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

도심권 공항 터미널 환경 개선을 위한 빅 데이터 기반의 항공수요예측

  • 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)
  • 조힘찬 (한서대학교 항공시스템공학과) ;
  • 곽동기 (한서대학교 항공기계학과) ;
  • 배정환 (한서대학교 공항행정학과)
  • Received : 2019.05.27
  • Accepted : 2019.08.20
  • Published : 2019.08.28


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.


Supported by : Korea Institute for Advancement of Technology(KIAT)


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