A Multi-Parameter Approach to Support Sustainable Hydraulic Risk Analysis for the Protection of Transportation Infrastructure: The Case Study of the Gargano Railways (Southern Italy)

Ciro Apollonio (), Gabriele Iemmolo, Maria Di Modugno, Marianna Apollonio, Andrea Petroselli, Fabio Recanatesi and Daniele Giannetta
Additional contact information
Ciro Apollonio: Department of Agriculture and Forest Sciences (DAFNE), Tuscia University, 01100 Viterbo, Italy
Gabriele Iemmolo: Independent Researcher, Via Nannarone 11, 71121 Foggia, Italy
Maria Di Modugno: Independent Researcher, Via Murat 34, 70123 Bari, Italy
Marianna Apollonio: Independent Researcher, Via Sant’Alfonso de Liguori 17, 71017 Torremaggiore, Italy
Andrea Petroselli: Department of Agriculture and Forest Sciences (DAFNE), Tuscia University, 01100 Viterbo, Italy
Fabio Recanatesi: Department of Agriculture and Forest Sciences (DAFNE), Tuscia University, 01100 Viterbo, Italy
Daniele Giannetta: Ferrovie del Gargano s.r.l., Via Zuppetta 7/D, 70121 Bari, Italy

Sustainability, 2025, vol. 17, issue 9, 1-24

Abstract: Transport networks are crucial for economic growth, yet their sustainability is increasingly threatened by natural hazards. Recent floods in Italy have highlighted the vulnerability of rail and road infrastructure, causing severe damage and economic losses. The Gargano Promontory in northern Apulia has experienced frequent hydrogeological disruptions over the past decade, significantly affecting bridges and the railway network managed by Ferrovie del Gargano s.r.l. (FdG). However, structural interventions are complex, time-consuming, costly, and involve certain risks. To enhance sustainability and comply with railway safety regulations, FdG has adopted non-structural measures to improve hydrogeological risk classification and management. Despite the prevalence of flood events, the existing literature often overlooks crucial technical aspects, which this study addresses. The HYD.RAIL (HYDraulic Risk Assessment for Infrastructure and Lane) research project aims to improve transport infrastructure resilience by refining hydraulic risk assessments and introducing new classification parameters. HYD.RAIL employs a multicriteria approach, integrating parameters defined in collaboration with railway professionals. This paper presents the initial framework, offering a methodology to identify, classify, and manage hydrogeological risks in transportation infrastructure. Compared to standard methods, which lack detailed risk classification, HYD.RAIL enables more precise flood risk mapping. For example, high-risk points were reduced from 37 to 6 locations on Line 1 and from 134 to 50 on Line 2 using HYD.RAIL. This approach enhances flood risk management efficiency, providing railway operators with a more accurate understanding of infrastructure vulnerabilities.

Keywords: flood risk management; sustainable infrastructure; resilient trainway networks; hydrological-hydraulic monitoring; parametric matrix; sustainable decision-making; decision support systems (DSS); sustainable development; climate-resilient urban planning; sustainable development strategies (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/17/9/4151/pdf (application/pdf)
https://www.mdpi.com/2071-1050/17/9/4151/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:17:y:2025:i:9:p:4151-:d:1648985

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().