Comparison of Two Grey Models’ Applicability to the Prediction of Passenger Flow in Sanya Airport  

作　　者：Yinan Chen Yuanhui Li 

机构地区：[1]Sanya Aviation and Tourism College,Sanya 572000,Hainan,China

出　　处：《国际计算机前沿大会会议论文集》2023年第2期225-236,共12页International Conference of Pioneering Computer Scientists, Engineers and Educators（ICPCSEE）

基　　金：Project supported by the Education Department of Hainan Province,project number:Hnky2022ZD-25.

摘　　要：The city airport serves as a fundamental infrastructure for air trans-portation,with its development planning largely contingent upon the prognosti-cation of future airport activities’busyness.Given the multifarious factors that influence passengerflow,such as population size,economic structure,industrial policy,geographical location,and comprehensive transportation,grey system has the characteristic of incomplete information,and the passenger traffic at the airport conforms to this feature.In this article,the GM(1,1)grey prediction model and the GM(2,1)grey prediction model are respectively applied to predict the passengerflow of Sanya Airport,and the suitability of each model is compared.The out-comes show that the GM(2,1)grey model outperforms the GM(1,1)grey model in relation to the average relative error rate,the single point maximum error,the mean square error of relative error,and the average relative accuracy.

关 键 词：AIRPORT Passengerflow Grey models PREDICT 

分 类 号：F56[经济管理—产业经济]