Futuristic airport: A sustainable airport design by integrating hesitant fuzzy SWARA and hesitant fuzzy sustainable quality function deployment

MakaleYalnız künyeScopus SJRQ1
  • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar

Özet

The interest of researchers and airport authorities towards sustainable airports is increasing day by day. Futuristic airport designs will be innovative in achieving sustainable development practices such as clean and affordable energy, protection of natural resources, waste reduction, natural features and green space around an airport, sustainable transportation system, natural storm water management of airports, etc. In classical Quality Function Deployment, crisp numbers are used to determine the priorities of the passenger requirements, design requirements, and their relationship matrix to evaluate airport quality. However, vagueness and impreciseness are inevitable uncertainties in those kinds of human judgments, which are generally realized by linguistic terms, and traditional Quality Function Deployment is not associated with “sustainability.” The main contribution of this paper is to present a new approach that integrates Hesitant Fuzzy Stepwise Weight Assessment Ratio Analysis and Hesitant Fuzzy Sustainable Quality Function Deployment method to enhance the sustainable airport quality. Hesitant fuzzy set theory reflects the hesitancy in human nature while making a decision to the fuzzy numbers, compared to other fuzzy set theories, such as traditional fuzzy sets, type-2 fuzzy sets, etc. In this study, the importance degrees of sustainable passenger requirements were evaluated by considering Hesitant Fuzzy Stepwise Weight Assessment Ratio Analysis in the first stage of Hesitant Fuzzy Sustainable Quality Function Deployment method. Then sustainable design requirement was prioritized to develop the sustainable quality management of the airport. Finally, a case study concerning the sustainable development of the airport was used to elucidate the feasibility and rationality of the proposed framework. The results obtained from the case study showed that Hesitant Fuzzy Sustainable Quality Function Deployment could be a practical and structural methodology in the early planning stage of a sustainable airport design.

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dc.contributor.authorKayapinar Kaya, Sema
dc.contributor.authorErginel, Nihal
dc.date.accessioned2026-10-28T14:56:48.012434911Z
dc.date.available2026-10-28T14:56:48.012434911Z
dc.date.issued2020
dc.description.abstractThe interest of researchers and airport authorities towards sustainable airports is increasing day by day. Futuristic airport designs will be innovative in achieving sustainable development practices such as clean and affordable energy, protection of natural resources, waste reduction, natural features and green space around an airport, sustainable transportation system, natural storm water management of airports, etc. In classical Quality Function Deployment, crisp numbers are used to determine the priorities of the passenger requirements, design requirements, and their relationship matrix to evaluate airport quality. However, vagueness and impreciseness are inevitable uncertainties in those kinds of human judgments, which are generally realized by linguistic terms, and traditional Quality Function Deployment is not associated with “sustainability.” The main contribution of this paper is to present a new approach that integrates Hesitant Fuzzy Stepwise Weight Assessment Ratio Analysis and Hesitant Fuzzy Sustainable Quality Function Deployment method to enhance the sustainable airport quality. Hesitant fuzzy set theory reflects the hesitancy in human nature while making a decision to the fuzzy numbers, compared to other fuzzy set theories, such as traditional fuzzy sets, type-2 fuzzy sets, etc. In this study, the importance degrees of sustainable passenger requirements were evaluated by considering Hesitant Fuzzy Stepwise Weight Assessment Ratio Analysis in the first stage of Hesitant Fuzzy Sustainable Quality Function Deployment method. Then sustainable design requirement was prioritized to develop the sustainable quality management of the airport. Finally, a case study concerning the sustainable development of the airport was used to elucidate the feasibility and rationality of the proposed framework. The results obtained from the case study showed that Hesitant Fuzzy Sustainable Quality Function Deployment could be a practical and structural methodology in the early planning stage of a sustainable airport design.
dc.identifier.articlenumber123880
dc.identifier.doi10.1016/j.jclepro.2020.123880
dc.identifier.eissn1879-1786
dc.identifier.issn0959-6526
dc.identifier.scopus2-s2.0-85091061494
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/3563
dc.identifier.volume275
dc.identifier.wosWOS:000579495100128
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.ispartofJournal of Cleaner Production
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectHesitant fuzzy set
dc.subjectQuality function deployment
dc.subjectStepwise weight assessment ratio analysis
dc.subjectSustainability
dc.subject.classificationGreen & Sustainable Science & Technology
dc.subject.classificationEngineering, Environmental
dc.subject.classificationEnvironmental Sciences
dc.subject.classificationScience & Technology - Other Topics
dc.subject.classificationEngineering
dc.subject.classificationEnvironmental Sciences & Ecology
dc.subject.otherAirports
dc.subject.otherDecision theory
dc.subject.otherFuzzy sets
dc.subject.otherLinguistics
dc.subject.otherPlanning
dc.subject.otherQuality control
dc.subject.otherQuality function deployment
dc.subject.otherQuality management
dc.subject.otherSustainable development
dc.subject.otherUncertainty analysis
dc.subject.otherWaste management
dc.subject.otherWater management
dc.subject.otherAirport authorities
dc.subject.otherImportance degrees
dc.subject.otherLinguistic terms
dc.subject.otherNatural features
dc.subject.otherRelationship matrix
dc.subject.otherStorm-water managements
dc.subject.otherSustainable transportation systems
dc.subject.otherType-2 fuzzy set
dc.subject.otherFuzzy set theory
dc.titleFuturistic airport: A sustainable airport design by integrating hesitant fuzzy SWARA and hesitant fuzzy sustainable quality function deployment
dc.typeArticle
rdl.citation.openalex74
rdl.citation.scopus68
rdl.citation.wos54
rdl.oa.statusclosed
rdl.scopus.quartileQ1
rdl.sdgSDG11
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)