A Holistic Approach to Law Enforcement Theories

dc.contributorLEMIT
dc.contributor.authorSelman, Mitchell
dc.coverage.spatialTexas (United States, North and Central America : state)
dc.date.accessioned2019-08-12T15:49:23Z
dc.date.available2019-08-12T15:49:23Z
dc.date.created2019-02-01
dc.date.issued2019
dc.descriptionLaw enforcement agencies across the United States have long looked for effective ways to address the crime and disorder within their communities. Managers within these agencies have begun to realize the ineffectiveness of traditional policing methods. These methods are largely reactive in nature and do little to reduce crime or prevent it from occurring. As law enforcement began to realize the ineffectiveness of the traditional policing model in sustainably reducing crime, they started researching better solutions. Research led to ideas and theories that became known as community policing, problem oriented policing, compstat, and intelligence-led policing, to name a few. Each model has the ability to either gather or direct data and intelligence. Intelligence-led policing is a police managerial philosophy that aims to reduce and prevent crime and disrupt criminal activity. It is a top-down management approach that uses crime intelligence to direct police activity. Based upon collected data and analysis, police resources are directed to targets and disrupt serious and prolific offenders (Ratcliff, 2011). It is the assertion of this paper to examine the inter-compatibility of each of the modern policing models and develop a holistic approach, using the intelligence-led policing model as a foundation.
dc.format.mimetypeapplication-pdf
dc.identifier.other1852
dc.identifier.urihttps://hdl.handle.net/20.500.11875/2629
dc.language.isoen
dc.publisherLaw Enforcement Management Institute of Texas (LEMIT)
dc.rightsProduced under the auspices of LEMIT. Quotations from this paper must be cited.
dc.subjectPolice--Community Relations
dc.subjectCrime Prevention
dc.titleA Holistic Approach to Law Enforcement Theories
dc.type.materialText

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