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An analysis of internationally exported vehicle thefts in two high-risk cities

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TitleInfo
Title
An analysis of internationally exported vehicle thefts in two high-risk cities
Name (type = personal)
NamePart (type = family)
Block
NamePart (type = given)
Steven
NamePart (type = date)
1984-
DisplayForm
Steven Block
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Clarke
NamePart (type = given)
Ronald V
DisplayForm
Ronald V Clarke
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
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)
Finckenauer
NamePart (type = given)
James O.
DisplayForm
James O. Finckenauer
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Maxfield
NamePart (type = given)
Michael G.
DisplayForm
Michael G. Maxfield
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
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Motor vehicle theft costs the United States billions of dollars each year in direct and indirect losses. More specifically, vehicle theft in areas near borders and ports has been cited as a significant growing problem in both academic studies and media reports. Although no reliable measure of international vehicle theft exists, the National Insurance Crime Bureau and other agencies acknowledge that a disproportionate number of vehicles are stolen in cities and towns near borders and ports. Yet, with few exceptions, research studies have not focused on vehicle theft in these high-risk areas. This dissertation utilizes incident-level data from a U.S.-Mexico border area city (Chula Vista, California) and a U.S. port area city (Newark, New Jersey) to investigate vehicle theft patterns related to exporting in the two locations. Two separate analyses were conducted using recovery status and recovery country as dependent variables in logistic regression models. Predictor variables were constructed based on previous research findings and expectations from a rational choice framework. In the multivariate comparison between unrecovered vehicles and recovered vehicles in both sites, few significant predictors emerged. Overall, there were more statistically significant predictors in Chula Vista than in Newark. Specifically, in Chula Vista, iii unrecovered vehicle thefts are more likely to be larger vehicle types. In a second analysis, vehicles stolen in Chula Vista and recovered in Mexico were compared to a random sample of vehicles stolen in Chula Vista and recovered domestically. Vehicles stolen in Chula Vista and recovered in Mexico are significantly younger and more expensive than vehicles recovered in the U.S. Additionally, sports utility vehicles and pick-up trucks are more likely to be taken to Mexico, while 2-door cars are more likely to be recovered domestically. The current study provides partial support for a link between rational choice perspective’s focus on increasing rewards and professional vehicle theft in Mexico. It appears that less consideration is given to reducing effort and risk by professional thieves in these areas in comparison to amateur thieves. From a policy standpoint, this study indicates that prevention efforts should target certain vehicles in border cities and focus less on space and time.
Subject (authority = RUETD)
Topic
Criminal Justice
Subject (authority = ETD-LCSH)
Topic
Automobile theft--New Jersey--Newark--Case studes
Subject (authority = ETD-LCSH)
Topic
Automobile theft--California--Chula Vista--Case studes
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_4019
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
ix, 150 p. : ill.
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = vita)
Includes vita
Note (type = statement of responsibility)
by Steven Block
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10002600001.ETD.000065011
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/T3V123R2
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
Block
GivenName
Steven
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2012-04-23 18:59:40
AssociatedEntity
Name
Steven Block
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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application/pdf
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1361920
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