Prediktorji stanovanjske mobilnosti v poznejšem življenjskem obdobju

The article addresses residential mobility in later life from the perspective of the young-old, an under-explored topic in Austria. Data originating from a written survey conducted as part of a cross-sectional case study on people aged 60 to 74 years living in an Austrian small town are used to estimate prospective behaviour using logistic regression. The results show that women and people with a higher educational attainment are more likely to leave their current urban residential municipality, while men are more likely to relocate to a nursing home. Moreover, a duration of residence of 20 or more years decreases the probability of relocation. The findings confirm previous studies and highlight, that more spatially disaggregated data is needed to improve decision-making in town planning.

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Publication Details

Journal
DiRROS repository (University of Maribor)
Published
2025-04-07
Primary Topic
Migration, Aging, and Tourism Studies
Type
article
Field-Weighted Citation Impact
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article

Prediktorji stanovanjske mobilnosti v poznejšem življenjskem obdobju

Tatjana Fischer, Karl Moder, Markus Jobst
DiRROS repository (University of Maribor)
Migration, Aging, and Tourism Studies
article

Prediktorji stanovanjske mobilnosti v poznejšem življenjskem obdobju

Tatjana Fischer, Karl Moder, Markus Jobst
article en

Abstract

The article addresses residential mobility in later life from the perspective of the young-old, an under-explored topic in Austria. Data originating from a written survey conducted as part of a cross-sectional case study on people aged 60 to 74 years living in an Austrian small town are used to estimate prospective behaviour using logistic regression. The results show that women and people with a higher educational attainment are more likely to leave their current urban residential municipality, while men are more likely to relocate to a nursing home. Moreover, a duration of residence of 20 or more years decreases the probability of relocation. The findings confirm previous studies and highlight, that more spatially disaggregated data is needed to improve decision-making in town planning.

DiRROS repository (University of Maribor)
Sustainable cities and communities
Openalex Percentile: Top 12%
Migration, Aging, and Tourism Studies
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