The suitable choice of the materials forming the wearing course of highly trafficked roads is a delicate task because of their direct interaction with vehicles. Furthermore, modern roads must be planned according to sustainable development goals, which is complex because some of these might be in conflict. Under this premise, this paper develops a multi-criteria decision support model based on the analytic hierarchy process and the technique for order of preference by similarity to ideal solution to facilitate the selection of wearing courses in European countries. Variables were modelled using either fuzzy logic or Monte Carlo methods, depending on their nature. The views of a panel of experts on the problem were collected and processed using the generalized reduced gradient algorithm and a distance-based aggregation approach. The results showed a clear preponderance by stone mastic asphalt over the remaining alternatives in different scenarios evaluated through sensitivity analysis. The research leading to these results was framed in the European FP7 Project “DURABROADS” (No. 605404).
Bibliographical noteThe final publication is available at Springer via http://dx.doi.org/10.1007/s00500-018-3136-7
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- Fuzzy logic
- Monte Carlo methods
- Multi-criteria decision-making
- Road management
Jato-Espino, D., Indacoechea-Vega, I., Gáspár, L., & Castro-Fresno, D. (2018). Decision support model for the selection of asphalt wearing courses in highly trafficked roads. Soft Computing, 22, 7407-7421. https://doi.org/10.1007/s00500-018-3136-7