Proactive policing embedded in two models: A geospatial analysis of proactive activities by patrol officers and COP officers

Jihong Solomon Zhao and Yan Zhang

Journal of Criminal Justice, 2022, vol. 82, issue C

Abstract: To the best of our knowledge, there has not yet been a single study that systematically examines the micro-level geographic patterning of proactive policing activities which are carried out by ordinary patrol officers operating under the professional model and their colleagues operating under the disorder policing model. The purpose of this study is to fill this important void by examining the geographic locations selected for proactive policing activities by both ordinary patrol officers and disorder policing officers in Houston Police Department (HPD). The two-year data used in this study were derived from the HPD CAD system (Computer Assisted Dispatch), and supplementary information was obtained through personal interviews conducted with patrol and DRT officers in HPD in 2019. The Local Bivariate Relationships tool in ArcGIS Pro 2.8 is used in this analysis, and the unit of analysis is census block group. The primary findings suggest that there are similarity and difference of proactive activities carried out by ordinary patrol officers and disorder policing officers. Three types of relationships can capture proactive activities: linear relationship, non-linear relations (concave and convex) and undefined relationship. Policy implications and limitation of the study are discussed in the discussion and conclusion section.

Keywords: Disorder policing; Broken window theory; Proactive policing (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jcjust:v:82:y:2022:i:c:s0047235222000927

DOI: 10.1016/j.jcrimjus.2022.101972

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