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Date: November 22, 2024 Fri
Time: 12:22 pm
Time: 12:22 pm
Results for hot-spots policing
3 results foundAuthor: Muntingh, Lukas Title: Child Justice Alliance: A Quantitative Overview of Children in the Criminal Justice System: 2007 Summary: This report provides an overview of the available quantitative data on children in the juvenile justice system in South Africa, and also identifies where data is lacking or incomplete. It includes the following sections: children in detention; duration of detention; children coming into contact with the juvenile justice system; existence of a juvenile justice system; separation from adults; conditions for control of quality of services for children in detention; and protection from torture, violence, abuse and exploitation. Details: Bellville, South Africa: Child Justice Alliance, 2007. 36p. Source: Internet Resource Year: 2007 Country: South Africa URL: Shelf Number: 110569 Keywords: Crime DisplacementHigh Crime AreasHot-Spots PolicingJuvenile DetentionJuvenile Justice Systems (South Africa)Juvenile Offenders (South Africa)Police PatrolProblem-Oriented Policing |
Author: Hunt, Priscillia Title: Evaluation of the Shreveport Predictive Policing Experiment Summary: Predictive policing is the application of statistical methods to identify likely targets for police intervention (the predictions) to prevent crimes or solve past crimes, followed by conducting interventions against those targets. The concept has been of high interest in recent years as evidenced by the growth of academic, policy, and editorial reports; however, there have been few formal evaluations of predictive policing efforts to date. In response, the National Institute of Justice (NIJ) funded the Shreveport Police Department (SPD) in Louisiana to conduct a predictive policing experiment in 2012. SPD staff developed and estimated a statistical model of the likelihood of property crimes occurring within block-sized areas. Then, using a blocked randomized approach to identify treatment and control district pairs, districts assigned to the treatment group were given maps that highlighted blocks predicted to be at higher risk of property crime. These districts were also provided with overtime resources to conduct special operations. Control districts conducted property crime-related special operations using overtime resources as well, just targeting areas that had recently seen property crimes (hot spots). This study presents results of an evaluation of the processes in addition to the impacts and costs of the SPD predictive policing experiment. It should be of interest to those considering predictive policing and directed law enforcement systems and operations, and to analysts conducting experiments and evaluations of public safety strategies. This evaluation is part of a larger project funded by the NIJ, composed of two phases. Phase I focuses on the development and estimation of predictive models, and Phase II involves implementation of a prevention model using the predictive model. For Phase II, RAND is evaluating predictive policing strategies conducted by the SPD and the Chicago Police Department (contract #2009-IJ-CX-K114). This report is one product from Phase II. Details: Santa Monica, CA: RAND, 2014. 88p. Source: Internet Resource: Accessed August 4, 2014 at: http://www.rand.org/content/dam/rand/pubs/research_reports/RR500/RR531/RAND_RR531.pdf Year: 2014 Country: United States URL: http://www.rand.org/content/dam/rand/pubs/research_reports/RR500/RR531/RAND_RR531.pdf Shelf Number: 132885 Keywords: Crime AnalysisCrime PredictionCrime PreventionHot-Spots PolicingPredictive PolicingProperty Crimes |
Author: Bryant, Kevin M. Title: Shawnee, Kansas, Smart Policing Initiative Reducing Crime and Automobile Collisions through Data-Driven Approaches to Crime and Traffic Safety (DDACTS) Summary: From 2008 to 2010, the city of Shawnee, Kansas, experienced a 22 percent increase in violent crime. At the same time, the Shawnee Police Department (SPD) was acutely aware of persistent traffic accident hot spots. Moreover, budgetary constraints resulted in nearly a 5-percent decrease in the department's sworn staff in one year (2009). The SPD leadership became increasingly concerned about their ability to maintain a sufficient level of service, and to effectively respond to changing crime trends in the city. In response to these emerging concerns, the SPD implemented the Data-Driven Approaches to Crime and Traffic Safety (DDACTS) model beginning in July 2010. DDACTS identifies locations where crime and traffic problems disproportionately co-occur, and then deploys increased police presence and high-visibility traffic enforcement (HVTE) in those areas. The DDACTS model is grounded in seven guiding principles that highlight collaboration, data-driven decision-making, hot spots policing, and ongoing program assessment and dissemination of findings. In 2011, the Department received funding from the Bureau of Justice Assistance's Smart Policing Initiative (SPI) to support the implementation of DDACTS and conduct a rigorous evaluation of the impact of the DDACTS model on crime and automobile crashes in the city of Shawnee. The Shawnee SPI team employed a three-pronged evaluation to examine the implementation and impact of the DDACTS model. First, the SPI team conducted two waves of focus groups with officers from units throughout the department. Results from the focus groups showed evidence of a shift in culture and officer "buy-in," especially with the divisions of the department most closely associated with the model. Participants agreed that DDACTS is an effective and sustainable initiative. The first wave of focus groups identified several areas in need of improvement, most notably with providing training, addressing concerns over resource depletion, and delivery of a clear message about the foundations and goals of the program. Second, the Shawnee SPI team administered surveys to businesses and residents in the DDACTS target area, well after program implementation. Results indicated that a majority of respondents perceived a greater police presence and more traffic stops in the area, and they expressed support for high-visibility, targeted traffic enforcement. Moreover, most respondents stated that DDACTS has improved the quality of life in Shawnee, and the majority rated the relationship between SPD and residents and businesses as very good to excellent. Third, the Shawnee SPI team employed a quantitative impact evaluation of DDACTS by comparing trends in crime over a six-year period (three years pre-implementation and three years post) in the target area and a comparison area. Using both bivariate and interrupted time series analysis, the SPI team demonstrated that the DDACTS model produced statistically significant decreases in robberies (88 percent), commercial burglaries (84 percent), and vehicle crashes (24 percent). The Shawnee SPI experience highlighted several important lessons for police managers and line officers, including recognition of the fundamental connection between crime and traffic problems, the importance of program fidelity through careful implementation, and the need to overcome the tendency to view DDACTS through a "zero tolerance" lens that minimizes the collaborative, data-driven, and problem-solving aspects of the model. - Details: Arlington, VA: CNA Analysis & Solutions, 2015. 23p. Source: Internet Resource: Accessed April 7, 2015 at: http://www.cna.org/sites/default/files/research/Shawnee-Site-Spotlight.pdf Year: 2015 Country: United States URL: http://www.cna.org/sites/default/files/research/Shawnee-Site-Spotlight.pdf Shelf Number: 135171 Keywords: Community PolicingHot-Spots PolicingProblem-Solving PolicingTraffic SafetyViolent Crime |