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      Hot spots policing of small geographic areas effects on crime

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          Abstract

          Background

          In recent years, crime scholars and practitioners have pointed to the potential benefits of focusing crime prevention efforts on crime places. A number of studies suggest that there is significant clustering of crime in small places, or “hot spots,” that generate half of all criminal events. Researchers have argued that many crime problems can be reduced more efficiently if police officers focused their attention to these deviant places. The appeal of focusing limited resources on a small number of high‐activity crime places is straightforward. If crime can be prevented at these hot spots, then citywide crime totals could be reduced.

          Objectives

          To assess the effects of focused police crime prevention interventions at crime hot spots. The review also examined whether focused police actions at specific locations result in crime displacement (i.e., crime moving around the corner) or diffusion (i.e., crime reduction in surrounding areas) of crime control benefits.

          Search Methods

          A keyword search was performed on 15 abstract databases. Bibliographies of past narrative and empirical reviews of literature that examined the effectiveness of police crime control programs were reviewed and forward searches for works that cited seminal hot spots policing studies were performed. Bibliographies of past completed Campbell systematic reviews of police crime prevention efforts were reviewed and hand searches of leading journals in the field were completed. Experts in the field were consulted and relevant citations were obtained.

          Selection Criteria

          To be eligible for this review, interventions used to control crime hot spots were limited to police‐led prevention efforts. Suitable police‐led crime prevention efforts included traditional tactics such as directed patrol and heightened levels of traffic enforcement as well as alternative strategies such as aggressive disorder enforcement and problem‐oriented policing. Studies that used randomized controlled experimental or quasiexperimental designs were selected. The units of analysis were limited to crime hot spots or high‐activity crime “places” rather than larger areas such as neighborhoods. The control group in each study received routine levels of traditional police crime prevention tactics.

          Data Collection and Analysis

          Sixty‐five studies containing 78 tests of hot spots policing interventions were identified and full narratives of these studies were reported. Twenty‐seven of the selected studies used randomized experimental designs and 38 used quasiexperimental designs. A formal meta‐analysis was conducted to determine the crime prevention effects in the eligible studies. Random effects models were used to calculate mean effect sizes.

          Results

          Sixty‐two of 78 tests of hot spots policing interventions reported noteworthy crime and disorder reductions. The meta‐analysis of key reported outcome measures revealed a small statistically significant mean effect size favoring the effects of hot spots policing in reducing crime outcomes at treatment places relative to control places. The effect was smaller for randomized designs but still statistically significant and positive. When displacement and diffusion effects were measured, a diffusion of crime prevention benefits was associated with hot spots policing.

          Authors' Conclusions

          The extant evaluation research suggests that hot spots policing is an effective crime prevention strategy. The research also suggests that focusing police efforts on high‐activity crime places does not inevitably lead to crime displacement; rather, crime control benefits may diffuse into the areas immediately surrounding the targeted locations.

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          Most cited references189

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          Social Change and Crime Rate Trends: A Routine Activity Approach

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            Statistical methods in psychology journals: Guidelines and explanations.

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              A Nonparametric “Trim and Fill” Method of Accounting for Publication Bias in Meta-Analysis

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                Author and article information

                Contributors
                a.braga@northeastern.edu
                Journal
                Campbell Syst Rev
                Campbell Syst Rev
                10.1002/(ISSN)1891-1803
                CL2
                Campbell Systematic Reviews
                John Wiley and Sons Inc. (Hoboken )
                1891-1803
                08 September 2019
                September 2019
                : 15
                : 3 ( doiID: 10.1002/cl2.v15.3 )
                : e1046
                Affiliations
                [ 1 ] School of Criminology and Criminal Justice Northeastern University Boston Massachusetts
                [ 2 ] Department of Sociology Northwestern University Evanston Illinois
                [ 3 ] School of Criminal Justice State University of New York Albany New York
                Author notes
                [*] [* ] Correspondence Anthony A. Braga, School of Criminology and Criminal Justice, Northeastern University, 360 Huntington Avenue Boston, MA 02115, USA.

                Email: a.braga@ 123456northeastern.edu

                Article
                CL21046
                10.1002/cl2.1046
                8356500
                37133274
                a1f75ee4-c675-4864-ada7-55c249d84a96
                © 2019 The Authors. Campbell Systematic Reviews published by John Wiley & Sons Ltd on behalf of The Campbell Collaboration.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Figures: 10, Tables: 5, Pages: 88, Words: 54355
                Categories
                Updated Systematic Review
                UPDATED SYSTEMATIC REVIEW
                Crime and Justice
                Custom metadata
                2.0
                September 2019
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.3 mode:remove_FC converted:30.03.2022

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