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Why are older cars stolen?

Descriptive

TitleInfo
Title
Why are older cars stolen?
SubTitle
examining motive, availability, location, and security
Name (type = personal)
NamePart (type = family)
Fujita
NamePart (type = given)
Shuryo
NamePart (type = date)
1977-
DisplayForm
Shuryo Fujita
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Maxfield
NamePart (type = given)
Michael G
DisplayForm
Michael G Maxfield
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)
Miller
NamePart (type = given)
Joel
DisplayForm
Joel Miller
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Newman
NamePart (type = given)
Graeme
DisplayForm
Graeme Newman
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)
2011
DateOther (qualifier = exact); (type = degree)
2011-10
CopyrightDate (qualifier = exact)
2011
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Older cars account for a majority of all stolen cars in the United States. This phenomenon has also been reported in other Western countries. Indices from Australia and the U.K. further reveal that the risk of theft increases as cars become older. This study examines mechanisms of theft of older cars through answering its main research question: “Why are older cars more stolen than their newer counterparts?” The question is addressed from the perspective of availability, security, location, and offender motive. This project utilizes Google Street View for two purposes: (1) to estimate the number of vehicles parked on the sampled streets in Newark; and (2) to measure land use and physical disorder at the street level. Vehicle security is measured by the presence of factory-installed electronic immobilizers. This study draws on the principle of triangulation, gathering an array of evidence from different analyses using data from different sources to investigate mechanisms of theft of older cars. Multilevel negative binominal regression is conducted for the street-level location analyses to examine the impact of physical disorder and land use on the counts of older cars parked and those stolen on the streets. Multilevel logistic regression analyses are performed to determine the effects of predictor variables on the likelihood of cars being stolen, recovered, and stripped of their parts. Results show that older cars are more stolen because there are more older cars available to steal. However, this pattern varies considerably across vehicles makes. Interaction terms indicate that Honda and Toyota become more likely to be stolen as they get older, while the opposite is true for Dodge and Ford. The vast majority of older cars lack electronic immobilizers which are found to reduce the likelihood of cars being stolen. Considering the magnitude of temporary thefts that are committed by opportunistic thieves, vehicle security is the most powerful determinant of theft of older cars. Physical disorder and certain types of land use have some impact on the likelihood of older cars being stolen, but their strength of predicting such an outcome is not close to that of security, vehicle age, and makes.
Subject (authority = RUETD)
Topic
Criminal Justice
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_3641
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
viii, 141 p. : ill.
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = vita)
Includes vita
Note (type = statement of responsibility)
by Shuryo Fujita
Subject (authority = ETD-LCSH)
Topic
Automobile theft--Research--United States
Subject (authority = ETD-LCSH)
Topic
Automobile theft--Statistics
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10002600001.ETD.000063723
RelatedItem (type = host)
TitleInfo
Title
Graduate School - Newark Electronic Theses and Dissertations
Identifier (type = local)
rucore10002600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3NS0SZ0
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
Fujita
GivenName
Shuryo
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2011-09-30 15:56:47
AssociatedEntity
Name
Shuryo Fujita
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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Technical

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2001920
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application/pdf
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application/x-tar
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2007040
Checksum (METHOD = SHA1)
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