.

Abstract:

"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"--

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/1029222267> # Risk-based policing : evidence-based crime prevention with Big Data and spatial analytics
    a schema:Book, schema:CreativeWork ;
    library:oclcnum "1029222267" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/cau> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/4846090267#Topic/social_science_criminology> ; # SOCIAL SCIENCE / Criminology
    schema:about <http://dewey.info/class/363.23028557/e23/> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/4846090267#Topic/crime_prevention> ; # Crime prevention
    schema:about <http://experiment.worldcat.org/entity/work/data/4846090267#Topic/crime_analysis_data_processing> ; # Crime analysis--Data processing
    schema:author <http://experiment.worldcat.org/entity/work/data/4846090267#Person/caplan_joel_m_1980> ; # Joel M. Caplan
    schema:author <http://experiment.worldcat.org/entity/work/data/4846090267#Person/piza_eric_l_1981> ; # Eric L. Piza
    schema:author <http://experiment.worldcat.org/entity/work/data/4846090267#Person/kennedy_leslie_w> ; # Leslie W. Kennedy
    schema:bookFormat bgn:PrintBook ;
    schema:copyrightYear "2018" ;
    schema:datePublished "2018" ;
    schema:description "Part 1: The basic principles of risk-based policing. Introduction to risk and Big Data ; The evolution of modern policing ; Policing in the new era of public safety and law enforcement ; Risk-based policing and ACTION -- Part 2: Methods and case studies of risk-based policing. The theory of risky places ; High-risk target areas and priority places ; The role of police in risk-based policing: case studies of Colorado Springs, Glendale, Newark, and Kansas City ; 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."@en ;
    schema:description ""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"--"@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/4846090267> ;
    schema:genre "Case studies"@en ;
    schema:inLanguage "en" ;
    schema:isSimilarTo <http://worldcat.org/entity/work/data/4846090267#CreativeWork/risk_based_policing> ;
    schema:name "Risk-based policing : evidence-based crime prevention with Big Data and spatial analytics"@en ;
    schema:productID "1029222267" ;
    schema:workExample <http://worldcat.org/isbn/9780520295636> ;
    umbel:isLike <http://bnb.data.bl.uk/id/resource/GBB8K9765> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/1029222267> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/4846090267#Person/caplan_joel_m_1980> # Joel M. Caplan
    a schema:Person ;
    schema:birthDate "1980" ;
    schema:familyName "Caplan" ;
    schema:givenName "Joel M." ;
    schema:name "Joel M. Caplan" ;
    .

<http://experiment.worldcat.org/entity/work/data/4846090267#Person/kennedy_leslie_w> # Leslie W. Kennedy
    a schema:Person ;
    schema:familyName "Kennedy" ;
    schema:givenName "Leslie W." ;
    schema:name "Leslie W. Kennedy" ;
    .

<http://experiment.worldcat.org/entity/work/data/4846090267#Person/piza_eric_l_1981> # Eric L. Piza
    a schema:Person ;
    schema:birthDate "1981" ;
    schema:familyName "Piza" ;
    schema:givenName "Eric L." ;
    schema:name "Eric L. Piza" ;
    .

<http://experiment.worldcat.org/entity/work/data/4846090267#Topic/crime_analysis_data_processing> # Crime analysis--Data processing
    a schema:Intangible ;
    schema:name "Crime analysis--Data processing"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/4846090267#Topic/social_science_criminology> # SOCIAL SCIENCE / Criminology
    a schema:Intangible ;
    schema:name "SOCIAL SCIENCE / Criminology"@en ;
    .

<http://worldcat.org/entity/work/data/4846090267#CreativeWork/risk_based_policing>
    a schema:CreativeWork ;
    rdfs:label "Risk-based policing." ;
    schema:description "Online version:" ;
    schema:isSimilarTo <http://www.worldcat.org/oclc/1029222267> ; # Risk-based policing : evidence-based crime prevention with Big Data and spatial analytics
    .

<http://worldcat.org/isbn/9780520295636>
    a schema:ProductModel ;
    schema:isbn "0520295633" ;
    schema:isbn "9780520295636" ;
    .

<http://www.worldcat.org/title/-/oclc/1029222267>
    a genont:InformationResource, genont:ContentTypeGenericResource ;
    schema:about <http://www.worldcat.org/oclc/1029222267> ; # Risk-based policing : evidence-based crime prevention with Big Data and spatial analytics
    schema:dateModified "2019-09-26" ;
    void:inDataset <http://purl.oclc.org/dataset/WorldCat> ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.