Hincks, S. orcid.org/0000-0001-5599-2076, Carter, J. and Connelly, A. (2023) A new typology of climate change risk for European cities and regions: principles and applications. Global Environmental Change, 83. 102767. ISSN 0959-3780
Abstract
This paper aims to contribute to the analysis of climate change risk through the development of a new spatially-explicit typology of climate risk for European cities and regions. In doing so, it offers a direct response to the Intergovernmental Panel on Climate Change (IPCC) call to advance awareness of climate change risks at sub-national levels through the integration of hazard, exposure and vulnerability domains into a composite risk classification that covers the whole of Europe. K-means clustering was applied to 49 variables at NUTS3 level where the final classification resulted in an upper-tier of eight ‘classes’, which were subsequently partitioned to derive a lower-tier of 31 ‘sub-classes’. A three-stage analysis of the eight-fold class configuration was then undertaken focusing on the distribution of climate risk classes, raising significant issues to inform climate change adaptation planning policy, practice and research. The analysis revealed an uneven distribution of climate change risk across the 33 countries covered by the typology, reinforcing the IPCC message that adapting and building resilience to climate change risk is not a ‘one-size-fits-all’ exercise. In the second stage, the analysis focused on determining whether there was a difference in the climate change risk facing different settlement types in Europe. The analysis revealed the extent of variation in the climate change risk characteristics of Europe’s urban and rural areas, revealing the potential for peri-urban areas to fall between climate change risk agendas or priorities when compared to urban–rural contexts. The final component of our analysis considered the extent to which climate change risk classes exhibit patterns of spatial clustering. Here we found that climate change risk exhibits evidence of spatial clustering but the extent of the clustering varies between different classes as the relationship between contiguous NUTS3 regions changes. This finding has notable implications for transboundary adaptation planning where discontinuities in political buy-in, competition, resourcing and awareness of risk could serve to undermine the coherence and adequacy of policy responses at a time when greater cooperation and alignment is needed.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 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; Regions; Europe; Climate change risk; Climate change adaptation |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Urban Studies & Planning (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 653522 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 30 Oct 2023 14:20 |
Last Modified: | 30 Oct 2023 14:20 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.gloenvcha.2023.102767 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:204690 |