The evaluation of operational efficiencies of Turkish airports: An integrated spherical fuzzy AHP/DEA approach

Basit Öğe Kaydı
dc.authorid0000-0001-6036-0559
dc.authorid0000-0003-1411-0369
dc.authorid0000-0002-0068-0048
dc.authorscopusid57214083720
dc.authorscopusid55330793300
dc.authorscopusid45160937100
dc.authorscopusid55734704100
dc.authorscopusid57214083720
dc.authorscopusid55330793300
dc.authorscopusid45160937100
dc.authorscopusid55734704100
dc.contributor.authorHacıoğlu, Ümit
dc.contributor.authorYılmaz, Mustafa Kemal
dc.contributor.authorKuşakcı, Ali Osman
dc.contributor.authorHacıoğlu, Ümit
dc.contributor.authorYılmaz, Mustafa Kemal
dc.contributor.authorKuşakcı, Ali Osman
dc.contributor.authorYılmaz, Mustafa Kemal
dc.contributor.authorKuşakcı, Ali Osman
dc.contributor.authorAksoy, Mine
dc.contributor.authorHacıoğlu, Ümit
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2022-03-04T12:33:35Z
dc.date.available2022-03-04T12:33:35Z
dc.date.issued2022
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü
dc.description.abstractThe demand for air transport services has significantly increased around the globe, which has brought new investments in airports, which, in turn, requires in-depth efficiency analysis of these capital-intensive endeavors. This study examines the operational efficiencies of 46 Turkish civil airports from 2015 to 2018. We employ a novel hybrid methodology that combines Spherical Fuzzy Sets based Analytic Hierarchy Process (SFS-AHP) and Data Envelopment Analysis (DEA), which provides a solid basis for efficiency analysis. To this end, it can handle the hesitancy and uncertainty that the subjective evaluation process of input and output factors possess. Then, we use Self Organizing Maps (SOM), a machine learning method for clustering, to examine the effect of outlier airports on the efficiency scores. Finally, a posthoc analysis is conducted with Tobit regression model to assess the explanatory power of external factors on the efficiency scores, i.e., tourism potential, number of international flights, distance to the city center, population, public/private ownership, and age of airport. The findings show that 67.2% of the Turkish airports operate below the optimal efficiency level, and 93.5% of them should make considerable efforts to refine their operations by implementing managerial and structural changes to reduce input factors. The results also suggest that the airports located in high-density touristic areas achieve higher efficiency levels. Those relatively closer to the city center lead to more airport traffic, generating more revenues. Thus, both factors have a significant impact on efficiency scores. The study provides a novel efficiency analysis framework for airport operators and policy makers that helps them make informed decisions.
dc.identifier.citationYılmaz, M. K., Kuşakcı, A. O., Aksoy, M. ve Hacıoğlu, Ü. (2022). The evaluation of operational efficiencies of Turkish airports: An integrated spherical fuzzy AHP/DEA approach. Applied Soft Computing, 119(108620). https://doi.org/10.1016/j.asoc.2022.108620
dc.identifier.doi10.1016/j.asoc.2022.108620
dc.identifier.issn1568-4946
dc.identifier.scopus2-s2.0-85125273559
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.asoc.2022.108620
dc.identifier.urihttps://hdl.handle.net/20.500.12154/1715
dc.identifier.volume119
dc.identifier.wosWOS:000791330600012
dc.identifier.wosqualityQ1
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorYılmaz, Mustafa Kemal
dc.institutionauthorKuşakcı, Ali Osman
dc.institutionauthorHacıoğlu, Mine
dc.institutionauthorid0000-0001-6036-0559
dc.institutionauthorid0000-0003-1411-0369
dc.institutionauthorid0000-0002-0068-0048
dc.language.isoen
dc.publisherElsevier
dc.relation.ihupublicationcategory114
dc.relation.ispartofApplied Soft Computing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAirport Efficiency
dc.subjectSFS-AHP
dc.subjectDEA
dc.subjectTobit Regression
dc.subjectTurkish Airports
dc.titleThe evaluation of operational efficiencies of Turkish airports: An integrated spherical fuzzy AHP/DEA approach
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublicationd5642aa4-347e-4bbe-bcd5-6b4b19a4c49f
relation.isAuthorOfPublication9b408141-b1c4-485b-8f06-14ff4eccc6a7
relation.isAuthorOfPublication21653521-557b-4059-b2be-1fb429b3258a
relation.isAuthorOfPublication.latestForDiscoveryd5642aa4-347e-4bbe-bcd5-6b4b19a4c49f
relation.isOrgUnitOfPublicationc9253b76-6094-4836-ac99-2fcd5392d68f
relation.isOrgUnitOfPublication.latestForDiscoveryc9253b76-6094-4836-ac99-2fcd5392d68f

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ N/A ]
İsim:
yilmaz_mk.pdf
Boyut:
1.92 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
[ N/A ]
İsim:
license.txt
Boyut:
1.52 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

İşletme Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu