Evaluating the effects of closed -circuit television on crime in public housing: An application of GIS and spatial statistics.
Item
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Title
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Evaluating the effects of closed -circuit television on crime in public housing: An application of GIS and spatial statistics.
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Identifier
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AAI3083616
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identifier
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3083616
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Creator
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Williamson, Douglas Adam.
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Contributor
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Includes supplementary digital materials | Chair: Sara McLafferty
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Date
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2003
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Language
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English
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Publisher
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City University of New York.
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Subject
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Geography | Sociology, Criminology and Penology | Sociology, Public and Social Welfare
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Abstract
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In recent years, the use of Closed Circuit Television (CCTV) as tool for crime prevention has been on the rise. While there has been some research, primarily in Great Britain, on the effectiveness of CCTV in reducing crime many of the studies show mixed results. These studies have looked at the spatial and temporal components of crime change caused by CCTV, but the robustness of the analyses has been a source of debate.;Nowhere is crime prevention more of a concern than in the nation's public housing developments. Here, residents and police have teamed to address the problem of crime reduction through a number of preventive measures, including the use of CCTV. Several cities including Boston, Mass., Camden, N.J., and Garfield, N.J. have already installed CCTV in select public housing projects to reduce the rates of crime. While CCTV is present in a variety of locales, its presence in certain New York City public housing is particularly noteworthy. Considering the expense of installing and operating a large scale CCTV system, the attention given to other crime prevention strategies in New York City, and the importance of resident safety in public housing, it certainly is useful to examine the effects, if any, of CCTV on crime.;The purpose of this research is to examine the impacts of CCTV on crime for a large public housing development in New York City that recently acquired CCTV and a matched 'control' project that does not have CCTV. This research explores the effects of CCTV on crime incidence in and around public housing. It utilizes a number of statistically robust space-time techniques to assess the geographical patterns of crime change near the two housing projects. For each method, the results are discussed and strengths and weaknesses are compared. The techniques included in the analyses are inferential statistics based on count data, density estimation and segmented regression, local indicators of spatial autocorrelation (LISA), raised incidence models and animation. The analyses are performed for different categories of crime including major felonies, violations, and misdemeanors, as well as for different categories of arrests.* (Abstract shortened by UMI.).;*This dissertation is multimedia (contains text and other applications not available in printed format). The CD requires the following system requirement: Quicktime.
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Type
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dissertation
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Source
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PQT Legacy CUNY.xlsx
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degree
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Ph.D.
