시계열 데이터를 활용한 항공 화물 물동량 영향 요인에 관한 연구 : 인천-상하이, 광저우, 톈진, 베이징을 중심으로
A Study on the Factors Affecting Air Cargo Volume Using Time Series Data : Focusing on Incheon-Shanghai, Guangzhou, Tianjin, and Beijing
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Economic indicators are a factor that affects air cargo volume. This study analyzes the different factors affecting air cargo volume by each Chinese cities according to the main characteristics. The purpose of this study is to help companies related to China, airlines, and other stakeholders predict and prepare for the fluctuations in air cargo volume and make optimal decisions. To this end, 20 economic data were used, and the entire data was reduced to 5 dimensions through factor analysis to build a dataset necessary and evaluated the influencing factors by multi regression. The result shows that Macro-Economic Indicators, Production/Service indicators are significant for every cities and Chinese manufacture/Customer indicators, Korean manufacture/Oil Price indicators, Trade/Current indicators are significant for each other city. All adjusted R2 values are high enough to explain our model and the result showed excellent performance in terms of analyzing the different factors which affects air cargo volume. If companies that are currently doing business with China can identify factors affecting China's cargo volume, they can be flexible in response to changes in plans such as plans to enter China, production plans and inventory management, and marketing strategies, which can be of great help in terms of corporate operations.
Abstract
Economic indicators are a factor that affects air cargo volume. This study analyzes the different factors affecting air cargo volume by each Chinese cities according to the main characteristics. The purpose of this study is to help companies related to China, airlines, and other stakeholders predict and prepare for the fluctuations in air cargo volume and make optimal decisions. To this end, 20 economic data were used, and the entire data was reduced to 5 dimensions through factor analysis to build a dataset necessary and evaluated the influencing factors by multi regression. The result shows that Macro-Economic Indicators, Production/Service indicators are significant for every cities and Chinese manufacture/Customer indicators, Korean manufacture/Oil Price indicators, Trade/Current indicators are significant for each other city. All adjusted R2 values are high enough to explain our model and the result showed excellent performance in terms of analyzing the different factors which affects air cargo volume. If companies that are currently doing business with China can identify factors affecting China's cargo volume, they can be flexible in response to changes in plans such as plans to enter China, production plans and inventory management, and marketing strategies, which can be of great help in terms of corporate operations.
참고문헌 (16)
- Chen, S. C., "Improving the Forecasting Accuracy of Air Passenger and Air Cargo Demand : the Application of Back-prop-agation Neural Networks", Transportation Planning and Technology, 35(3), pp.373~392 (2012)
- 최정길, "거시경제변수 (유가와 환율, 다우지수변화)가 한일 항공사 주가에 미치는 영향에 관한 연구", 한국항공경영학회지, 11(4), pp.33~54 (2013), 한국항공경영학회
- Chou, T. Y., "Application of Fuzzy Regression on Air Cargo Volume Forecast", Quality and Quantity, 45(6), pp.1539~1550 (2011)
- Heng, H. J., "Study of SVMbased Air-cargo Demand Forecast Model", IEEE 2009International Conference on Computational Intelligence and Security, 2, pp.53~55 (2009)
- 홍지숙, "시계열 빅데이터를 활용한 김해공항 항공수요예측", 예술인문사회 융합 멀티미디어 논문지, 8(12), pp.899~908 (2018), 사단법인 인문사회과학기술융합학회[DOI]
- Jang, M. S., "A Study on Forecasting of Air Freight in Korea", Journal of the Korean Society for Aeronautical and Flight Operation, 1(5), pp.51~63 (1997)
- Jin, H. G., "Air Cargo De-mand Forecasting using Time Series Data", Journal of Korea Transportation Research Society, 42, pp.1~5 (2002)
- 김석, "경제환경 변화와 항공여객 수요 간의 관계 분석: 인천국제공항을 중심으로", 한국항공운항학회지, 27(4), pp.52~64 (2019), 한국항공운항학회[DOI]
- 이종찬, "한중 무역변화에 대한 한중 FTA 발효효과 분석 ― 전자기기산업을 중심으로", 중국학, (60), pp.265~283 (2017), 대한중국학회[DOI]
- 이강빈, "한⋅중 FTA가 항공운송 부문에 미치는 영향과 우리나라 항공정책의 방향", 항공우주정책 ·법학회지, 32(1), pp.83~138 (2017), 한국항공우주정책⋅법학회
- 민경창, "계절성 ARIMA 모형을 이용한 항공화물 수요예측: 인천국제공항발 유럽항공노선을 중심으로", 대한교통학회지, 31(3), pp.3~18 (2013), 대한교통학회
- Air Demand Forecast Analysis Research, "Ministry of Land, Transport and maritime Affairs", ~ (2015)
- Pehlivanoglu, Y. V., "Time Series Forecasting via Genetic Algorithm for Turkish Air Transport Mar-ket", Journal of Aeronautics and Space Technologies, 2016, pp.9(2), 23~33
- 성호경, "중소기업의 공급사슬망 통합수준이 SCM 성과 및 경영성과에 미치는 영향에 관한 연구", 한국산업경영시스템학회지, 43(3), pp.167~178 (2020), 한국산업경영시스템학회[DOI]
- 성난희, "인테리어 프로젝트 성과에 영향을 미치는 요인에 관한 연구 : 커뮤니케이션 품질요소에 대한 우선순위 인식", 한국산업경영시스템학회지, 43(3), pp.156~166 (2020), 한국산업경영시스템학회[DOI]
- Suryani, E., "Dynamic Simulation Model of Air Cargo Demand Forecast and Ter-minal Capacity Planning", Simulation Modelling Practice and Theory, 28, pp.27~41 (2012)