Forecast and Analysis of Cargo Flow of Airport Comprehensive Transportation Hub Using Machine Learning Method

Reasonable layout of air cargo transportation and development of aviation hub economy play a key role in the efficient operation of the airport. Scientific cargo flow prediction is an important basis for subsequent design. Taking Changsha's GDP as the influencing factor, this paper forecasts Huanghua International Airport's cargo throughput in the next few years by using Machine Learning method. It provides scientific decision-making basis for airport development planning and provides experience and design ideas for other similar comprehensive transportation hub construction.