Statistical analysis of passenger transport in European countries with large gross domestic product

• Autorzy: Seta Filip , Tomaszewska Justyna , Woch Marta , Zieja Mariusz

Identyfikatory

DOI

10.26408/srsp-2021-17

• Konferencja: 15th Summer Safety & Reliability Seminars - SSARS 2021, 5-12 September 2021, Ciechocinek, Poland
• Języki publikacji: EN

Abstrakty

EN

The aim of this chapter is to present, based on an analysis of collected monthly, quarterly and annual statistics, the changeover thirteen years in the capacity of airports in three European countries with the largest gross domestic product: Switzerland, Norway and Luxembourg. In these countries the airports with the highest number of passengers are located in Zurich, Gardermoen and Luxembourg City. Zurich-Kloten International Airport with 31.1 million passengers in 2018, Oslo-Gardermoen International Airport with 28 million passengers served in 2018 and Luxembourg International Airport as the only airport in Luxembourg with 1.9 million visitors in 2018. On the basis of selected airports and the annual, quarterly and monthly statistics, it is possible to determine the capacity situation at given airports and in which periods airports are least and most occupied by passengers.

Słowa kluczowe

EN

aviation; analysis; statistics; Zurich; Oslo; Luxembourg; airport; fixed base method; chain base method

• Wydawca: Gdynia Maritime University ; Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Safety and Reliability of Systems and Processes
• Rocznik: 2021
• Tom: Summer Safety and Reliability Seminar 2021
• Strony: 317--325
• Opis fizyczny: Bibliogr. 10 poz., tab., wykr.

Twórcy

autor

Seta Filip

• Polish Air Force Academy, Dęblin, Poland

• https://orcid.org/0000-0001-6460-3060

autor

Tomaszewska Justyna

• Polish Air Force Academy, Dęblin, Poland

• https://orcid.org/0000-0001-6883-7235

autor

Woch Marta

• Air Force Institute of Technology, Warsaw, Poland

• https://orcid.org/0000-0003-4872-0720

autor

Zieja Mariusz

• Air Force Institute of Technology, Warsaw, Poland

• https://orcid.org/0000-0003-1494-4099

Bibliografia

• Adhikari, R. & Agrawal, R.K. 2013. An Introductory Study on Time Series Modeling and Forecasting. LAP Lambert Academic Publishing.
• Airport Technology, https://www.airport-technology.com(accessed 01 June 2021).
• Biel, V.J.P., Gehring, J.M., Lambert, V. & Erpelding, J.-P. 2021. Luxembourg. Encyclopedia Britannica, https://www.britannica.com/place/Luxembourg (accessed 01 Jun 2021).
• Christensen, J., Joys, C., Weibull, J., Sandvik, G. & Enander, H. 2021. Norway. Encyclopedia Britannica, https://www.britannica.com/place/Norway (accessed 01 Jun 2021).
• Etuk, E. 2016. A novel algorithm for sarima model fitting: modelling pound-euro exchange rates as case study. The Journal of Scientific and Engineering Research.
• EuroStat, https://ec.europa.eu/eurostat/data/database (accessed 28 May 2021).
• Maissen, T., Wachter, D., Egli, E.& Diem, A. 2021. Switzerland. Encyclopedia Britannica. https://www.britannica.com/place/Switzerland. (accessed 01 Jun 2021).
• Ralph, J., O'Neill, R. & Winton, J. 2015.A Practical Introduction to Index Numbers. Wiley.
• Sumner, A., Hoy, C. & Ortiz-Juarez, E. 2020. Estimates of the Impact of COVID-19on Global Poverty. UNU-WIDER.
• Sun, X., Wandelt, S., Zheng, C. & Zhang, A. 2021. COVID-19 pandemic and air transportation: successfully navigating the paper hurricane. Journal of Air Transport Management 94, 102062.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).