Tourists Forecast Lanzhou Based on the Baolan High-Speed Railway by the Arima Model

被引：12

作者：

Li, Lijun ^{[1
]}

Wang, Yaru ^{[1
]}

Li, Xiaoyue ^{[2
]}

机构：

[1] Shijiazhuang Tiedao Univ, Sch Econ & Management, Shijiazhuang 050043, Hebei, Peoples R China

[2] Ohio State Univ, Fisher Coll Business, Columbus, OH 43210 USA

来源：

APPLIED MATHEMATICS AND NONLINEAR SCIENCES | 2020年 / 5卷 / 01期

关键词：

Baolan high-speed railway; Lanzhou; time series; rational; prediction;

D O I：

10.2478/AMNS.2020.1.00006

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

According to the analysis from the number of tourists who went to Lanzhou during 2009-2019, the ARIMA model of the number of tourists to Lanzhou was established. The results show that the AR(3) model is used to predict the number of tourists who traveled to Lanzhou during 2009-2019. The average relative error between the predicted value and the actual value is 1.03%, which can be used to predict and analyze the number of tourists in Lanzhou in the future.

引用

页码：55 / 60

页数：6