Evidence map›Paper›PMID 38750094›Full record

ArticleScientific data2024

Comparing built-up area datasets to assess urban exposure to coastal hazards in Europe.

Hedda Bonatz, Lena Reimann, Athanasios T Vafeidis

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hedda BonatzCoastal Risks and Sea-level Rise Research Group, Department of Geography, Christian-Albrechts University Kiel, Ludewig-Meyn-Straße 8, 24118, Kiel, Germany. bonatz@geographie.uni-kiel.de.ORCID http://orcid.org/0000-0002-1480-6588
Lena ReimannInstitute for Environmental Studies, VU University, De Boelelaan 1087, 1081 HV, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-9405-9147
Athanasios T VafeidisCoastal Risks and Sea-level Rise Research Group, Department of Geography, Christian-Albrechts University Kiel, Ludewig-Meyn-Straße 8, 24118, Kiel, Germany.ORCID http://orcid.org/0000-0002-3906-5544

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101003598
6 · The paper itself

Abstract

Information on urban land use, beyond the urban-rural dichotomy, can improve the assessment of potential impacts of coastal hazards by refining estimates of damages and supporting adaptation planning. However, the lack of a consistent definition of "urban" in previous studies has led to exposure estimates that vary considerably. Here, we explore the sensitivity of exposed population and built-up area in four settlement types, defined by four different built-up area datasets. We find large differences in the exposed population of up to 65% (127 million people) in the "Urban" class. The exposure estimates are highly sensitive to the density thresholds used to distinguish the settlement types, with a difference in exposed urban population of up to 53.5 million people when the threshold varies by 10%. We attribute the high sensitivity of the exposure estimates to the varying definitions of built-up area of the underlying datasets. We argue that the definition of urban land is crucial for coastal impact assessments and make recommendations for the use of the analyzed datasets.

Identifiers

PMID38750094
PMCPMC11096343

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.