Airport passenger forecast with time series: case of study Samsun Çarşamba Airport

Abstract

This study, it is aimed to estimate the number of airport passengers expected to be in the future with time series analysis. For this purpose, the total number of domestic and international passengers between January 2007 and May 2021 belonging to Samsun Çarşamba Airport was used. First, the normality test was applied to the data and it was observed that the data complied with the normal distribution. Using data from January 2007 to June 2018, the total number of passengers between July 2018 and May 2021 was estimated by time series. The estimated results were compared with the actual results and the R2 value was 0.628. Then, with all data between January 2007 and May 2021, the total number of passengers expected to occur between June 2021 and March 2025 was estimated.

Keywords

• Time Series
• Transportation
• Airline Transportation
• Airline Transportation Planning

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