#7577. Identification of waterways maintenance significant units using secondary data and Multi-Attribute Utility Theory

October 2026publication date
Proposal available till 20-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Ocean Engineering;
Building and Construction;
Safety, Risk, Reliability and Quality;
Mechanical Engineering;
Civil and Structural Engineering;
Geotechnical Engineering and Engineering Geology;
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Abstract:
Due to the progressive aging of existing infrastructures and insufficient investment in their maintenance, the backlog of maintenance work is growing steadily. Consequently, the identification of maintenance significant units, which are system elements linked with higher risk, is of paramount importance. However, risk assessment of infrastructure systems is a complex task, since risk has multiple dimensions and its assessement requires information from several system levels.
Keywords:
Maintenance backlog; maintenance prioritization; multi-attribute utility theory; multi-criteria decision analysis; risk assessment; secondary data; waterways infrastructures

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