Abstract
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.
| Original language | English |
|---|---|
| Journal | Proceedings of the IEEE Central America and Panama Convention, CONCAPAN |
| Issue number | 2025 |
| DOIs | |
| State | Published - 2025 |
| Event | 43rd IEEE Central America and Panama Convention, CONCAPAN 2025 - San Salvador, El Salvador Duration: 26 Nov 2025 → 28 Nov 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Bridges
- Business Intelligence
- Index
- Monitoring
- Structural Health
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