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Modelling the influence of location on value

Paul Gallimore (Head of the Division of Property and Construction, Management in the Business School, Staffordshire University)
Michael Fletcher (Principal Lecturer at the School of Computing, Staffordshire University, Stoke‐on‐Trent, UK)
Matthew Carter (Senior Lecturer at the School of Computing, Staffordshire University, Stoke‐on‐Trent, UK)

Journal of Property Valuation and Investment

ISSN: 0960-2712

Article publication date: 1 March 1996

2715

Abstract

Describes an attempt to predict the value of private properties in the Stafford area from information typically available about the properties’ physical characteristics and location. Discusses the factors influencing property values, including the complicating effect of location, and attempts to build a predictive model using the statistical technique of multiple regression analysis, based on physical characteristics only and ignoring the effect of location. Makes further refinements to the predictions produced by incorporating an additional location effect modelled by means of surface‐fitting techniques within a geographical information system. The results, many of which are presented graphically, are shown to be a significant improvement on the location‐blind model. Offers suggested directions for further research and development of the technique.

Keywords

Citation

Gallimore, P., Fletcher, M. and Carter, M. (1996), "Modelling the influence of location on value", Journal of Property Valuation and Investment, Vol. 14 No. 1, pp. 6-19. https://doi.org/10.1108/14635789610107444

Publisher

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MCB UP Ltd

Copyright © 1996, MCB UP Limited

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