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

Abstract

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.

Keywords

• baolan high-speed railway
• lanzhou
• time series
• rational
• prediction
• 91b74
• 62m20
• 65g50