Stillwell, JCH and Thomas, M (2016) How far do internal migrants really move? Demonstrating a new method for the estimation of intra-zonal distance. Regional Studies, Regional Science, 3 (1). 28 - 47.
Abstract
Although population censuses in the United Kingdom provide the most detailed data on internal migration, they do not reveal with any degree of precision how far people travel when they make a permanent change of usual address. This paper makes use of alternative data from a large consumer survey to estimate distances of migration within England in the mid-2000s. Following a review of previous approaches to migration distance measurement and modelling, this paper seeks to evaluate the accuracy of conventional distance estimation methods and provide the basis for a new regression-based method of estimating intra-zonal distance. The new approach, which can be applied whenever different aggregations of the flow matrix and spatial units are available, is shown to result in significantly improved goodness of fit statistics for doubly constrained spatial interaction models.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 The Author(s). Published by Taylor & Francis. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Internal migration; residential mobility; distance; postcodes; centroids; England; spatial interaction model |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Dec 2015 10:39 |
Last Modified: | 12 Feb 2019 13:15 |
Published Version: | http://dx.doi.org/10.1080/21681376.2015.1109473 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/21681376.2015.1109473 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:92884 |