Disaggregating the Relationship Between Schools and Crime: A Spatial Analysis
Although an extensive literature exists on crime in schools, surprisingly few studies have examined crime within the vicinity of schools. Schools, like other urban facilities, can generate crime by providing youth opportunities to congregate with little supervision, particularly before and after sch...
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Veröffentlicht in: | Crime and delinquency 2013-03, Vol.59 (2), p.163-190 |
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description | Although an extensive literature exists on crime in schools, surprisingly few studies have examined crime within the vicinity of schools. Schools, like other urban facilities, can generate crime by providing youth opportunities to congregate with little supervision, particularly before and after school hours. Some noteworthy studies have demonstrated that crime is more likely around schools, but the distinctive patterns based on school, time, and spatial contexts have not been fully addressed. The current study examines the differential crime generating potential of schools by type (public/private) and by level (elementary, middle, and high school), taking into account both spatial and temporal indicators. The authors employ a unique methodology for spatial modeling using the matrix exponential spatial expansion. Results indicate that there are distinct patterns of crime associated with schools, which suggests that disaggregating schools is important for understanding spatial patterns of crime. |
doi_str_mv | 10.1177/0011128709348438 |
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Schools, like other urban facilities, can generate crime by providing youth opportunities to congregate with little supervision, particularly before and after school hours. Some noteworthy studies have demonstrated that crime is more likely around schools, but the distinctive patterns based on school, time, and spatial contexts have not been fully addressed. The current study examines the differential crime generating potential of schools by type (public/private) and by level (elementary, middle, and high school), taking into account both spatial and temporal indicators. The authors employ a unique methodology for spatial modeling using the matrix exponential spatial expansion. Results indicate that there are distinct patterns of crime associated with schools, which suggests that disaggregating schools is important for understanding spatial patterns of crime.</description><identifier>ISSN: 0011-1287</identifier><identifier>EISSN: 1552-387X</identifier><identifier>DOI: 10.1177/0011128709348438</identifier><identifier>CODEN: CRDLAL</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>African Americans ; Age Differences ; At Risk Persons ; Congregations ; Crime ; Delinquency ; Disadvantaged Environment ; Elementary Schools ; Family Structure ; Geographic Location ; High Schools ; Hispanic Americans ; Least Squares Statistics ; Matrix calculus ; Middle Schools ; Nebraska ; Predictor Variables ; Private Schools ; Public Schools ; Racial Differences ; School crime ; School Role ; Schools ; Secondary schools ; Socioeconomic Influences ; Spatial Analysis ; Statistical analysis ; Studies ; Supervision ; Urban Areas ; Urban Crime ; Urban life ; Youth</subject><ispartof>Crime and delinquency, 2013-03, Vol.59 (2), p.163-190</ispartof><rights>The Author(s) 2013</rights><rights>Copyright SAGE PUBLICATIONS, INC. 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Schools, like other urban facilities, can generate crime by providing youth opportunities to congregate with little supervision, particularly before and after school hours. Some noteworthy studies have demonstrated that crime is more likely around schools, but the distinctive patterns based on school, time, and spatial contexts have not been fully addressed. The current study examines the differential crime generating potential of schools by type (public/private) and by level (elementary, middle, and high school), taking into account both spatial and temporal indicators. The authors employ a unique methodology for spatial modeling using the matrix exponential spatial expansion. Results indicate that there are distinct patterns of crime associated with schools, which suggests that disaggregating schools is important for understanding spatial patterns of crime.</description><subject>African Americans</subject><subject>Age Differences</subject><subject>At Risk Persons</subject><subject>Congregations</subject><subject>Crime</subject><subject>Delinquency</subject><subject>Disadvantaged Environment</subject><subject>Elementary Schools</subject><subject>Family Structure</subject><subject>Geographic Location</subject><subject>High Schools</subject><subject>Hispanic Americans</subject><subject>Least Squares Statistics</subject><subject>Matrix calculus</subject><subject>Middle Schools</subject><subject>Nebraska</subject><subject>Predictor Variables</subject><subject>Private Schools</subject><subject>Public Schools</subject><subject>Racial Differences</subject><subject>School crime</subject><subject>School Role</subject><subject>Schools</subject><subject>Secondary schools</subject><subject>Socioeconomic Influences</subject><subject>Spatial Analysis</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Supervision</subject><subject>Urban Areas</subject><subject>Urban Crime</subject><subject>Urban life</subject><subject>Youth</subject><issn>0011-1287</issn><issn>1552-387X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>BHHNA</sourceid><recordid>eNqFkM9LwzAUx4MoOKd3L0LBi5dq0iRNctQ5fzEQdAdvJUtfuo6umUmH-N-bUhEZiHmHEL6f9817X4ROCb4kRIgrjAkhmRRYUSYZlXtoRDjPUirF2z4a9XLa64foKIQVjocqMkLqtg66qjxUuqvbKumWkLxAEx-uDct6k9xA9wHQJq9m6VwTEt2WycTXazhGB1Y3AU6-7zGa303nk4d09nz_OLmepYZy3KULlhlrMWaC5pzrXJW0XJRxNCm1AcJA5JgaJamVpRRaC7NQVkWZKWuA0zG6GGw33r1vIXTFug4Gmka34LahIIxJpSTOxf8oJYLLnAkc0fMddOW2vo179BTNOFWsN8QDZbwLwYMtNnFz7T8Lgos-9WI39dhyNrSAr80PPn0iOFbW6-mgx9Th16d_-X0BMZeIaw</recordid><startdate>201303</startdate><enddate>201303</enddate><creator>Murray, Rebecca K.</creator><creator>Swatt, Marc L.</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7U4</scope><scope>8BJ</scope><scope>BHHNA</scope><scope>DWI</scope><scope>FQK</scope><scope>JBE</scope><scope>K7.</scope><scope>WZK</scope></search><sort><creationdate>201303</creationdate><title>Disaggregating the Relationship Between Schools and Crime</title><author>Murray, Rebecca K. ; 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subjects | African Americans Age Differences At Risk Persons Congregations Crime Delinquency Disadvantaged Environment Elementary Schools Family Structure Geographic Location High Schools Hispanic Americans Least Squares Statistics Matrix calculus Middle Schools Nebraska Predictor Variables Private Schools Public Schools Racial Differences School crime School Role Schools Secondary schools Socioeconomic Influences Spatial Analysis Statistical analysis Studies Supervision Urban Areas Urban Crime Urban life Youth |
title | Disaggregating the Relationship Between Schools and Crime: A Spatial Analysis |
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