Decision support model for the selection of asphalt wearing courses in highly trafficked roads

Daniel Jato-Espino; Irune Indacoechea-Vega; Laszlo Gáspár; D. Castro-Fresno

doi:10.1007/s00500-018-3136-7

Decision support model for the selection of asphalt wearing courses in highly trafficked roads

Daniel Jato-Espino, Irune Indacoechea-Vega, Laszlo Gáspár, D. Castro-Fresno

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

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Abstract

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).

Original language	English
Pages (from-to)	7407-7421
Number of pages	15
Journal	Soft Computing
Volume	22
Early online date	20 Mar 2018
DOIs	https://doi.org/10.1007/s00500-018-3136-7
Publication status	Published - Nov 2018

Bibliographical note

The final publication is available at Springer via http://dx.doi.org/10.1007/s00500-018-3136-7

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

Keywords

AHP
Fuzzy logic
Monte Carlo methods
Multi-criteria decision-making
Road management
TOPSIS

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10.1007/s00500-018-3136-7

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Cite this

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title = "Decision support model for the selection of asphalt wearing courses in highly trafficked roads",

abstract = "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).",

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Decision support model for the selection of asphalt wearing courses in highly trafficked roads

Abstract

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Keywords

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