Multi-Criteria Assessment of Flood Risk on Railroads Using a Machine Learning Approach: A Case Study of Railroads in Minas Gerais

Multi-Criteria Assessment of Flood Risk on Railroads Using a Machine Learning Approach: A Case Study of Railroads in Minas Gerais

In a climate change scenario where extreme precipitation events occur more frequently and intensely, risk assessment plays a critical role in ensuring the safety and operational efficiency of facilities. This case study uses a combination of the multi-criteria analysis approach and hydrological stud...

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Bibliographic Details
Main Authors: Fernanda Oliveira de Sousa, Victor Andre Ariza Flores, Christhian Santana Cunha, Sandra Oda, Hostilio Xavier Ratton Neto
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Infrastructures
Subjects:
flood risk assessment
machine learning
hierarchical multi-criteria analysis
infrastructure resilience
hydrological modeling
Online Access:https://www.mdpi.com/2412-3811/10/1/12
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