时间序列的机场旅客预测:以三星Çarşamba机场为例

Tahsin Baykal, Fatih Ergezer, S. Terzi
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引用次数: 1

摘要

本研究的目的是利用时间序列分析来估计未来机场旅客的预期数量。为此,使用了2007年1月至2021年5月属于三星Carsamba机场的国内和国际旅客总数。首先对数据进行正态性检验,观察到数据符合正态分布。利用2007年1月至2018年6月的数据,按时间序列估计了2018年7月至2021年5月期间的乘客总数。将估计结果与实际结果进行比较,R2值为0.628。然后,根据2007年1月至2021年5月的所有数据,估计2021年6月至2025年3月期间预计发生的总乘客人数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Airport passenger forecast with time series: case of study Samsun Çarşamba Airport
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 Carsamba 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.
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