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http://dx.doi.org/10.5762/KAIS.2012.13.8.3381

A Study on the Demand Forecasting and Efficient Operation of Jeju National Airport using seasonal ARIMA model  

Kim, Kyung-Bum (Department of Public Administration, Jeju National University)
Hwang, Kyung-Soo (Department of Public Administration, Institute for Social Science Research, Jeju National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.13, no.8, 2012 , pp. 3381-3388 More about this Journal
Abstract
This research is to find out the method appropriate for the forecasting of passennger demand using seasonal ARIMA model and efficient operation in Jeju National Airport. Time series monthly data for the investigation were collected ranging from January 2003 to December 2011. A total of 108 observations were used for data analysis. Research findings showed that the multiplicative seasonal ARIMA(0.1.2)(0.1.1)12 model is appropriate model. The number of passengers in Jeju National Airport will continue to rise, it was expected to surpass 20 million people.
Keywords
Passennger demand; Seasonal ARIMA model; Demand forecasting;
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Times Cited By KSCI : 1  (Citation Analysis)
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