ArticleScientific data2025
Multidimensional Datasets Supporting Vulnerability Assessments of Riverine Bridges in Peru.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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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.
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Authors and funding
9 authors.
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Abstract
Riverine bridges are critical yet vulnerable infrastructure, constantly exposed to hydrological hazards substantially increased by climate change. Consequently, they require designs that ensure resilience and an adequate useful life cycle. This data descriptor presents data used in two scientific studies focused on assessing the vulnerability of bridges spanning the Chili River in the city of Arequipa, Peru, mainly through hydrological data, terrain and soil data and hydraulic modeling. Therefore, the data employed in both studies enable vulnerability assessments of bridges that encompass both quantitative and qualitative aspects, addressing the data gap in research related to the assessment of riverine bridges. Both studies, by incorporating a diverse range of data types, collectively provide a comprehensive framework for the analysis of riverine bridge vulnerability, rather than functioning as independent investigations. Such data not only serves to assess bridge vulnerability but can also be integrated into future research on infrastructure risk assessments. Proper management of the data presented herein can inform decision-making processes for authorities responsible for implementing resilient and sustainable infrastructure.
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Registered trials
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