Lomax, N orcid.org/0000-0001-9504-7570, Smith, AP, Archer, L et al. (2 more authors) (2022) An Open-Source Model for Projecting Small Area Demographic and Land-Use Change. Geographical Analysis. ISSN 0016-7363
Abstract
The size, composition, and spatial distribution of both people and households have a substantial impact on the demand for and development and delivery of infrastructure required to support the population. Infrastructure encompasses a wide range of domains including energy, transport, and water, each of which has its own set of spatial catchments at differing scales. Demographic projections are required to assess potential future demand; however, official projections are usually not provided at a high level of spatial resolution required for infrastructure planning. Furthermore, generating bespoke demographic projections, often incorporating a range of scenarios of possible future demographic change is a specialist, resource intensive job and as such is often missing from infrastructure development projects. In this paper we make the case that such demographic projections should be at the heart of infrastructure planning and present a set of open-source models which can be used to undertake this demographic projection work, thus providing the tools needed to fill the identified gap. We make use of a case study for the United Kingdom to exemplify how a range of scenarios can be assessed using our model.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Authors. Geographical Analysis published by Wiley Periodicals LLC on behalf of The Ohio State University. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
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: | 01 Apr 2022 14:56 |
Last Modified: | 25 Jun 2023 22:56 |
Status: | Published online |
Publisher: | Wiley |
Identification Number: | 10.1111/gean.12320 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:185332 |