Analyzing the Criteria Affecting Transition To Airplane by Comparing Different Methods

dc.contributor.author Reyhanoglu, Izay
dc.contributor.author Tengilimoglu, Dilaver
dc.contributor.other Business
dc.contributor.other Aviation Management
dc.date.accessioned 2024-07-05T15:17:43Z
dc.date.available 2024-07-05T15:17:43Z
dc.date.issued 2022
dc.department Atılım University en_US
dc.department-temp [Reyhanoglu, Izay] Atilim Univ, Sivil Havacilik Yuksekokulu, Havacilik Yonetimi Bolumu, Ankara, Turkey; [Tengilimoglu, Dilaver] Atilim Univ, Isletme Fak, Isletme Bolumu, Ankara, Turkey en_US
dc.description.abstract This study, using the multi-vehicle approach, discusses the criteria affecting the transition from alternative transportation modes (car, train, bus) to air transportation between city pairs that neither have a hub status nor non-stop flights between them. If these criteria change, the demand for air transportation will increase. For this purpose, a survey was conducted in the provinces of Kayseri and Bursa, which are among the important trade, industry, and tourism centers in Turkey, in the course of three months between January and March, 2018. Logistic regression, the artificial neural network model, and clustering analyses were applied to the data compiled from questionnaires responded to by 501 individuals in Kayseri and 453 individuals in Bursa. According to the empirical findings, it was concluded that the most significant criteria in the transition to air transportation according to all three methods are the cost of travel/ticket price and non-stop flight. Additionally, it was observed that the Artificial Neural Networks (ANN) model made more accurate predictions compared to others. This study is important since it compares three different methods for the purpose of criteria determination concerning the choice of transportation modes. en_US
dc.identifier.citationcount 0
dc.identifier.doi 10.30798/makuiibf.1035167
dc.identifier.endpage 1373 en_US
dc.identifier.issn 2149-1658
dc.identifier.issue 2 en_US
dc.identifier.startpage 1349 en_US
dc.identifier.trdizinid 1162160
dc.identifier.uri https://doi.org/10.30798/makuiibf.1035167
dc.identifier.uri https://hdl.handle.net/20.500.14411/1778
dc.identifier.volume 9 en_US
dc.identifier.wos WOS:000870039700029
dc.institutionauthor Reyhanoğlu, İzay
dc.institutionauthor Tengilimoğlu, Dilaver
dc.language.iso en en_US
dc.publisher Mehmet Akif Ersoy Univ en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Air Travel Demand en_US
dc.subject Travel Behaviour en_US
dc.subject Air Travel Demand Travel Behaviour en_US
dc.subject Logistic Regression en_US
dc.subject Artificial Neural Networks en_US
dc.subject Cluster Analysis en_US
dc.title Analyzing the Criteria Affecting Transition To Airplane by Comparing Different Methods en_US
dc.type Article en_US
dc.wos.citedbyCount 0
dspace.entity.type Publication
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