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针对新建机场航空业务量预测中缺乏历史数据的难题,利用动态聚类分析方法,筛选相似机场,获得预测所需数据,依此构筑新建机场的多元回归预测模型。通过实际数据检验,证明该方法是可行的,且精度较高。
Aiming at the lack of historical data in the prediction of aviation airport traffic volume, a dynamic clustering analysis method was used to screen similar airports to obtain the data needed for forecasting. Based on this, a multiple regression prediction model was constructed for the new airport. Through the actual data test, this method is proved to be feasible and accurate.