Loading…

Estimating secondary school catchment areas and the spatial equity of access

► Develops a novel method for identifying the actual extent of catchment areas that govern school admissions in the UK. ► Makes novel and innovative use of spatial analysis techniques to delineate school catchment areas. ► Demonstrates the importance and potential of public sector information in sup...

Full description

Saved in:
Bibliographic Details
Published in:Computers, environment and urban systems environment and urban systems, 2011-05, Vol.35 (3), p.241-249
Main Authors: Singleton, Alex D., Longley, Paul A., Allen, Rebecca, O’Brien, Oliver
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c422t-7ec0ac8dace9e18269c5851b2bdd636ebc8b82c173e6e0aa59b8b94db4f8d143
cites cdi_FETCH-LOGICAL-c422t-7ec0ac8dace9e18269c5851b2bdd636ebc8b82c173e6e0aa59b8b94db4f8d143
container_end_page 249
container_issue 3
container_start_page 241
container_title Computers, environment and urban systems
container_volume 35
creator Singleton, Alex D.
Longley, Paul A.
Allen, Rebecca
O’Brien, Oliver
description ► Develops a novel method for identifying the actual extent of catchment areas that govern school admissions in the UK. ► Makes novel and innovative use of spatial analysis techniques to delineate school catchment areas. ► Demonstrates the importance and potential of public sector information in supporting individual and household decisions. Following the Educational Reform Act of 1988, families in England and Wales have been free to identify a preferred school for their children’s secondary education. However, as part of this open selection, the demand from parents opting to send their children to the best performing schools far outstrips the supply of available places at them, and consequently many schools ration places using entry criteria that favour those pupils domiciled close to the school. Through this geographic selection process, choice is spatially sorted and access to the best schools is often crucially dependent upon where parents live. After illustrating this problem, this paper develops an automated modelling technique that can be used to define and map school catchment areas based on the home locations of pupils attending every publically funded school in England. It then develops this framework to create a web based decision support tool to aid parents seeking secondary school places.
doi_str_mv 10.1016/j.compenvurbsys.2010.09.006
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_889386055</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0198971510000979</els_id><sourcerecordid>1671405655</sourcerecordid><originalsourceid>FETCH-LOGICAL-c422t-7ec0ac8dace9e18269c5851b2bdd636ebc8b82c173e6e0aa59b8b94db4f8d143</originalsourceid><addsrcrecordid>eNqNkEtrGzEUhUVpIG6a_yAopd2MK81o9KCrEtwHGLrJXmiu7sQy45GjKwf87zupQ6Gb0tVd3O-cAx9j76RYSyH1p_0a8uGI89OpDHSmdSuWj3BrIfQrtpLWdI3prXnNVkI62zgj-2v2hmgvhGiVsiu23VBNh1DT_MAJIc8xlDMn2OU8cQgVdgecKw8FA_EwR153yOm4BMLE8fGU6pnnkQcAJHrLrsYwEd6-3Bt2_3Vzf_e92f789uPuy7YB1ba1MQgigI0B0KG0rXbQ214O7RCj7jQOYAfbgjQdahQh9G6wg1NxUKONUnU37MOl9ljy4wmp-kMiwGkKM-YTeWtdZ7Xo-4X8-E9SaiOV6PVv9PMFhZKJCo7-WBYx5eyl8M-y_d7_Jds_y_bC-UX2kn7_MhQIwjSWMEOiPxWtEkYrbRZuc-Fw0fOUsHiChDNgTAWh-pjTf-39Ah5ynvc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1671405655</pqid></control><display><type>article</type><title>Estimating secondary school catchment areas and the spatial equity of access</title><source>ScienceDirect Freedom Collection 2022-2024</source><creator>Singleton, Alex D. ; Longley, Paul A. ; Allen, Rebecca ; O’Brien, Oliver</creator><creatorcontrib>Singleton, Alex D. ; Longley, Paul A. ; Allen, Rebecca ; O’Brien, Oliver</creatorcontrib><description>► Develops a novel method for identifying the actual extent of catchment areas that govern school admissions in the UK. ► Makes novel and innovative use of spatial analysis techniques to delineate school catchment areas. ► Demonstrates the importance and potential of public sector information in supporting individual and household decisions. Following the Educational Reform Act of 1988, families in England and Wales have been free to identify a preferred school for their children’s secondary education. However, as part of this open selection, the demand from parents opting to send their children to the best performing schools far outstrips the supply of available places at them, and consequently many schools ration places using entry criteria that favour those pupils domiciled close to the school. Through this geographic selection process, choice is spatially sorted and access to the best schools is often crucially dependent upon where parents live. After illustrating this problem, this paper develops an automated modelling technique that can be used to define and map school catchment areas based on the home locations of pupils attending every publically funded school in England. It then develops this framework to create a web based decision support tool to aid parents seeking secondary school places.