Research on Prediction of Civil Aviation Business Passenger Travel Volume Based on Prophet
With the intensifying competition in the civil aviation industry,the segmentation and prediction of market demand for civil aviation becomes crucial for its development.As a significant component of civ-il aviation passenger source,accurately predicting the travel volume of business passengers provides a vital foundation for scientific planning,operational management,and revenue management within the industry.In order to explore a highly accurate and interpretable prediction algorithm,this study visualizes and ana-lyzes data on travel volume of business passengers in civil aviation.It proposes a prediction method based on the Prophet model that incorporates data characteristics and conducts experiments and analyses using real-world travel volume data from business passengers in civil aviation.The experimental results demon-strate that the Prophet-based model exhibits higher prediction accuracy and stronger interpretability com-pared to similar models such as ARIMA and LSTM,which validate the effectiveness of the method.
business passengerprediction of travel volumetime series modelProphet model
万方数据
维普
