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The micro-spatial link between open-air drug markets and crime

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TitleInfo
Title
The micro-spatial link between open-air drug markets and crime
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Erken
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Engin
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1984-
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Engin Erken
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author
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NamePart (type = family)
Tuthill
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Louis
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Louis Tuthill
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Advisory Committee
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chair
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Caputo
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Gail A.
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Gail A. Caputo
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Advisory Committee
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co-chair
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Stansfield
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Richard
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Richard Stansfield
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Advisory Committee
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co-chair
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Rutgers University
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degree grantor
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Camden Graduate School
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school
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theses
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2016
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2016-05
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2016
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xx
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eng
Abstract (type = abstract)
In the 1980s, the United States experienced a significant increase in drug offenses and associated fear of crime among residents. Substantial research has been devoted to the proposition of drug addiction and crime to examine whether drug consumption makes addicts commit a crime, or crime-prone individuals are more likely to become drug addicts. However, the research about the relationship between the area where drugs are sold, namely open-air drug markets, and crime rates is sparse. The ecological criminology and opportunity theories that investigate the relationship between the crime and place, as well as informal social control mechanisms inspired many criminologists to investigate the distribution of crime at micro-spatial areas. Advances in the geographic information systems and technology in the late 1980s have allowed scholars to demonstrate crime distribution at micro places, which are very small geographic areas, such as addresses or street segments. Empirical research on micro crime places indicates that less than five percent of these micro settings account around for 50 percent of the offence incidents for an extended period. Additionally, crime significantly clusters at micro places, where illegal drug markets exist, as compared to non-drug hot spots. The current study examines the spatial correlation between open-air drug markets and violent and property crimes at the block level. Considering that using block group or census tract level data fail to capture block by block variation of crime, the variables were constructed from parcel-tax data. Using GeoDa's local spatial autocorrelation (LISA) analysis and regression functionality to identify violent and property crime clusters, results revealed a substantial effect of alcohol-related establishments on the elevated levels of crime that residents experience. The overwhelming impact of alcohol-related establishments on the occurrence of crime incidents hindered to examine the true extent of the role of open-air drug markets associated with the elevated levels of crime. However, the results, in conjunction with the significant body of empirical research on micro crime places, demonstrate that only less than five percent of the city blocks account for the high-high clusters of the offense incidents.
Subject (authority = RUETD)
Topic
Criminal Justice
Subject (authority = ETD-LCSH)
Topic
Drug traffic
Subject (authority = ETD-LCSH)
Topic
Drug abuse and crime
Subject (authority = ETD-LCSH)
Topic
Violent crimes
Subject (authority = ETD-LCSH)
Topic
Offenses against property
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Title
Rutgers University Electronic Theses and Dissertations
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ETD_7378
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electronic resource
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application/pdf
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text/xml
Extent
1 online resource (iii, 35 p. : ill.)
Note (type = degree)
M.A.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Engin Erken
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TitleInfo
Title
Camden Graduate School Electronic Theses and Dissertations
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rucore10005600001
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3TQ63P8
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

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The author owns the copyright to this work.
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Erken
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Engin
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Copyright Holder
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Permission or license
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2016-05-03 13:23:57
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Engin Erken
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Rutgers University. Camden Graduate School
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Author Agreement License
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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
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Copyright protected
Availability
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Open
Reason
Permission or license
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