AIR PASSENGER TRAFFIC FORECASTING ON THE EXAMPLE OF SZCZECIN-GOLENIÓW AIRPORT. METHODOLOGY REVIEW

  • Agnieszka Barczak Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Abstract

Forecasting the air passenger traffic is a vital element in airports functioning. It enables effective usage of infrastructure and available workforce. Therefore, the aim of the paper is to carry out a forecast of the air passenger traffic on the basis of chosen methods. The example for the studies was the Solidarity Szczecin-Goleniów Airport. Data in the monthly and quarterly basis from the years 2010–2016 was used in the analysis. The following forecasting methods were adopted in the paper: seasonality index, Naive Bayes classifier for a time series with seasonal fluctuations and harmonic analysis. The paper finishes with a summary of the obtained results.

Published
Apr 14, 2018
How to Cite
BARCZAK, Agnieszka. AIR PASSENGER TRAFFIC FORECASTING ON THE EXAMPLE OF SZCZECIN-GOLENIÓW AIRPORT. METHODOLOGY REVIEW. Transport Economics and Logistics, [S.l.], v. 74, p. 11-20, apr. 2018. ISSN 2657-6104. Available at: <http://www.znetil.ug.edu.pl/index.php/etil/article/view/167>. Date accessed: 22 nov. 2019.
Section
Economics and Management of Transportation Companies