RUcore: Rutgers University Community Repository
Situational factors in homicides in a violence-ridden Brazilian favela
Descriptive
TypeOfResource
Text
TitleInfo
(ID = T-1)
Title
Situational factors in homicides in a violence-ridden Brazilian favela
Identifier
ETD_2678
Identifier
(type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10002600001.ETD.000052889
Language
LanguageTerm
(authority = ISO639-2)
English
Genre
(authority = marcgt)
theses
Subject
(ID = SBJ-1);
(authority = RUETD)
Topic
Criminal Justice
Subject
(ID = SBJ-2);
(authority = ETD-LCSH)
Topic
Violence--Brazil--Belo Horizonte
Subject
(ID = SBJ-3);
(authority = ETD-LCSH)
Topic
Crime prevention
Subject
(ID = SBJ-4);
(authority = ETD-LCSH)
Topic
Homicide--Brazil--Belo Horizonte
Subject
(ID = SBJ-5);
(authority = ETD-LCSH)
Topic
Crime--Environmental aspects
Subject
(ID = SBJ-6);
(authority = lcsh/lcnaf)
Geographic
Belo Horizonte (Brazil)
Abstract
This study examines how and why situational factors can create opportunities for young males, mostly those involved in local drug trafficking, to commit homicides with impunity in the Brazilian favela of Alto Vera Cruz (AVC). The study shows how these factors can make murder easy to get away with in certain places, by imposing obstacles that hinder formal and informal mechanisms of control and prevention. Primary data in this study are based on systematic observation of situational features of 100 addresses where homicides had previously been committed in the AVC favela, between 2000 and 2006, and of 100 corresponding addresses in the same favela where no homicides were committed. The data analysis is performed using a matched case-control study in which the traits of specific geographical locations are studied rather than people. The study is unusual in the field of Criminology, in that it exhaustively analyzes the social and geographical characteristics of places in which homicides were committed by using a range of exploratory statistical analysis techniques, and by incorporating the spatial autocorrelation component in a conditional logistic regression model. The results of the regression model show that homicides are more likely to occur in specific settings that both make it easier for criminals to get away with their crimes, and reduce the amount of effort they need to expend in order to evade capture. These settings are characterized by the sale of illegal drugs, proximity to bars, the preponderance of hiding places and escape-routes, and an irregular urban landscape that helps limit surveillance by residents and the public. The findings of this study help encourage alternative responses for the violence that is common in favelas, expanding and complementing existing crime prevention strategies by removing or reducing criminals' opportunities to commit crimes, a key facet of the specialty field of Environmental Criminology.
PhysicalDescription
Form
(authority = gmd)
electronic
Extent
xx, 293 p. : ill.
InternetMediaType
application/pdf
InternetMediaType
text/xml
Note
(type = degree)
Ph.D.
Note
(type = bibliography)
Includes bibliographical references, abstract, vita.
Note
(type = statement of responsibility)
by Elenice De Souza
Name
(ID = NAME-1);
(type = personal)
NamePart
(type = family)
De Souza
NamePart
(type = given)
Elenice
Role
RoleTerm
(authority = RULIB)
author
DisplayForm
Elenice De Souza
Name
(ID = NAME-2);
(type = personal)
NamePart
(type = family)
Clarke
NamePart
(type = given)
Ronald Von
Role
RoleTerm
(authority = RULIB)
chair
Affiliation
Advisory Committee
DisplayForm
Ronald Von Clarke
Name
(ID = NAME-3);
(type = personal)
NamePart
(type = family)
Felson
NamePart
(type = given)
Marcus
Role
RoleTerm
(authority = RULIB)
internal member
Affiliation
Advisory Committee
DisplayForm
Marcus Felson
Name
(ID = NAME-4);
(type = personal)
NamePart
(type = family)
Kelling
NamePart
(type = given)
George
Role
RoleTerm
(authority = RULIB)
internal member
Affiliation
Advisory Committee
DisplayForm
George Kelling
Name
(ID = NAME-5);
(type = personal)
NamePart
(type = family)
Miller
NamePart
(type = given)
Joel
Role
RoleTerm
(authority = RULIB)
internal member
Affiliation
Advisory Committee
DisplayForm
Joel Miller
Name
(ID = NAME-6);
(type = personal)
NamePart
(type = family)
Natarajan
NamePart
(type = given)
Mangai
Role
RoleTerm
(authority = RULIB)
outside member
Affiliation
Advisory Committee
DisplayForm
Mangai Natarajan
Name
(ID = NAME-1);
(type = corporate)
NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
(ID = NAME-2);
(type = corporate)
NamePart
Graduate School - Newark
Role
RoleTerm
(authority = RULIB)
school
OriginInfo
DateCreated
(qualifier = exact)
2010
DateOther
(qualifier = exact);
(type = degree)
2010
Place
PlaceTerm
(type = code)
xx
RelatedItem
(type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
(type = RULIB)
ETD
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/T31V5F26
Genre
(authority = ExL-Esploro)
ETD doctoral
Back to the top
Rights
RightsDeclaration
(AUTHORITY = GS);
(ID = rulibRdec0006)
The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsHolder
(ID = PRH-1);
(type = personal)
Name
FamilyName
De Souza
GivenName
Elenice
Role
Copyright Holder
RightsEvent
(ID = RE-1);
(AUTHORITY = rulib)
Type
Permission or license
DateTime
2010-04-29 10:17:04
AssociatedEntity
(ID = AE-1);
(AUTHORITY = rulib)
Role
Copyright holder
Name
Elenice De Souza
Affiliation
Rutgers University. Graduate School - Newark
AssociatedObject
(ID = AO-1);
(AUTHORITY = rulib)
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.
Back to the top
Technical
ContentModel
ETD
MimeType
(TYPE = file)
application/pdf
MimeType
(TYPE = container)
application/x-tar
FileSize
(UNIT = bytes)
2191360
Checksum
(METHOD = SHA1)
a5a79da123d13ed1f91cf27fe7842ceb657876ec
Back to the top
Statistical Profile