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Multidimensional Datasets Supporting Vulnerability Assessments of Riverine Bridges in Peru

  • 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
  • , Julian Booker

Research output: Contribution to journalOriginal Articlepeer-review

1 Scopus 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.

Original languageAmerican English
Article number53
JournalScientific data
Volume13
Issue number1
DOIs
StateIndexed - 2026

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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