Effect of the load factor on the ticket price

• Autorzy: Szabo S. , Mako S. , Tobisova A. , Hanak P. , Pilat M.

Identyfikatory

DOI

10.20858/tp.2018.13.3.4

• Języki publikacji: EN

Abstrakty

EN

The factor of the aircraft load or sometimes simply called the load factor is the rate of capacity of the airline. It is also known as the efficiency measure and is therefore the most commonly used estimate to describe the performance of the airline. Achieving high load factor is considerably important for the profitability of the airline, and it is interesting to identify factors that could influence the factors of the aircraft load. To describe the problem of load factor and airfare, we chose the Airbus A319 aircraft on the Bratislava (BTS) and Larnaca (LCA) routes. The data we used to calculate the individual indicators are based on real resources and give us a clear example of how the load factor affects the ticket price.

Słowa kluczowe

EN

load factor; ticket price; airline

PL

współczynnik obciążenia; cena biletu; linia lotnicza

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Transport Problems
• Rocznik: 2018
• Tom: T. 13, z. 3
• Strony: 41--49
• Opis fizyczny: Bibliogr. 9 poz.

Twórcy

autor

Szabo S.

• Technical University of Kosice, Faculty of Aeronautics, Rampová 7, 041 21 Košice, Slovak Republic

autor

Mako S.

• Technical University of Kosice, Faculty of Aeronautics, Rampová 7, 041 21 Košice, Slovak Republic

autor

Tobisova A.

• Technical University of Kosice, Faculty of Aeronautics, Rampová 7, 041 21 Košice, Slovak Republic

autor

Hanak P.

• Technical University of Kosice, Faculty of Aeronautics, Rampová 7, 041 21 Košice, Slovak Republic

autor

Pilat M.

• Technical University of Kosice, Faculty of Aeronautics, Rampová 7, 041 21 Košice, Slovak Republic

Bibliografia

• 1. Holloway, S. Straight and level: Practical airline economics. Third Edition. New York: Routledge. 2012. 587 p.
• 2. Kasturi, E. et al. Airline Route profitability analysis and Optimization using BIG DATA analyticson aviation data sets under heuristic techniques. Procedia Computer Science. 2016. Vol. 87. P. 86-92
• 3. Kölker, K. et al. From passenger growth to aircraft movements. Journal of air transport management. 2016. Vol. 56. P. 99-106.
• 4. Laik, M.N. et al. Predicting airline passenger load: A case study. In: Proceedings - 16th IEEE Conference on Business Informatics. 2014. Vol. 1. Article no. 6904134. P. 33-38.
• 5. Moss, S. et al. Airline quality, load factors and performance. Journal of Management Information and Decision Science. 2016. Vol. 19. No. 1. P. 68-85.
• 6. Pierson, K. et al. Cyclical dynamics of airline industry earnings. System Dynamics Review. 2013. Vol. 29. No. 3. P. 129-156.
• 7. Pruša, J. et al. Svět letecké dopravy II. Rozšírené vydání. Galileo Trading s.r.o. 2015. ISBN 978-80-260-8309-2. [In Czech: Pruša, J. et al. Aviation World II. Extended Edition]
• 8. Tesfay, Y.Y. & Solibakke, P.B. Spectral density estimation of European airlines load factors for Europe-Middle East and Europe-Far East flights. European Transport Research Review. 2015. Vol. 7. No. 14. P. 1-11.
• 9. Wittman, M.D. et al. Personalization in airline revenue management - Heuristics for real-time adjustment of availability and fares. Journal of Revenue and Pricing Management. 2017. Vol. 16. No. 4. P. 376-396.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).