Ford, A;
Barr, S;
Dawson, R;
Virgo, J;
Batty, M;
Hall, J;
(2019)
A multi-scale urban integrated assessment framework for climate change studies: A flooding application.
Computers, Environment and Urban Systems
, 75
pp. 229-243.
10.1016/j.compenvurbsys.2019.02.005.
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Abstract
In order to assess the potential future impacts of climate change on urban areas, tools to assist decision-makers to understand future patterns of risk are required. This paper presents a modelling framework to allow the downscaling of national- and regional-scale population and employment projections to local scale land-use changes, providing scenarios of future socio-economic change. A coupled spatial interaction population model and cellular automata land development model produces future urbanisation maps based on planning policy scenarios. The framework is demonstrated on Greater London, UK, with a set of future population and land-use scenarios being tested against flood risk under climate change. The framework is developed in Python using open-source databases and is designed to be transferable to other cities worldwide.
| Type: | Article |
|---|---|
| Title: | A multi-scale urban integrated assessment framework for climate change studies: A flooding application |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.compenvurbsys.2019.02.005 |
| Publisher version: | https://doi.org/10.1016/j.compenvurbsys.2019.02.00... |
| Language: | English |
| Additional information: | © 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/). |
| Keywords: | Climate change, Cities, Urban planning, Land-use, Transport, Flooding |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10070583 |
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