The Intention to Move and Residential Location Choice Behaviour
The Intention to Move and Residential Location Choice Behaviour
This paper aims to quantify the extent to which transport and other factors impact on residential decisions using Oxfordshire, UK, as a case study. It investigates the impacts of the current dwelling, household characteristics and alternative properties on the probability of moving. It also highlights the trade-off between access, space and other attributes in residential location choice. Particular emphasis is placed on assessing the impact of transport and location-embedded amenities. A nested logit model is applied to estimate the indirect random utility functions of the intention to move and residential location choice based on stated preference data. The estimation results of the intentions to move model illustrate the impact of housing and household characteristics on the probability of moving. The estimation results of the residential location choice model quantify the trade-offs between transport, amenities and other factors.
1621-1636
Kim, J.H.
449c77b0-dc96-425b-8fad-4b5e214fa93f
Pagliara, F
2abe689c-cfe0-457e-91fe-33c4b8dbe70d
Preston, J.
ef81c42e-c896-4768-92d1-052662037f0b
2005
Kim, J.H.
449c77b0-dc96-425b-8fad-4b5e214fa93f
Pagliara, F
2abe689c-cfe0-457e-91fe-33c4b8dbe70d
Preston, J.
ef81c42e-c896-4768-92d1-052662037f0b
Kim, J.H., Pagliara, F and Preston, J.
(2005)
The Intention to Move and Residential Location Choice Behaviour.
Urban Studies, 42 (9), .
(doi:10.1080/00420980500185611).
Abstract
This paper aims to quantify the extent to which transport and other factors impact on residential decisions using Oxfordshire, UK, as a case study. It investigates the impacts of the current dwelling, household characteristics and alternative properties on the probability of moving. It also highlights the trade-off between access, space and other attributes in residential location choice. Particular emphasis is placed on assessing the impact of transport and location-embedded amenities. A nested logit model is applied to estimate the indirect random utility functions of the intention to move and residential location choice based on stated preference data. The estimation results of the intentions to move model illustrate the impact of housing and household characteristics on the probability of moving. The estimation results of the residential location choice model quantify the trade-offs between transport, amenities and other factors.
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Published date: 2005
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Local EPrints ID: 39506
URI: http://eprints.soton.ac.uk/id/eprint/39506
ISSN: 0042-0980
PURE UUID: 11f7ae3d-9ac8-4e2e-8513-98e77dab2489
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Date deposited: 28 Jun 2006
Last modified: 16 Mar 2024 03:48
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Author:
J.H. Kim
Author:
F Pagliara
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