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http://dx.doi.org/10.15207/JKCS.2019.10.8.165

Big Data-Based Air Demand Prediction for the Improvement of Airport Terminal Environment in Urban Area  

Cho, Him-Chan (Dept. of Aeronautical System Engineering, Hanseo University)
Kwag, Dong-gi (Dept. of Aeromechanical Engineering, Hanseo University)
Bae, Jeong-hwan (Dept. of Aviation & Public Administration, Hanseo University)
Publication Information
Journal of the Korea Convergence Society / v.10, no.8, 2019 , pp. 165-170 More about this Journal
Abstract
According to the statistics of the Ministry of Land Transport and Transportation in 2018, the average annual average number of air traffic users for has increased by 5.07% for domestic flights and 8.84% for international flights. Korea is facing a steady rise in demand from foreign tourists due to the Korean Wave. At the same time, a new lifestyle that values the quality of life of individuals is taking root, along with the emergence of LCC, and Korean tourists' overseas tours are also increasing, so improvement and expansion of domestic airport passenger terminals is urgently needed. it is important to develop a structured airport infrastructure by making efficient and accurate forecasts of aviation demand. in this study, based on the Big Data, long-term domestic and international demand forecasts for urban airports were conducted.. Domestic flights will see a decrease in the number of airport passengers after 2028, and international flights will continue to increase. It is imperative to improve and expand passenger terminals at domestic airports.
Keywords
Air Traffic Users; Airport Infrastructure; Big Date; Demand Forecasts; Urban Airport;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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