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A System of National Tiered Housing-Market Areas and Spatial Planning

Author

Listed:
  • Colin Jones

    (School for the Built Environment, Heriot-Watt University, Edinburgh EH14 4AS, Scotland)

  • Mike Coombes

    (Centre for Urban and Regional Development Studies, Newcastle University, Newcastle upon Tyne NE1 7RU, England)

  • Cecilia Wong

    (Centre for Urban Policy Studies, Arthur Lewis Building, University of Manchester, Manchester M60 1QD, England)

Abstract

The use of housing market areas (HMAs) has become an important element of spatial planning and regional strategies in the UK. The use of HMAs also fits well within an era of market-responsive planning. In this paper we identify deficiencies in the existing planning advice for defining them in England and Scotland. The result is that the HMAs that have been produced lack consistency and are too often constrained to administrative boundaries for policy convenience. We also review existing academic studies and their theoretical underpinning. On the basis of this analysis we propose a rethink on defining HMAs, arguing for a tiered approach developed consistently on a national basis. We then develop a comprehensive tiered geography of HMAs for the whole of England. The advantages of this approach for spatial planning, and the prospects for its application, are then outlined.

Suggested Citation

  • Colin Jones & Mike Coombes & Cecilia Wong, 2012. "A System of National Tiered Housing-Market Areas and Spatial Planning," Environment and Planning B, , vol. 39(3), pages 518-532, June.
    • Handle: RePEc:sae:envirb:v:39:y:2012:i:3:p:518-532
    DOI: 10.1068/b37172
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    References listed on IDEAS

    as
    1. Alan W. Evans, 1973. "The Economics of Residential Location," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-349-01889-5, December.
    2. Tony Champion & Mike Coombes, 2007. "Using the 2001 census to study human capital movements affecting Britain's larger cities: insights and issues," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(2), pages 447-467, March.
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