Fleet Type Planning for Private Air Transport After Covid-19
The global impact of the epidemic COVID-19 has done great damage to air transport. Demand for airline transportation has declined for reasons such as quarantine practices by countries, curfews, the economic recession, and the transfer of meetings to digital platforms. This situation has also led to...
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| Format: | Article |
| Language: | English |
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Gazi University
2023-06-01
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| Series: | Gazi Üniversitesi Fen Bilimleri Dergisi |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/pub/gujsc/issue/78178/1178375 |
| _version_ | 1797673438472568832 |
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| author | Raziye KILIÇ Özge ALBAYRAK ÜNAL Burak ERKAYMAN |
| author_facet | Raziye KILIÇ Özge ALBAYRAK ÜNAL Burak ERKAYMAN |
| author_sort | Raziye KILIÇ |
| collection | DOAJ |
| description | The global impact of the epidemic COVID-19 has done great damage to air transport. Demand for airline transportation has declined for reasons such as quarantine practices by countries, curfews, the economic recession, and the transfer of meetings to digital platforms. This situation has also led to a change in individuals' preferences for air transport. The most striking change in air transport is the tendency of individuals to private air transport privately to minimize the health risks that may arise from personal contacts. Individuals who avoid commercial air transport where public transportation is has transitioned private air transport. For these reasons, an forecasting study was conducted in this study so that a private airline company can provide accurate flight plans in the future. For the forecast study, the number of aircraft types for 2022 was determined by obtaining data on the number of aircraft by passenger capacity, the number of flights, and the number of passengers for 2019-2021 from the airline company. In the forecasting study, the models with the highest accuracy value were selected from the machine learning models. The results provided important information about the company's future fleet planning. |
| first_indexed | 2024-03-11T21:44:32Z |
| format | Article |
| id | doaj.art-5b191d07e51d49bfa141f7873d598d8b |
| institution | Directory Open Access Journal |
| issn | 2147-9526 |
| language | English |
| last_indexed | 2024-03-11T21:44:32Z |
| publishDate | 2023-06-01 |
| publisher | Gazi University |
| record_format | Article |
| series | Gazi Üniversitesi Fen Bilimleri Dergisi |
| spelling | doaj.art-5b191d07e51d49bfa141f7873d598d8b2023-09-26T10:34:45ZengGazi UniversityGazi Üniversitesi Fen Bilimleri Dergisi2147-95262023-06-0111247548510.29109/gujsc.1178375Fleet Type Planning for Private Air Transport After Covid-19Raziye KILIÇ0https://orcid.org/0000-0002-9238-7710Özge ALBAYRAK ÜNAL1https://orcid.org/0000-0001-7798-8799Burak ERKAYMAN 2https://orcid.org/0000-0002-9551-2679Atatürk ÜniversitesiAtatürk ÜniversitesiATATÜRK ÜNİVERSİTESİThe global impact of the epidemic COVID-19 has done great damage to air transport. Demand for airline transportation has declined for reasons such as quarantine practices by countries, curfews, the economic recession, and the transfer of meetings to digital platforms. This situation has also led to a change in individuals' preferences for air transport. The most striking change in air transport is the tendency of individuals to private air transport privately to minimize the health risks that may arise from personal contacts. Individuals who avoid commercial air transport where public transportation is has transitioned private air transport. For these reasons, an forecasting study was conducted in this study so that a private airline company can provide accurate flight plans in the future. For the forecast study, the number of aircraft types for 2022 was determined by obtaining data on the number of aircraft by passenger capacity, the number of flights, and the number of passengers for 2019-2021 from the airline company. In the forecasting study, the models with the highest accuracy value were selected from the machine learning models. The results provided important information about the company's future fleet planning.https://dergipark.org.tr/tr/pub/gujsc/issue/78178/1178375private airline transportfleet type planningmachine learningsupport vector machinegaussian process regression |
| spellingShingle | Raziye KILIÇ Özge ALBAYRAK ÜNAL Burak ERKAYMAN Fleet Type Planning for Private Air Transport After Covid-19 Gazi Üniversitesi Fen Bilimleri Dergisi private airline transport fleet type planning machine learning support vector machine gaussian process regression |
| title | Fleet Type Planning for Private Air Transport After Covid-19 |
| title_full | Fleet Type Planning for Private Air Transport After Covid-19 |
| title_fullStr | Fleet Type Planning for Private Air Transport After Covid-19 |
| title_full_unstemmed | Fleet Type Planning for Private Air Transport After Covid-19 |
| title_short | Fleet Type Planning for Private Air Transport After Covid-19 |
| title_sort | fleet type planning for private air transport after covid 19 |
| topic | private airline transport fleet type planning machine learning support vector machine gaussian process regression |
| url | https://dergipark.org.tr/tr/pub/gujsc/issue/78178/1178375 |
| work_keys_str_mv | AT raziyekilic fleettypeplanningforprivateairtransportaftercovid19 AT ozgealbayrakunal fleettypeplanningforprivateairtransportaftercovid19 AT burakerkayman fleettypeplanningforprivateairtransportaftercovid19 |