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A longitudinal analysis of moving desires, expectations and actual moving behaviour

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vanHam_2011_EPA_Longitudinal_AM.pdf (356.7Kb)
Date
11/2011
Author
Coulter, Rory Christopher
Van Ham, Maarten
Feijten, Peteke
Keywords
GF Human ecology. Anthropogeography
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Abstract
Residential mobility theory proposes that moves are often preceded by the expression of moving desires and expectations. Much research has investigated how individuals form these premove thoughts, with a largely separate literature examining actual mobility. Although a growing number of studies link premove thoughts to subsequent moving behaviour, these often do not distinguish explicitly between different types and combinations of premove thoughts. Using 1998-2006 British Household Panel Survey data, this study investigates whether moving desires and expectations are empirically distinct premove thoughts. Using multinomial regression models we demonstrate that moving desires and expectations have different meanings, and are often held in combination: the factors associated with expecting to move differ depending upon whether the move is also desired (and vice versa). Next, using panel logistic regression models, we show that different desire expectation combinations have different effects on the probability of subsequent moving behaviour. The study identified two important groups generally overlooked in the literature: those who expect undesired moves and those who desire to move without expecting this to happen.
Citation
Coulter , R C , Van Ham , M & Feijten , P 2011 , ' A longitudinal analysis of moving desires, expectations and actual moving behaviour ' , Environment and Planning A , vol. 43 , no. 11 , pp. 2742-2760 . https://doi.org/10.1068/a44105
Publication
Environment and Planning A
Status
Peer reviewed
DOI
https://doi.org/10.1068/a44105
ISSN
0308-518X
Type
Journal article
Rights
Copyright 2011 Pion Ltd and its Licensors. Coulter R, van Ham M, Feijten P, 2011. The definitive, peer-reviewed and edited version of this article is published in Environment and Planning A 43(11), 2011, doi:10.1068/a44105
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/6569

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