The DOI matches its Crossref record.
Adapting to Climate Change at the Local Level: The Spatial Planning Response
Abstract
Climate change is a major issue for all levels of government, global, national and local. Local authorities' responses to climate change have tended to concentrate on their role in reducing greenhouse gases. However, the scientific consensus is that we also need to adapt to unavoidable climate change. Spatial planning at a local level has a critical anticipatory role to play in promoting robust adaptation. This paper reviews the shift in local authorities' planning policies for climate change adaptation in the UK since 2000, and provides evidence of underlying attitudes amongst planning professionals to climate change. It shows that, while the issue of climate change is becoming recognized with respect to flood risk, the wider implications (for instance, for biodiversity and water resources) are not yet integrated into plans. The reasons for this lie in lack of political support and lack of engagement of the planning profession with climate change networks. But the paper also argues there are difficulties in acknowledging the need for adaptation at the local level, with the short-term horizons of local plans at odds with perceptions of the long-term implications of climate change.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Anguelovski, I., Shi, L., Chu, E., Gallagher, D., Goh, K., Lamb, Z., Reeve, K., & Teicher, H. (2016) · Journal of Planning Education and Research · doi:10.1177/0739456x16645166 · Cited by 668
(2021) · doi:10.1016/b978-0-12-819871-1.00011-7 · Cited by 9
Metadata
- Authors
- Wilson, E.
- Venue
- Local Environment
- Publisher
- Informa UK Limited
- Published
- 2006-12
- Volume
- 11
- Issue
- 6
- Pages
- 609-625
- ISSN
- 1354-9839 (ISSN-L)
- 1469-6711
- OpenAlex
- W2002666136
- Cited by
- 251
- References
- 0
- FWCI
- 4.56
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Adapting to Climate Change at the Local Level: The Spatial Planning Response. https://app.cochat.ai/papers/10.1080/13549830600853635
- The paper
- Wilson, E. (2006). Adapting to Climate Change at the Local Level: The Spatial Planning Response. Local Environment. https://doi.org/10.1080/13549830600853635
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.