Investigation of Breaking Points in the Airline Industry with Airline Optimization Studies Through Text Mining before the COVID-19 Pandemic

In this study, current literature in the field of airline optimization has been examined by the text mining method to understand trends and commercial threats in the airline industry. Prominent types of work and popular topics have been revealed to understand the importance of global events. This research summarizes trends and some important points relating to airline optimization. The results are striking. It analyzes studies conducted on behalf of aviation before the global COVID-19 pandemic. The economic contribution made by the aviation sector as well as the costs it suffers as a result of crisis situations are clearly explained. Reasons for differences in studies conducted by different countries in the field of aviation are also explained. This study is intended to give an idea of how the aviation sector shapes academic studies, how studies on aviation optimization could contribute in the future, and how the countries have addressed important challenges to the aviation industry in the past.

• Record URL:
  https://doi.org/10.1177/0361198120987238
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
• Supplemental Notes:
  • The data used in this study is collected from Thomson Reuters—ISI Web of Science database (http://ww.webofknowledge.com) by scanning the studies conducted on airline optimization between the years 1975 and 2018. © National Academy of Sciences: Transportation Research Board 2021.
• Authors:
  • Atay, Metehan
  • Eroğlu, Yunus
  • Seçkiner, Serap Ulusam
• Publication Date: 2021

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Publisher: Sage Publications, Incorporated
  • ISSN: 0361-1981
  • EISSN: 2169-4052
  • Serial URL: http://journals.sagepub.com/home/trr

Subject/Index Terms

• TRT Terms: Airlines; Countries; Data mining; Economic analysis; Emergencies; Literature reviews; Optimization
• Subject Areas: Aviation; Data and Information Technology; Security and Emergencies;

Filing Info

• Accession Number: 01767120
• Record Type: Publication
• Files: TRIS, TRB, ATRI
• Created Date: Mar 18 2021 3:10PM