Forecasting the number of Arab and foreign tourists in Egypt using ARIMA models

被引：3

作者：

Ismail, Eman Ahmed Aly ^{[1
]}

机构：

[1] Arab Acad Sci Technol & Maritime Transport, Coll Int Transport & Logist, Smart Village Campus, Alexandria, Egypt

来源：

INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT | 2020年 / 11卷 / 02期

关键词：

Travel; Tourism; Egypt; ARIMA; Time-series model; Unemployment;

D O I：

10.1007/s13198-019-00873-y

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This study aims to explore the situation of tourism in Egypt. The data used cover the periods from 1981 till 2017. By using ARIMA models, the study forecasts the expected numbers of Arab and Foreign tourists for five consecutive years, specifically from the year 2018 till 2022. The study identifies that ARIMA (0,1,0) is the most suitable model for both time series for Arab and foreign tourists. The study implies that the number of tourists in Egypt is going to increase. However, the percentage of increase is expected to decrease throughout the 5 years.

引用

下载

页码：450 / 454

页数：5

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