Applications of Artificial Intelligence in the Air Transport Industry: A Bibliometric and Systematic Literature Review
The use of artificial intelligence, along with its various components, is rapidly increasing in various fields of study today, going beyond the traditional domains of computer science and mathematics. To gain insights into how artificial intelligence is being applied in the air transport indust...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Instituto de Aeronáutica e Espaço (IAE)
2023-09-01
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| Series: | Journal of Aerospace Technology and Management |
| Subjects: | |
| Online Access: | https://jatm.com.br/jatm/article/view/1312 |
| _version_ | 1797679691111333888 |
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| author | Abderrahmane Moubarek Sadou Eric Tchouamou Njoya |
| author_facet | Abderrahmane Moubarek Sadou Eric Tchouamou Njoya |
| author_sort | Abderrahmane Moubarek Sadou |
| collection | DOAJ |
| description |
The use of artificial intelligence, along with its various components, is rapidly increasing in various fields of study today, going beyond the traditional domains of computer science and mathematics. To gain insights into how artificial intelligence is being applied in the air transport industry, uncover underlying correlations and trends in the literature, and identify potential research gaps, we conducted a systematic literature review supplemented with bibliometric elements such as keyword co-occurrence and author influence. The key findings of our research shed light on the most prolific institutions and authors globally involved in generating knowledge about AI applications in air transport. Additionally, we identified five research clusters that dominate the overall research direction: prediction and optimisation (constituting 65% of the articles), inter- industry collaborations (17% of the articles), human experience (9% of the articles), safety, risks, and ethical considerations (6% of the articles), and ecology and sustainable development (3% of the articles). Overall, further research is needed to explore the ethical implications, legal considerations, integration processes, and impact on employment and the environment in the air transport industry.
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| first_indexed | 2024-03-11T23:18:33Z |
| format | Article |
| id | doaj.art-6515562b96704497b3925c3737c67d00 |
| institution | Directory Open Access Journal |
| issn | 2175-9146 |
| language | English |
| last_indexed | 2024-03-11T23:18:33Z |
| publishDate | 2023-09-01 |
| publisher | Instituto de Aeronáutica e Espaço (IAE) |
| record_format | Article |
| series | Journal of Aerospace Technology and Management |
| spelling | doaj.art-6515562b96704497b3925c3737c67d002023-09-20T17:02:46ZengInstituto de Aeronáutica e Espaço (IAE)Journal of Aerospace Technology and Management2175-91462023-09-0115Applications of Artificial Intelligence in the Air Transport Industry: A Bibliometric and Systematic Literature ReviewAbderrahmane Moubarek Sadou0Eric Tchouamou Njoya1University of Huddersfield – Huddersfield Business School, Department of Logistics, Hospitality, Marketing and Analytics – Huddersfield – United Kingdom.University of Huddersfield – Huddersfield Business School, Department of Logistics, Hospitality, Marketing and Analytics – Huddersfield – United Kingdom. The use of artificial intelligence, along with its various components, is rapidly increasing in various fields of study today, going beyond the traditional domains of computer science and mathematics. To gain insights into how artificial intelligence is being applied in the air transport industry, uncover underlying correlations and trends in the literature, and identify potential research gaps, we conducted a systematic literature review supplemented with bibliometric elements such as keyword co-occurrence and author influence. The key findings of our research shed light on the most prolific institutions and authors globally involved in generating knowledge about AI applications in air transport. Additionally, we identified five research clusters that dominate the overall research direction: prediction and optimisation (constituting 65% of the articles), inter- industry collaborations (17% of the articles), human experience (9% of the articles), safety, risks, and ethical considerations (6% of the articles), and ecology and sustainable development (3% of the articles). Overall, further research is needed to explore the ethical implications, legal considerations, integration processes, and impact on employment and the environment in the air transport industry. https://jatm.com.br/jatm/article/view/1312Artificial IntelligenceAir TransportBig Data Technologies AirportAir traffic managementAirlines |
| spellingShingle | Abderrahmane Moubarek Sadou Eric Tchouamou Njoya Applications of Artificial Intelligence in the Air Transport Industry: A Bibliometric and Systematic Literature Review Journal of Aerospace Technology and Management Artificial Intelligence Air Transport Big Data Technologies Airport Air traffic management Airlines |
| title | Applications of Artificial Intelligence in the Air Transport Industry: A Bibliometric and Systematic Literature Review |
| title_full | Applications of Artificial Intelligence in the Air Transport Industry: A Bibliometric and Systematic Literature Review |
| title_fullStr | Applications of Artificial Intelligence in the Air Transport Industry: A Bibliometric and Systematic Literature Review |
| title_full_unstemmed | Applications of Artificial Intelligence in the Air Transport Industry: A Bibliometric and Systematic Literature Review |
| title_short | Applications of Artificial Intelligence in the Air Transport Industry: A Bibliometric and Systematic Literature Review |
| title_sort | applications of artificial intelligence in the air transport industry a bibliometric and systematic literature review |
| topic | Artificial Intelligence Air Transport Big Data Technologies Airport Air traffic management Airlines |
| url | https://jatm.com.br/jatm/article/view/1312 |
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