A Scoping review of artificial intelligence applications in airports

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dc.authorid0000-0001-7227-3372
dc.authorid0000-0003-1411-0369
dc.contributor.authorAmiri, Misagh Haji
dc.contributor.authorKuşakcı, Ali Osman
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2024-10-14T10:46:58Z
dc.date.available2024-10-14T10:46:58Z
dc.date.issued2024
dc.departmentİHÜ, Lisansüstü Eğitim Enstitüsü, İşletme Ana Bilim Dalı
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü
dc.description.abstractThis paper aims to synthesize the literature on the application of artificial intelligence for airports. The selected methodology was based on the PRISMA Extension for Scoping Reviews (PRISMA-ScR), a recognized framework for systematic reviews. Authors searched the Scopus and Web of Science databases for articles that met the following criteria: (1) publication in peer-reviewed journals, (2) English language, and (3) relevance to airport operations, demonstrated by either (a) the use of airport datasets for showcasing AI applications or (b) the use of airports as case studies. Articles were assessed by two reviewers, and data were extracted on the articles’ keywords, publication year, and origin country. After screening and checking for eligibility, 121 unique articles were examined. Upon assessment, the included articles were categorized into seven main themes. Each category and its specific subtopics were individually discussed within this paper. Results indicate that the most extensively studied category belongs to airport administration and management. Security and air traffic control (ATC) were the second and third most studied categories, respectively. Notably, a significant portion of the articles focused on optimization techniques, scheduling strategies, and developing decision support systems (DSS) tailored to various airport departments. This paper not only highlights current research trends in the field of AI for airports but also identifies gaps in the existing literature. The paper proposes future research directions to enhance the effective implementation of AI technologies within airport environments.
dc.identifier.citationAmiri, M. Haji, Kuşakcı, A. O. (2024). A Scoping review of artificial intelligence applications in airports, CRPASE: Transactions of Industrial Engineering, 10 (2), 1–12.
dc.identifier.doi10.61186/crpase.10.2.2900
dc.identifier.endpage12
dc.identifier.issn2423-4591
dc.identifier.issue2
dc.identifier.startpage1
dc.identifier.urihttps://doi.org/10.61186/crpase.10.2.2900
dc.identifier.urihttps://hdl.handle.net/20.500.12154/3043
dc.identifier.volume10
dc.institutionauthorAmiri, Misagh Haji
dc.institutionauthorKuşakcı, Ali Osman
dc.institutionauthorid0000-0001-7227-3372
dc.institutionauthorid0000-0003-1411-0369
dc.language.isoen
dc.publisherSigma Xplore
dc.relation.ispartofCRPASE: Transactions of Industrial Engineering
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Öğrenci
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.publicationcategoryTezden Üretilmiş Yayın - Doktora Mezuniyet Şartı
dc.relation.publicationcategoryTezden Üretilmiş Yayın
dc.relation.publicationcategoryÖğrenci
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectArtificial Intelligence
dc.subjectAI Application
dc.subjectAirport
dc.subjectScoping Review
dc.subjectPRISMA
dc.titleA Scoping review of artificial intelligence applications in airports
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication21653521-557b-4059-b2be-1fb429b3258a
relation.isAuthorOfPublication.latestForDiscovery21653521-557b-4059-b2be-1fb429b3258a
relation.isOrgUnitOfPublicationc9253b76-6094-4836-ac99-2fcd5392d68f
relation.isOrgUnitOfPublication.latestForDiscoveryc9253b76-6094-4836-ac99-2fcd5392d68f

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