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The nexus between contexts of crime risk and socioeconomic inequality on the rate of violent crime victimization
Descriptive
TitleInfo
Title
The nexus between contexts of crime risk and socioeconomic inequality on the rate of violent crime victimization
SubTitle
evidence from variations across neighborhoods in Bogotá, Chicago, and Paris
Name
(type = personal)
NamePart
(type = family)
Giménez Santana
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(type = given)
Alejandro
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(type = date)
1987-
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Alejandro Giménez Santana
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(authority = RULIB)
author
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(type = personal)
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(type = family)
Kennedy
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(type = given)
Leslie W.
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Leslie W. Kennedy
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Advisory Committee
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chair
Name
(type = personal)
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(type = family)
Caplan
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(type = given)
Joel M.
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Joel M. Caplan
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Advisory Committee
Role
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(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Seiglie
NamePart
(type = given)
Carlos
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Carlos Seiglie
Affiliation
Advisory Committee
Role
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(authority = RULIB)
internal member
Name
(type = personal)
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(type = family)
Drawve
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(type = given)
Grant
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Grant Drawve
Affiliation
Advisory Committee
Role
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(authority = RULIB)
outside member
Name
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NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
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NamePart
Graduate School - Newark
Role
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(authority = RULIB)
school
TypeOfResource
Text
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theses
OriginInfo
DateCreated
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2018
DateOther
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2018-10
CopyrightDate
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2018
Place
PlaceTerm
(type = code)
xx
Language
LanguageTerm
(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
This study presents a novel approach to the study of neighborhood effects on crime. In this sense, it tests the varying influences that unique contexts of crime risk and socioeconomic inequality present on the spatial distribution of violent crime victimization rates across neighborhoods in the cities of Bogotá, Chicago, and Paris.
This analysis utilizes both micro and neighborhood-level social and physical variables to study the spatial association between unique contexts of relative deprivation and crime risk with an increase in neighborhood-level violent crime rates. The presence of risky environments across neighborhoods is measured with ANROC and calculated using the RTM technique. The second independent variable is based on neighborhood-level Gini index data for income inequality. The association between the two predictors is tested using different multivariate OLS regression models.
As per the results of this research, unique contexts of socioeconomic inequality and environmental risk are positively associated with an increase in neighborhood-level rates of violent crime victimization. This spatial relationship holds across the three case studies presented in this study with varying degrees of association regarding the inequality measure in three case studies.
The current study proposes combining the study of community-specific contexts of crime risk and social contexts of socioeconomic inequality to explain the spatial distribution of violent crime rates across neighborhoods in a variety of study settings. The policy implications of this research study support the need for scientific evidence in the development of community-based strategies to improve risk management efforts to prevent and reduce violent crime. Additionally, community outreach programs and other social initiatives should be established to reduce the pervasive effect created by unique social contexts of socioeconomic inequality across neighborhoods.
This analysis utilizes both micro and neighborhood-level social and physical variables to study the spatial association between unique contexts of relative deprivation and crime risk with an increase in neighborhood-level violent crime rates. The presence of risky environments across neighborhoods is measured with ANROC and calculated using the RTM technique. The second independent variable is based on neighborhood-level Gini index data for income inequality. The association between the two predictors is tested using different multivariate OLS regression models.
As per the results of this research, unique contexts of socioeconomic inequality and environmental risk are positively associated with an increase in neighborhood-level rates of violent crime victimization. This spatial relationship holds across the three case studies presented in this study with varying degrees of association regarding the inequality measure in three case studies.
The current study proposes combining the study of community-specific contexts of crime risk and social contexts of socioeconomic inequality to explain the spatial distribution of violent crime rates across neighborhoods in a variety of study settings. The policy implications of this research study support the need for scientific evidence in the development of community-based strategies to improve risk management efforts to prevent and reduce violent crime. Additionally, community outreach programs and other social initiatives should be established to reduce the pervasive effect created by unique social contexts of socioeconomic inequality across neighborhoods.
Subject
(authority = RUETD)
Topic
Global Affairs
Subject
(authority = ETD-LCSH)
Topic
Neighborhoods
Subject
(authority = ETD-LCSH)
Topic
Equality
Subject
(authority = ETD-LCSH)
Topic
Crime
RelatedItem
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
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ETD
Identifier
ETD_9170
PhysicalDescription
Form
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electronic resource
InternetMediaType
application/pdf
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text/xml
Extent
1 online resource (158 pages) : illustrations
Note
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Ph.D.
Note
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Includes bibliographical references
Note
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by Alejandro Giménez Santana
RelatedItem
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TitleInfo
Title
Graduate School - Newark Electronic Theses and Dissertations
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rucore10002600001
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NjNbRU
Identifier
(type = doi)
doi:10.7282/t3-z1m0-wh62
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
Giménez Santana
GivenName
Alejandro
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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(qualifier = exact);
(point = start)
2018-08-31 09:38:39
AssociatedEntity
Name
Alejandro Giménez Santana
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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2018-09-05T15:28:18
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2018-09-05T15:28:18
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