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A Study on the Air Travel Demand Forecasting using time series ARIMA-Intervention Model
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 Title & Authors
A Study on the Air Travel Demand Forecasting using time series ARIMA-Intervention Model
Kim, Min-Su; Kim, Kee-Woong; Park, Sung-Sik;
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 Abstract
The purpose of this study is to analyze the effect of intervention variables which may affect the air travel demand for Jeju domestic flights and to anticipate the air travel demand for Jeju domestic flights. The air travel demand forecasts for Jeju domestic flights are conducted through ARIMA-Intervention Model selecting five intervention variables such as 2002 World Cup games, SARS, novel swine-origin influenza A, Yeonpyeongdo bombardment and Japan big earthquake. The result revealed that the risk factor such as the threat of war that is a negative intervention incident and occurred in Korea has the negative impact on the air travel demand due to the response of risk aversion by users. However, when local natural disasters (earthquakes, etc) occurring in neighboring courtiers and global outbreak of an epidemic gave the negligible impact to Korea, negative intervention incident would have a positive impact on air travel demand as a response to find alternative due to rational expectation of air travel customers. Also we realize that a mega-event such as the 2002 Korea-Japan World Cup games reduced the air travel demand in a short-term period unlike the perception in which it will increase the air travel demand and travel demands in the corresponding area.
 Keywords
ARIMA Intervention Model;Forecasting;Jeju;Domestic flights and air travel demand;
 Language
Korean
 Cited by
1.
개입 승법계절 ARIMA와 인공신경망모형을 이용한 해상운송 물동량의 예측,김창범;

한국항만경제학회지, 2015. vol.31. 1, pp.69-84
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