FORECASTING PASSENGER TRAFFIC FOR A REGIONAL AIRPORT
Mihaiu Diana Marieta and
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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
Authors registered in the RePEc Author Service: Mihai Tichindelean ()
Studies in Business and Economics, 2019, vol. 14, issue 2, 105-114
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%.
Keywords: air traffic; traffic forecasting model; regression model; regional airport (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:blg:journl:v:14:y:2019:i:2:p:105-114
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