Evidence map›Paper›PMID 41083464›Full record

ArticleNature communications2025

Global geo-hazard risk assessment of long-span bridges enhanced with InSAR availability.

Dominika Malinowska, Pietro Milillo, Cormac Reale, Chris Blenkinsopp, Giorgia Giardina

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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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

5 authors.

Dominika MalinowskaDepartment of Geoscience & Engineering, Delft University of Technology, Delft, The Netherlands. dum22@bath.ac.uk.ORCID http://orcid.org/0000-0003-3607-8267
Pietro MililloDepartment of Civil and Environmental Engineering, Cullen College of Engineering, University of Houston, Houston, TX, USA.ORCID http://orcid.org/0000-0002-1171-3976
Cormac RealeDepartment of Architecture and Civil Engineering, University of Bath, Bath, UK.ORCID http://orcid.org/0000-0001-9610-4389
Chris BlenkinsoppDepartment of Architecture and Civil Engineering, University of Bath, Bath, UK.ORCID http://orcid.org/0000-0001-5784-2805
Giorgia GiardinaDepartment of Geoscience & Engineering, Delft University of Technology, Delft, The Netherlands.ORCID http://orcid.org/0000-0002-5996-5830

Funding

National Aeronautics and Space Administration (NASA) NNH21ZDA001N-DSINational Aeronautics and Space Administration (NASA) NNH22ZDA001N-CSDSA
6 · The paper itself

Abstract

While a geo-hazard risk assessment of bridges is crucial for achieving the United Nations' Sustainable Development Goals, state-of-the-art methods for evaluation of risk neglect the temporal dimension of structural vulnerability, overlooking how monitoring systems like Structural Health Monitoring sensors and Multi-Temporal Interferometric Synthetic Aperture Radar can continuously track bridge conditions. Moreover, despite Structural Health Monitoring systems being sparsely installed, no research has quantified the global potential of this spaceborne radar-based technique as a complementary monitoring solution for bridges. This study introduces a method that integrates monitoring availability into structural vulnerability assessments and evaluates the global risk of long-span bridges affected by subsidence and landslides. Findings revealed that while fewer than 20% of bridges have Structural Health Monitoring systems, spaceborne monitoring could provide monitoring for over 60% of structures, leveraging Sentinel-1's global coverage. Incorporating this satellite remote sensing approach into routine assessments could decrease the number of bridges classified as high-risk by one-third. Moreover, half of the remaining high-risk structures could benefit from spaceborne monitoring, highlighting the technique's potential to enhance structural safety and resilience, especially in economically disadvantaged regions.

Identifiers

PMID41083464
PMCPMC12518672

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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.