RUcore: Rutgers University Community Repository
Identifying risky places for crime
Descriptive
TitleInfo
Title
Identifying risky places for crime
SubTitle
an analysis of the criminogenic spatiotemporal influences of landscape features on street robberies
Name
(type = personal)
NamePart
(type = family)
Irvin-Erickson
NamePart
(type = given)
Yasemin
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Yasemin Irvin-Erickson
Role
RoleTerm
(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Caplan
NamePart
(type = given)
Joel M.
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Joel M. Caplan
Affiliation
Advisory Committee
Role
RoleTerm
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chair
Name
(type = personal)
NamePart
(type = family)
Kennedy
NamePart
(type = given)
Leslie W.
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Leslie W. Kennedy
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Griffiths
NamePart
(type = given)
Elizabeth
DisplayForm
Elizabeth Griffiths
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Gibbs Van Brunschot
NamePart
(type = given)
Erin
DisplayForm
Erin Gibbs Van Brunschot
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)
2014
DateOther
(qualifier = exact);
(type = degree)
2014-10
CopyrightDate
(encoding = w3cdtf)
2014
Place
PlaceTerm
(type = code)
xx
Language
LanguageTerm
(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
In environmental criminology, it is widely accepted that crime risk is affected by the legitimate and illegitimate activities hosted at places. Most studies exploring this influence use the concepts of environmental criminology to explain how landscape features (such as cash businesses, illegal markets) can promote criminal behavior. However, studies based on place-based indicators provide an incomplete picture of crime emergence. First, most studies assume a temporally uniform crime-generating influence of landscape features, ignoring the social relevancy of these features at different times. Second, in most crime and place studies, the spatial influence—the ways in which features of a landscape affect places throughout the landscape (Caplan, 2011, p. 57)— is operationalized arbitrarily (Ratcliffe, 2012). Moreover, few studies examine the interactivity of the criminogenic spatial influences of different landscape features on crime risk (Caplan et al., 2011). To address these limitations, this dissertation examined the individual and combined criminogenic spatiotemporal influences of landscape features on 2010 street robbery risk in the City of Newark, NJ, using the principles of Risk Terrain Modeling. Street robberies were classified into six daily and hourly temporal groups. According to the results of this dissertation, criminogenic features are different for different time models, and the extent and weight of their criminogenic influences vary between and within time nested models. At-risk housing, schools, churches, grocery stores, hair and nail salons, pawn shops, sit-down restaurants, and take-out restaurants are the only features that have round-the clock criminogenic influences on street robberies in all time models. Drug charges, pawn shops, grocery stores, take-out restaurants, and hair and nail salons exert the strongest criminogenic spatial influences in different time models. At-risk housing’s, schools’, and churches’ criminogenic influences are statistically significant, albeit weak. High-risk micro places identified by the combined criminogenic spatiotemporal influences of landscape features are high likely places for street robberies in Newark, NJ.
Subject
(authority = RUETD)
Topic
Criminal Justice
RelatedItem
(type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
(type = RULIB)
ETD
Identifier
ETD_5811
PhysicalDescription
Form
(authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (x, 149 p. : ill.)
Note
(type = degree)
Ph.D.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = vita)
Includes vita
Subject
(authority = ETD-LCSH)
Topic
Criminal psychology
Subject
(authority = ETD-LCSH)
Topic
Crime--Environmental aspects
Subject
(authority = ETD-LCSH)
Topic
Robberies
Note
(type = statement of responsibility)
by Yasemin Irvin-Erickson
RelatedItem
(type = host)
TitleInfo
Title
Graduate School - Newark Electronic Theses and Dissertations
Identifier
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rucore10002600001
Location
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(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T3QR4ZR5
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
Irvin-Erickson
GivenName
Yasemin
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = start)
2014-09-04 17:00:08
AssociatedEntity
Name
Yasemin Irvin-Erickson
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.
RightsEvent
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = start)
2014-10-31
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = end)
2016-10-30
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after October 30th, 2016.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
RULTechMD
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ContentModel
ETD
OperatingSystem
(VERSION = 5.1)
windows xp
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