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- W4207002008 abstract "Due to the recent rapid increase in passenger and cargo air transport demand, the capacity of Jeju International Airport has been approaching its limit. Even though in COVID-19 crisis which has started from Nov 2019, Jeju International Airport still suffers from strong demand in terms of air passenger and cargo transportation. However, it is an undeniable fact that the delay has also increased in Jeju International Airport. In this study, we analyze the correlation between weather and delayed departure operation based on both datum collected from the historical airline operation information and aviation weather statistics of Jeju International Airport. Adopting machine learning techniques, we then analyze weather condition Jeju International Airport and construct a delay prediction model. The model presented in this study is expected to play a useful role to predict aircraft departure delay and contribute to enhance aircraft operation efficiency and punctuality in the Jeju International Airport." @default.
- W4207002008 created "2022-01-26" @default.
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- W4207002008 date "2021-12-01" @default.
- W4207002008 modified "2023-10-14" @default.
- W4207002008 title "Development of a Prediction Model and Correlation Analysis of Weather-induced Flight Delay at Jeju International Airport Using Machine Learning Techniques" @default.
- W4207002008 doi "https://doi.org/10.12985/ksaa.2021.29.4.001" @default.
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