Resumen
In many Latin American countries, including Costa Rica, the poor condition of national road bridges significantly hinders socioeconomic progress. Addressing this issue, this article introduces a computational method designed to evaluate and monitor bridge health over time. It outlines a business intelligence model that facilitates data storage from bridge inspections and supports structural health index calculations. A Power BI prototype displays crucial visualizations that improve decision-making on infrastructure investments. This approach leverages business intelligence and hierarchical visualization techniques, offering a solution to quantitatively assess bridge health and prioritize investments in national infrastructure efficiently.
| Idioma original | Inglés |
|---|---|
| Publicación | Proceedings of the IEEE Central America and Panama Convention, CONCAPAN |
| N.º | 2025 |
| DOI | |
| Estado | Publicada - 2025 |
| Evento | 43rd IEEE Central America and Panama Convention, CONCAPAN 2025 - San Salvador, El Salvador Duración: 26 nov 2025 → 28 nov 2025 |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
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ODS 7: Energía asequible y no contaminante
Huella
Profundice en los temas de investigación de 'Design of a Computational Model to Support the Calculation of a Structural Health Index for Bridges'. En conjunto forman una huella única.Citar esto
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