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Open AccessArticle

Categorization of the Condition of Railway Embankments Using a Multi-Attribute Utility Theory

1
Faculty of Civil Engineering, University of Zagreb, 10000 Zagreb, Croatia
2
Faculty of Engineering Technology, University of Twente, 7500 AE Enschede, The Netherlands
3
Faculty of Civil Engineering and Geosciences, TU Delft, 2628 CN Delft, The Netherlands
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(23), 5089; https://doi.org/10.3390/app9235089
Received: 9 October 2019 / Revised: 21 November 2019 / Accepted: 22 November 2019 / Published: 25 November 2019
In the current economic climate, it is crucial to optimize the use of all resources regarding railway infrastructure maintenance. In this paper, a multi-attribute decision support framework is applied to categorize railway embankments in order to prioritize maintenance activities. The paper describes a methodology to first determine the current condition of embankments using a combination of ground penetrating radar (GPR) surveys, visual inspection, and historical data about maintenance activities. These attributes are then used for the development of a multi-attribute utility theory model, which can be used as a support for decision making process for maintenance planning. The methodology is demonstrated for the categorization of 181 km of railway embankments in Croatia. View Full-Text
Keywords: railway embankment; condition assessment; ground penetrating radar; multi-attribute utility theory railway embankment; condition assessment; ground penetrating radar; multi-attribute utility theory
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Kovačević, M.S.; Bačić, M.; Stipanović, I.; Gavin, K. Categorization of the Condition of Railway Embankments Using a Multi-Attribute Utility Theory. Appl. Sci. 2019, 9, 5089.

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