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Identifying the best context for CCTV camera deployment

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TitleInfo
Title
Identifying the best context for CCTV camera deployment
SubTitle
an analysis of micro-level features
Name (type = personal)
NamePart (type = family)
Piza
NamePart (type = given)
Eric L.
DisplayForm
Eric Piza
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Caplan
NamePart (type = given)
Joel M
DisplayForm
Joel M Caplan
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Clarke
NamePart (type = given)
Ronald V
DisplayForm
Ronald V Clarke
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Kennedy
NamePart (type = given)
Leslie W
DisplayForm
Leslie W Kennedy
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Fisher
NamePart (type = given)
Wayne S
DisplayForm
Wayne S Fisher
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - Newark
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2012
DateOther (qualifier = exact); (type = degree)
2012-05
CopyrightDate (qualifier = exact)
2012
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
CCTV has become a mainstream crime prevention mechanism around the world. Despite the popularity of the technology, evidence of CCTV’s crime prevention capabilities is inconclusive. Little research has attempted to identify factors contributing to this variance. Research designs have been largely one-dimensional in nature with most evaluations exclusively testing CCTV’s deterrence capabilities. Data related to the detection and response to crime has been largely ignored. In addition, units of analysis typically focus on aggregate land usage and fail to capture the unique characteristics of each camera’s surrounding environment. Collectively, these shortcomings have resulted in a lack of “transferrable lessons” that can help identify the ideal context for CCTV. This dissertation is comprised of two separate analyses of the CCTV system in Newark, NJ. The first measured the influence of a series of independent variables on the effectiveness of CCTV. Viewsheds of individual camera sites, rather than the CCTV system as a whole, were utilized as units of analysis. The variables were grouped into five categories: environmental features (14), camera design (2), line of sight (4), enforcement activity (4), and pre-intervention crime levels (1). A series of regression models tested the influence of the independent variables on six separate crime categories. The analysis generated three main findings. First, high levels of proactive surveillance activity resulting in police enforcement were significantly related to the reduction of most crime types. Secondly, certain environmental features had a criminogenic effect in CCTV areas, with the concentration of specific environs being significantly related to crime increases. Thirdly, there may be somewhat of a “deterrence threshold” in respect to CCTV, with a certain level of pre-installation crime being necessary for cameras to produce a crime reduction. These findings influenced the research design of the second analysis, which measured the effect of the overall CCTV system. A Propensity Score Matching technique incorporating pre-intervention crime levels and criminogenic environmental features was utilized to select equivalent control areas. The system-wide analysis found that auto theft was the only crime to have experienced a statistically significant reduction, as well as a diffusion of crime control benefits to the surrounding area. The fact that a large number of cameras in the system produced little-to-no enforcement activity was identified as a contributing factor to the lack of a system-wide reduction of most crime types. The dissertation concludes with a discussion of how police may be able to design CCTV programs in a manner that overcomes traditional barriers to video surveillance, which may maximize their deterrent effect.
Subject (authority = RUETD)
Topic
Criminal Justice
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_4042
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
xiii, 186 p. : ill., maps
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = vita)
Includes vita
Note (type = statement of responsibility)
by Eric L. Piza
Subject (authority = ETD-LCSH)
Topic
Closed-circuit television in police work--New Jersey--Newark--Case studies
Subject (authority = ETD-LCSH)
Topic
Video surveillance--New Jersey--Newark--Case studies
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10002600001.ETD.000065056
RelatedItem (type = host)
TitleInfo
Title
Graduate School - Newark Electronic Theses and Dissertations
Identifier (type = local)
rucore10002600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T30Z728T
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Piza
GivenName
Eric
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2012-04-27 10:04:21
AssociatedEntity
Name
Eric Piza
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - Newark
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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