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Testing Ecological Theories of Offender Spatial Decision Making Using a Discrete Choice Model

Research demonstrates that crime is spatially concentrated. However, most research relies on information about where crimes occur, without reference to where offenders reside. This study examines how the characteristics of neighborhoods and their proximity to offender home locations affect offender...

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Detalles Bibliográficos
Autores principales: Johnson, Shane D., Summers, Lucia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4361700/
https://www.ncbi.nlm.nih.gov/pubmed/25866412
http://dx.doi.org/10.1177/0011128714540276
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author Johnson, Shane D.
Summers, Lucia
author_facet Johnson, Shane D.
Summers, Lucia
author_sort Johnson, Shane D.
collection PubMed
description Research demonstrates that crime is spatially concentrated. However, most research relies on information about where crimes occur, without reference to where offenders reside. This study examines how the characteristics of neighborhoods and their proximity to offender home locations affect offender spatial decision making. Using a discrete choice model and data for detected incidents of theft from vehicles (TFV), we test predictions from two theoretical perspectives—crime pattern and social disorganization theories. We demonstrate that offenders favor areas that are low in social cohesion and closer to their home, or other age-related activity nodes. For adult offenders, choices also appear to be influenced by how accessible a neighborhood is via the street network. The implications for criminological theory and crime prevention are discussed.
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spelling pubmed-43617002015-04-10 Testing Ecological Theories of Offender Spatial Decision Making Using a Discrete Choice Model Johnson, Shane D. Summers, Lucia Crime Delinq Articles Research demonstrates that crime is spatially concentrated. However, most research relies on information about where crimes occur, without reference to where offenders reside. This study examines how the characteristics of neighborhoods and their proximity to offender home locations affect offender spatial decision making. Using a discrete choice model and data for detected incidents of theft from vehicles (TFV), we test predictions from two theoretical perspectives—crime pattern and social disorganization theories. We demonstrate that offenders favor areas that are low in social cohesion and closer to their home, or other age-related activity nodes. For adult offenders, choices also appear to be influenced by how accessible a neighborhood is via the street network. The implications for criminological theory and crime prevention are discussed. SAGE Publications 2015-04 /pmc/articles/PMC4361700/ /pubmed/25866412 http://dx.doi.org/10.1177/0011128714540276 Text en © The Author(s) 2014 http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (http://www.uk.sagepub.com/aboutus/openaccess.htm).
spellingShingle Articles
Johnson, Shane D.
Summers, Lucia
Testing Ecological Theories of Offender Spatial Decision Making Using a Discrete Choice Model
title Testing Ecological Theories of Offender Spatial Decision Making Using a Discrete Choice Model
title_full Testing Ecological Theories of Offender Spatial Decision Making Using a Discrete Choice Model
title_fullStr Testing Ecological Theories of Offender Spatial Decision Making Using a Discrete Choice Model
title_full_unstemmed Testing Ecological Theories of Offender Spatial Decision Making Using a Discrete Choice Model
title_short Testing Ecological Theories of Offender Spatial Decision Making Using a Discrete Choice Model
title_sort testing ecological theories of offender spatial decision making using a discrete choice model
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4361700/
https://www.ncbi.nlm.nih.gov/pubmed/25866412
http://dx.doi.org/10.1177/0011128714540276
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