摘要
针对四川省成都市的天府机场和双流机场2个机场的旅客、货运吞吐量数据,采用灰色预测方法建立数学模型,并运用MATLAB软件对成都市机场的客运和货运吞吐量进行数学建模。模型检验结果证明灰色预测方法是可行的。采用该模型对成都市双机场未来4年(2024—2027年)吞吐量进行预测,结果显示,在未来4年,天府国际机场的客、货运吞吐量呈现增加的趋势,这也表明成都市双机场在西南地区承担着重要的运输枢纽作用。
Utilizing the passenger,cargo and mail throughput data from Tianfu International Airport and Shuangliu International Airport in Chengdu,Sichuan Province,a mathematical model has been developed employing the grey prediction method.MATLAB software was utilized to analyze the passenger and cargo throughput of Chengdu International Airport.The results of model testing indicate that the grey prediction method is viable.This model is employed to project the throughput of Chengdu's twin airports over the next four years(2024-2027).Findings suggest that both passenger and cargo throughput at Tianfu International Airport will indicate growth during this period,underscoring the significant role played by Chengdu's twin airports in Southwest China.
出处
《科技创新与应用》
2025年第8期44-47,共4页
Technology Innovation and Application
基金
四川省大学生创新创业训练计划项目(S202410624126)。
关键词
双流国际机场
天府国际机场
灰色模型
吞吐量预测
客运与货运
Shuangliu International Airport
Tianfu International Airport
Grey model
throughput forecasting
passenger and freight transportation
作者简介
第一作者:赵裕靖(2000-),女,硕士研究生。研究方向为飞行运行及安全技术。
