ANALYZING THE CRITERIA AFFECTING TRANSITION TO AIRPLANE BY COMPARING DIFFERENT METHODS
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 ai...
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| Format: | Article |
| Language: | English |
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Mehmet Akif Ersoy University
2022-07-01
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| Series: | Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi |
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| Online Access: | https://dergipark.org.tr/en/download/article-file/2126126 |
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| _version_ | 1832584370960990208 |
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| author | Dilaver Tengilimoğlu İzay Reyhanoğlu |
| author_facet | Dilaver Tengilimoğlu İzay Reyhanoğlu |
| author_sort | Dilaver Tengilimoğlu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-277f48922ca74f4abe7d50be9b62ab68 |
| institution | Kabale University |
| issn | 2149-1658 |
| language | English |
| publishDate | 2022-07-01 |
| publisher | Mehmet Akif Ersoy University |
| record_format | Article |
| series | Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi |
| spelling | doaj-art-277f48922ca74f4abe7d50be9b62ab682025-01-27T14:02:41ZengMehmet Akif Ersoy UniversityMehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi2149-16582022-07-01921349137310.30798/makuiibf.1035167273ANALYZING THE CRITERIA AFFECTING TRANSITION TO AIRPLANE BY COMPARING DIFFERENT METHODSDilaver Tengilimoğlu0https://orcid.org/0000-0001-9638-1685İzay Reyhanoğlu1https://orcid.org/0000-0002-4645-5030ATILIM ÜNİVERSİTESİAtılım ÜniversitesiThis 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.https://dergipark.org.tr/en/download/article-file/2126126hava seyahat talebiseyahat davranışılojistik regresyon analiziyapay sinir ağları analizikümeleme analiziair travel demandtravel bahaviourlogistic regression analysisneural network modelcluster analysis |
| spellingShingle | Dilaver Tengilimoğlu İzay Reyhanoğlu ANALYZING THE CRITERIA AFFECTING TRANSITION TO AIRPLANE BY COMPARING DIFFERENT METHODS Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi hava seyahat talebi seyahat davranışı lojistik regresyon analizi yapay sinir ağları analizi kümeleme analizi air travel demand travel bahaviour logistic regression analysis neural network model cluster analysis |
| title | ANALYZING THE CRITERIA AFFECTING TRANSITION TO AIRPLANE BY COMPARING DIFFERENT METHODS |
| title_full | ANALYZING THE CRITERIA AFFECTING TRANSITION TO AIRPLANE BY COMPARING DIFFERENT METHODS |
| title_fullStr | ANALYZING THE CRITERIA AFFECTING TRANSITION TO AIRPLANE BY COMPARING DIFFERENT METHODS |
| title_full_unstemmed | ANALYZING THE CRITERIA AFFECTING TRANSITION TO AIRPLANE BY COMPARING DIFFERENT METHODS |
| title_short | ANALYZING THE CRITERIA AFFECTING TRANSITION TO AIRPLANE BY COMPARING DIFFERENT METHODS |
| title_sort | analyzing the criteria affecting transition to airplane by comparing different methods |
| topic | hava seyahat talebi seyahat davranışı lojistik regresyon analizi yapay sinir ağları analizi kümeleme analizi air travel demand travel bahaviour logistic regression analysis neural network model cluster analysis |
| url | https://dergipark.org.tr/en/download/article-file/2126126 |
| work_keys_str_mv | AT dilavertengilimoglu analyzingthecriteriaaffectingtransitiontoairplanebycomparingdifferentmethods AT izayreyhanoglu analyzingthecriteriaaffectingtransitiontoairplanebycomparingdifferentmethods |