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도심권 공항 터미널 환경 개선을 위한 빅 데이터 기반의 항공수요예측

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

  • 조힘찬 (한서대학교 항공시스템공학과) ;
  • 곽동기 (한서대학교 항공기계학과) ;
  • 배정환 (한서대학교 공항행정학과)
  • 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)
  • 투고 : 2019.05.27
  • 심사 : 2019.08.20
  • 발행 : 2019.08.28

초록

2018년 국토교통부의 통계에 따르면, 연평균 항공교통이용자만 국내선 5.07%, 국제선 8.84%가 증가하였다. 한류의 열풍으로 인해 지속적인 외국인 관광객의 수요가 증가하고 있다. 동시에 개인의 삶의 질을 중요시하는 새로운 생활 문화가 자리잡아가고 있으며 이와 더불어 저가 항공사의 출현으로 인해 내국인의 해외 관광 또한 증가하고 있다. 따라서 효율적이고 정확한 항공 수요예측을 진행하여 체계적인 공항 인프라를 조성하는 것이 중요하다. 본 연구에서는 빅 데이터(big data)를 기반으로 하여 도심권 공항의 국내선 및 국제선 장기 수요예측을 진행하였다. 국내선의 경우 2028년 이후 인구 감소에 따라 공항이용객이 다소 감소할 것이며, 국제선은 GDP증가에 따라 지속적으로 증가할 전망이다. 따라서 미래의 항공수요에 대처하기 위해서는 국내 공항의 여객터미널 개선 및 확충이 절실하다.

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.

키워드

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