Environmental preferences of homeowners. Further evidence using the AHP method
| Pages | 445-455 |
| DOI | https://doi.org/10.1108/14635780010345391 |
| Date | 01 August 2000 |
| Published date | 01 August 2000 |
| Author | André Bender,Allan Din,Martin Hoesli,Séverin Brocher |
| Subject Matter | Property management & built environment |
Academic papers:
Environmental
preferences
445
Journal of Property Investment &
Finance, Vol. 18 No. 4, 2000,
pp. 445-455. #MCB University
Press, 1463-578X
Received 20 July 1999
Revised 27 March 2000
ACADEMIC PAPERS
Environmental preferences of
homeowners
Further evidence using the AHP method
Andre Bender
Universite de GeneÁve, Geneva, Switzerland
Allan Din
Inter-Survey Consultants, Geneva, Switzerland
Martin Hoesli
Universite de GeneÁve, Geneva, Switzerland and University of Aberdeen,
Aberdeen, UK, and
SeÂverin Brocher
Universite de GeneÁve, Geneva, Switzerland
Keywords Analytical hierarchy process, Real estate, Geographical information systems,
Modelling
Abstract A comparative study of perceptions concerning the environmental quality of
residential real estate in Switzerland based on empirical data collected in three different
linguistic regions is presented. Responses by homeowners in the Geneva, Zurich and Lugano
areas to questionnaires involving pairwise preference criteria are analysed in the framework of
the analytic hierarchy process (AHP). Eight different environmental quality criteria are used and
responses are categorised in terms of indicators concerning the personal situation of the
homeowner. The results show that environmental preference levels across the three cities are in
the 7-18 per cent range. It appears that perceptions are similar for four of the eight criteria,
whereas notable differences exist for the other criteria. Some possible interpretations of these
results are given. Finally, possible extensions to this study are discussed, in particular how the
approach could be integrated in a more detailed spatial analysis of socio-economic data in the
framework of geographic information systems.
Introduction
Tracking real estate values has been the focus of much research since the early
1980s (see for example Hoag, 1980; Ibbotson et al., 1985; Knight et al., 1995).
Such research has also developed in Switzerland, in particular in the area of
price index construction (Bender et al., 1994; Hoesli et al., 1997). The hedonic
pricing model is generally used, by which the value depends on various
physical and locational attributes. Such models are used in several countries to
construct price indices of residential real estate[1]. Such models are widely used
also for real estate appraisal.
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We thank the Swiss National Science Foundation for its financial support (12-45544.95) and an
anonymous referee for helpful comments.
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