Estimating secondary school catchment areas and the spatial equity of access

Abstract 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.

[1]  David I. Ashby,et al.  Teenage pregnancy-new tools to support local health campaigns. , 2009, Health & place.

[2]  B. Warf,et al.  Encyclopedia of human geography , 2006 .

[3]  Charles Sutcliffe,et al.  Designing Secondary School Catchment Areas Using Goal Programming , 1986 .

[4]  The consequences for social and ability stratification , 2006 .

[5]  D. Reay,et al.  A Market in Waste: Psychic and structural dimensions of school-choice policy in the UK and children's narratives on 'demonized' schools , 2002 .

[6]  Chris Brunsdon,et al.  A Bayesian Approach to Schools' Catchment-based Performance Modelling , 2001 .

[7]  Shashi Shekhar,et al.  Geospatial Analysis , 2008, Encyclopedia of GIS.

[8]  Chris Taylor The geography of choice and diversity in the ‘new’ secondary education market of England , 2001 .

[9]  J. Crampton Cartography: maps 2.0 , 2009 .

[10]  Rebecca Allen,et al.  Allocating Pupils to Their Nearest Secondary School: The Consequences for Social and Ability Stratification , 2007 .

[11]  Michael J de Smith,et al.  Geospatial Analysis: A Comprehensive Guide to Principles, Techniques and Software Tools , 2007 .

[12]  Carol Vincent,et al.  ’I Heard It on the Grapevine’: ‘hot’ knowledge and school choice , 1998 .

[13]  J. Stillwell,et al.  Using PLASC data to identify patterns of commuting to school, residential migration and movement between schools in Leeds , 2007 .

[14]  S. Chainey,et al.  GIS and Crime Mapping , 2005 .

[15]  Simon Burgess,et al.  Neighborhoods, Ethnicity and School Choice: Developing a Statistical Framework for Geodemographic Analysis , 2007 .

[16]  Alex Singleton Exploratory Cartographic Visualisation of London using the Google Maps API , 2008 .

[17]  P. Rees,et al.  Creating the UK National Statistics 2001 output area classification , 2007 .

[18]  S. Ball,et al.  Markets, choice, and equity in education , 1995 .

[19]  George Bramley,et al.  The Value of School Locations , 1996 .

[20]  S. Ball Education Markets, Choice and Social Class: the market as a class strategy in the UK and the USA , 1993 .

[21]  Peter M. Atkinson,et al.  Investigating the spatial linkage of primary school performance and catchment characteristics , 2001 .

[22]  W. Bartlett Quasi-Markets and Educational Reforms , 1993 .

[23]  David T. Herbert,et al.  School performance, league tables and social geography , 1998 .

[24]  J. Pearce,et al.  Techniques for defining school catchment areas for comparison with census data , 2000 .

[25]  M. Guagliardo,et al.  International Journal of Health Geographics Open Access Spatial Accessibility of Primary Care: Concepts, Methods and Challenges , 2022 .

[26]  Alex Singleton,et al.  An Exploratory Cartographic Visualisation of London through the Google Maps API , 2008 .