Rees, P orcid.org/0000-0002-4276-9091 and Dennett, A (2019) Alan Wilson - Contributions to Research on Population and Migration. Interdisciplinary Science Reviews, 44 (3-4). pp. 249-271. ISSN 0308-0188
Abstract
This article reviews Alan Wilson's research on population and migration in the 1970s and the 2010s, which supplements his principal contribution - mathematical modelling of urban and regional systems. In the 1970s, drawing on input-output models of economies and working with Philip Rees, Wilson established the accounting basis for Andrei Rogers' multi-regional projection model, adding international migration. Innovative methods were developed to complete demographic accounts, where there were data gaps. In the 2010s, working with Adam Dennett, Wilson systematized methods for estimating migration flows between regions in Europe, employing his family of spatial interaction models. The key aim of both research strands was to ensure that no information was ignored to ensure consistency in population and migration models. The influence of Wilson's contributions to research on population and migration is traced through a survey of subsequent research.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Institute of Materials, Minerals and Mining Published by Taylor & Francis on behalf of the Institute. This is an author produced version of a paper published in Interdisciplinary Science Reviews. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | The work of Professor Sir Alan Wilson, models of urban and regional systems, demographic accounts, demographic projection models, migration estimation, forecasting migration |
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: | 27 Sep 2019 11:26 |
Last Modified: | 27 Nov 2020 01:40 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/03080188.2019.1670428 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:151223 |