kth.sePublications KTH
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Climate threats to coastal infrastructure and sustainable development outcomes
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems. KTH, School of Industrial Engineering and Management (ITM), Centres, KTH Climate Action Centre, CAC. Environmental Change Institute, University of Oxford, Oxford, UK.ORCID iD: 0000-0002-0829-925X
Environmental Change Institute, University of Oxford, Oxford, UK.
Environmental Change Institute, University of Oxford, Oxford, UK.
Environmental Change Institute, University of Oxford, Oxford, UK.
Show others and affiliations
2024 (English)In: Nature Climate Change, ISSN 1758-678X, E-ISSN 1758-6798, Vol. 14, no 4, p. 344-352Article in journal (Refereed) Published
Abstract [en]

Climate hazards pose increasing threats to development outcomes across the world’s coastal regions by impacting infrastructure service delivery. Using a high-resolution dataset of 8.2 million households in Bangladesh’s coastal zone, we assess the extent to which infrastructure service disruptions induced by flood, cyclone and erosion hazards can thwart progress towards the Sustainable Development Goals (SDGs). Results show that climate hazards potentially threaten infrastructure service access to all households, with the poorest being disproportionately threatened in 69% of coastal subdistricts. Targeting adaptation to these climatic threats in one-third (33%) of the most vulnerable areas could help to safeguard 50–85% of achieved progress towards SDG 3, 4, 7, 8 and 13 indicators. These findings illustrate the potential of geospatial climate risk analyses, which incorporate direct household exposure and essential service access. Such high-resolution analyses are becoming feasible even in data-scarce parts of the world, helping decision-makers target and prioritize pro-poor development.

Place, publisher, year, edition, pages
Springer Nature , 2024. Vol. 14, no 4, p. 344-352
National Category
Climate Science
Identifiers
URN: urn:nbn:se:kth:diva-367073DOI: 10.1038/s41558-024-01950-2ISI: 001176338700001Scopus ID: 2-s2.0-85186389214OAI: oai:DiVA.org:kth-367073DiVA, id: diva2:1984168
Note

Correction in DOI 10.1038/s41558-024-01974-8

QC 20250715

Available from: 2025-07-15 Created: 2025-07-15 Last updated: 2025-07-15Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Adshead, Daniel

Search in DiVA

By author/editor
Adshead, Daniel
By organisation
Energy SystemsKTH Climate Action Centre, CAC
In the same journal
Nature Climate Change
Climate Science

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 63 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf