Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/103242
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dc.contributorDepartment of Building and Real Estateen_US
dc.creatorAbu Dabous, Sen_US
dc.creatorZeiada, Wen_US
dc.creatorZayed, Ten_US
dc.creatorAl-Ruzouq, Ren_US
dc.date.accessioned2023-12-11T00:32:35Z-
dc.date.available2023-12-11T00:32:35Z-
dc.identifier.issn0959-6526en_US
dc.identifier.urihttp://hdl.handle.net/10397/103242-
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.rights© 2019 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication The following publication Abu Dabous, S., Zeiada, W., Zayed, T., & Al-Ruzouq, R. (2020). Sustainability-informed multi-criteria decision support framework for ranking and prioritization of pavement sections. Journal of Cleaner Production, 244, 118755 is available at https://doi.org/10.1016/j.jclepro.2019.118755.en_US
dc.subjectManagementen_US
dc.subjectMulti-criteriaen_US
dc.subjectPavementen_US
dc.subjectPrioritizingen_US
dc.subjectRankingen_US
dc.subjectSustainabilityen_US
dc.titleSustainability-informed multi-criteria decision support framework for ranking and prioritization of pavement sectionsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume244en_US
dc.identifier.doi10.1016/j.jclepro.2019.118755en_US
dcterms.abstractRanking and prioritizing pavement infrastructure for maintenance and rehabilitation have become major undertakings for several departments of transportation around the globe. This is a complex decision-making problem because multiple and conflicting criteria can contribute to the assessment. Multi-criteria decision analysis (MCDA) techniques evaluate the trade-off between several quantitative and qualitative criteria and facilitate complex decision-making. This research introduces a framework based on MCDA to support pavement management decision making, while quantifying emerging sustainability-related factors such as safety, noise, and pollution in the decision-making process. The framework features include 1) identifying pavement management main decision elements: objectives, criteria, and attributes by detailing the problem with a five-level hierarchy structure; 2) employing combined analytic hierarchy process and multi-attribute utility theory to develop representative set of utility functions; and 3) ranking and prioritizing large networks of pavement sections while incorporating sustainability-related criteria. Data used to assess the decision criteria and develop the utility functions is extracted by means of a questionnaire survey completed by professionals working in the field of pavement management. The proposed method is applied to a case study consisting of ten pavement sections extracted from the long-term pavement performance database, wherein the sections are ranked based on their attributes. Sensitivity analysis is performed to evaluate the impact of the different criteria on the ranking process. The proposed method has shown potential in ranking pavement networks based on the identified criteria. Future work can test the performance of the proposed methodology with a full-scale pavement network and apply it to other civil infrastructure assets to evaluate its performance with different types of projects.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of cleaner production, 20 Jan. 2020, v. 244, 118755en_US
dcterms.isPartOfJournal of cleaner productionen_US
dcterms.issued2020-01-20-
dc.identifier.scopus2-s2.0-85073100391-
dc.identifier.artn118755en_US
dc.description.validate202312 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberBRE-0382-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS24313049-
dc.description.oaCategoryGreen (AAM)en_US
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