</description><identifier>ISSN: 0198-9715</identifier><identifier>EISSN: 1873-7587</identifier><identifier>DOI: 10.1016/j.compenvurbsys.2010.09.006</identifier><identifier>CODEN: CEUSD5</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Applied sciences ; Buildings ; Buildings. Public works ; Catchment analysis ; Catchments ; Decision support system ; Decisions ; Education ; Education and research facilities ; Estimating ; Exact sciences and technology ; GIS ; Mathematical models ; Miscellaneous ; Parents ; Percent volume contour ; Pupils ; School ; Types of buildings</subject><ispartof>Computers, environment and urban systems, 2011-05, Vol.35 (3), p.241-249</ispartof><rights>2010 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c422t-7ec0ac8dace9e18269c5851b2bdd636ebc8b82c173e6e0aa59b8b94db4f8d143</citedby><cites>FETCH-LOGICAL-c422t-7ec0ac8dace9e18269c5851b2bdd636ebc8b82c173e6e0aa59b8b94db4f8d143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=24076467$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Singleton, Alex D.</creatorcontrib><creatorcontrib>Longley, Paul A.</creatorcontrib><creatorcontrib>Allen, Rebecca</creatorcontrib><creatorcontrib>O’Brien, Oliver</creatorcontrib><title>Estimating secondary school catchment areas and the spatial equity of access</title><title>Computers, environment and urban systems</title><description>► Develops a novel method for identifying the actual extent of catchment areas that govern school admissions in the UK. ► Makes novel and innovative use of spatial analysis techniques to delineate school catchment areas. ► Demonstrates the importance and potential of public sector information in supporting individual and household decisions. Following the Educational Reform Act of 1988, families in England and Wales have been free to identify a preferred school for their children’s secondary education. However, as part of this open selection, the demand from parents opting to send their children to the best performing schools far outstrips the supply of available places at them, and consequently many schools ration places using entry criteria that favour those pupils domiciled close to the school. Through this geographic selection process, choice is spatially sorted and access to the best schools is often crucially dependent upon where parents live. After illustrating this problem, this paper develops an automated modelling technique that can be used to define and map school catchment areas based on the home locations of pupils attending every publically funded school in England. It then develops this framework to create a web based decision support tool to aid parents seeking secondary school places.</description><subject>Applied sciences</subject><subject>Buildings</subject><subject>Buildings. Public works</subject><subject>Catchment analysis</subject><subject>Catchments</subject><subject>Decision support system</subject><subject>Decisions</subject><subject>Education</subject><subject>Education and research facilities</subject><subject>Estimating</subject><subject>Exact sciences and technology</subject><subject>GIS</subject><subject>Mathematical models</subject><subject>Miscellaneous</subject><subject>Parents</subject><subject>Percent volume contour</subject><subject>Pupils</subject><subject>School</subject><subject>Types of buildings</subject><issn>0198-9715</issn><issn>1873-7587</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqNkEtrGzEUhUVpIG6a_yAopd2MK81o9KCrEtwHGLrJXmiu7sQy45GjKwf87zupQ6Gb0tVd3O-cAx9j76RYSyH1p_0a8uGI89OpDHSmdSuWj3BrIfQrtpLWdI3prXnNVkI62zgj-2v2hmgvhGiVsiu23VBNh1DT_MAJIc8xlDMn2OU8cQgVdgecKw8FA_EwR153yOm4BMLE8fGU6pnnkQcAJHrLrsYwEd6-3Bt2_3Vzf_e92f789uPuy7YB1ba1MQgigI0B0KG0rXbQ214O7RCj7jQOYAfbgjQdahQh9G6wg1NxUKONUnU37MOl9ljy4wmp-kMiwGkKM-YTeWtdZ7Xo-4X8-E9SaiOV6PVv9PMFhZKJCo7-WBYx5eyl8M-y_d7_Jds_y_bC-UX2kn7_MhQIwjSWMEOiPxWtEkYrbRZuc-Fw0fOUsHiChDNgTAWh-pjTf-39Ah5ynvc</recordid><startdate>20110501</startdate><enddate>20110501</enddate><creator>Singleton, Alex D.</creator><creator>Longley, Paul A.</creator><creator>Allen, Rebecca</creator><creator>O’Brien, Oliver</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SU</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7ST</scope><scope>7TG</scope><scope>KL.