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Forecasting Passenger Traffic For A Regional Airport

Author

Listed:
  • OPREANA ALIN

    (Lucian Blaga University of Sibiu, Romania)

  • ȚICHINDELEAN MIHAI

    (Lucian Blaga University of Sibiu, Romania)

  • MIHAIU DIANA MARIETA

    (Lucian Blaga University of Sibiu, Romania)

  • TILEAGĂ COSMIN

    (Lucian Blaga University of Sibiu, Romania)

Abstract

The purpose of the present research is estimating the potential traffic for SIA (Sibiu International Airport, SBZ) for the year 2017. Predicting as accurate as possible the passenger traffic for a certain airport is an aspect of major importance for both the airport management and the airline companies. The theoretical quality of the forecasting models for air traffic of passengers is fundamental for obtaining the most accurate predictions. In this regard, a two-step process was used in developing the traffic forecasting model: (1) Identifying the proper regression model for traffic estimation based on the number of aircraft departures, and (2) Forecasting the number of aircraft departures for the current routes operated SIA. The predicted total passenger traffic overestimates the actual total traffic with only 2.4% and the actual total traffic without the transit traffic with only 1.42%.

Suggested Citation

  • Opreana Alin & Țichindelean Mihai & Mihaiu Diana Marieta & Tileagă Cosmin, 2019. "Forecasting Passenger Traffic For A Regional Airport," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 14(2), pages 105-114, August.
    • Handle: RePEc:blg:journl:v:14:y:2019:i:2:p:105-114
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    File URL: http://eccsf.ulbsibiu.ro/RePEc/blg/journl/14208opreana.pdf
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    References listed on IDEAS

    as
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