Multidimensional Datasets Supporting Vulnerability Assessments of Riverine Bridges in Peru

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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Publication Details

Journal
Scientific Data
Published
2025-12-13
DOI
https://doi.org/10.1038/s41597-025-06374-x
Citations
1
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
1.11
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article

Multidimensional Datasets Supporting Vulnerability Assessments of Riverine Bridges in Peru

J.D. Booker, Alain Jorge Espinoza Vigil, Joel Ccanccapa Puma, Alan Huarca Pulcha et al.
1 citations
Scientific Data
Flood Risk Assessment and Management
1.11
article

Multidimensional Datasets Supporting Vulnerability Assessments of Riverine Bridges in Peru

J.D. Booker, Alain Jorge Espinoza Vigil, Joel Ccanccapa Puma, Alan Huarca Pulcha, Alejandra Ticona-Quispe, Diego Huarcaya-Perez, Alberth Gonzales-Turpo, Roly Cusihuaman-Casquina, Flor Lucana-Hancco
article en
1 citations

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.

Scientific DataVol. 13(1)
University of Bristol (GB), Catholic University of Santa María (PE), Universidad Continental (PE)
Openalex Percentile: Top 17%
Flood Risk Assessment and Management
1.11
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Multidimensional Datasets Supporting Vulnerability Assessments of Riverine Bridges in Peru — J.D. Booker, Alain Jorge Espinoza Vigil, et al. · Scientific Data (2025) | TGRS Research Map | TGRS