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2018 | OriginalPaper | Chapter

9. Investigating and Modelling Potential Demand for Retirement Housing: The Australian Context

Authors : Robert J. Stimson, Tung-Kai Shyy

Published in: Modelling Aging and Migration Effects on Spatial Labor Markets

Publisher: Springer International Publishing

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Abstract

Population ageing, which is being driven-up as the ‘baby boomer’ generation are reaching the traditional retirement age, will generate an increased demand for housing alternatives that are more suitable for older people, including retirement village living. Key questions to ask are: (a) what will be the level and propensity for older people to seek to ‘downsize’ rather than ‘age in place’?; (b) what motivates them to do so?; (c) what role do retirement villages play as a housing alternative for older people and what will be the level of demand?; and (d) what will be the locations that are best to develop new villages? Demographic and spatial modelling approaches, as developed by regional scientists, may be used to help address these issues.

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Footnotes
1
That book reported on research undertaken in a project funded by the Australian Research Council’s ARC Linkage program. That research was undertaken in collaboration with the industry peak body, which was then the Retirement Village Association (RVA).
 
2
An index of 1 indicates that an LGA contains the same proportion of persons aged 75 years and over as the average proportion across the State as a whole. An index greater than 1 indicates that there is a greater proportion of persons in the LGA that are aged 75 years and over compared with that for the State as a whole. An index of less than 1 indicates that a smaller proportion of persons in the LGA are aged 75 years and over compared with that for the state as a whole.
 
3
However, the developer did not proceed with the development rights for the site in question.
 
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Metadata
Title
Investigating and Modelling Potential Demand for Retirement Housing: The Australian Context
Authors
Robert J. Stimson
Tung-Kai Shyy
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-68563-2_9