</scope><scope>SOI</scope></search><sort><creationdate>20110501</creationdate><title>Estimating secondary school catchment areas and the spatial equity of access</title><author>Singleton, Alex D. ; Longley, Paul A. ; Allen, Rebecca ; O’Brien, Oliver</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c422t-7ec0ac8dace9e18269c5851b2bdd636ebc8b82c173e6e0aa59b8b94db4f8d143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Applied sciences</topic><topic>Buildings</topic><topic>Buildings. Public works</topic><topic>Catchment analysis</topic><topic>Catchments</topic><topic>Decision support system</topic><topic>Decisions</topic><topic>Education</topic><topic>Education and research facilities</topic><topic>Estimating</topic><topic>Exact sciences and technology</topic><topic>GIS</topic><topic>Mathematical models</topic><topic>Miscellaneous</topic><topic>Parents</topic><topic>Percent volume contour</topic><topic>Pupils</topic><topic>School</topic><topic>Types of buildings</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Singleton, Alex D.</creatorcontrib><creatorcontrib>Longley, Paul A.</creatorcontrib><creatorcontrib>Allen, Rebecca</creatorcontrib><creatorcontrib>O’Brien, Oliver</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Environment Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Environment Abstracts</collection><jtitle>Computers, environment and urban systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Singleton, Alex D.</au><au>Longley, Paul A.</au><au>Allen, Rebecca</au><au>O’Brien, Oliver</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating secondary school catchment areas and the spatial equity of access</atitle><jtitle>Computers, environment and urban systems</jtitle><date>2011-05-01</date><risdate>2011</risdate><volume>35</volume><issue>3</issue><spage>241</spage><epage>249</epage><pages>241-249</pages><issn>0198-9715</issn><eissn>1873-7587</eissn><coden>CEUSD5</coden><abstract>► Develops a novel method for identifying the actual extent of catchment areas that govern school admissions in the UK. ► Makes novel and innovative use of spatial analysis techniques to delineate school catchment areas. ► Demonstrates the importance and potential of public sector information in supporting individual and household decisions. Following the Educational Reform Act of 1988, families in England and Wales have been free to identify a preferred school for their children’s secondary education. However, as part of this open selection, the demand from parents opting to send their children to the best performing schools far outstrips the supply of available places at them, and consequently many schools ration places using entry criteria that favour those pupils domiciled close to the school. Through this geographic selection process, choice is spatially sorted and access to the best schools is often crucially dependent upon where parents live. After illustrating this problem, this paper develops an automated modelling technique that can be used to define and map school catchment areas based on the home locations of pupils attending every publically funded school in England. It then develops this framework to create a web based decision support tool to aid parents seeking secondary school places.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.compenvurbsys.2010.09.006</doi><tpages>9</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0198-9715
ispartof Computers, environment and urban systems, 2011-05, Vol.35 (3), p.241-249
issn 0198-9715
1873-7587
language eng
recordid cdi_proquest_miscellaneous_889386055
source ScienceDirect Freedom Collection 2022-2024
subjects Applied sciences
Buildings
Buildings. Public works
Catchment analysis
Catchments
Decision support system
Decisions
Education
Education and research facilities
Estimating
Exact sciences and technology
GIS
Mathematical models
Miscellaneous
Parents
Percent volume contour
Pupils
School
Types of buildings
title Estimating secondary school catchment areas and the spatial equity of access
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T07%3A16%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Estimating%20secondary%20school%20catchment%20areas%20and%20the%20spatial%20equity%20of%20access&rft.jtitle=Computers,%20environment%20and%20urban%20systems&rft.au=Singleton,%20Alex%20D.&rft.date=2011-05-01&rft.volume=35&rft.issue=3&rft.spage=241&rft.epage=249&rft.pages=241-249&rft.issn=0198-9715&rft.eissn=1873-7587&rft.coden=CEUSD5&rft_id=info:doi/10.1016/j.compenvurbsys.2010.09.006&rft_dat=%3Cproquest_cross%3E1671405655%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c422t-7ec0ac8dace9e18269c5851b2bdd636ebc8b82c173e6e0aa59b8b94db4f8d143%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1671405655&rft_id=info:pmid/&rfr_iscdi=true