Article
Tourists Forecast Lanzhou Based on the Baolan High-Speed Railway by the Arima Model
Authors
, and
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
Citation
Li, L., Wang, Y., & Li, X. (2020). Tourists forecast lanzhou based on the baolan high-speed railway by the arima model. Applied Mathematics and Nonlinear Sciences, 5(1), 55–60. https://doi.org/10.2478/amns.2020.1.00006
L. Li, Y. Wang and X. Li, “Tourists forecast lanzhou based on the baolan high-speed railway by the arima model,” Applied Mathematics and Nonlinear Sciences, vol. 5, no. 1, pp. 55–60, 2020, doi: 10.2478/amns.2020.1.00006.
Li L, Wang Y, Li X. Tourists forecast lanzhou based on the baolan high-speed railway by the arima model. Applied Mathematics and Nonlinear Sciences. 2020;5(1):55–60. doi:10.2478/amns.2020.1.00006.
Li, L., Wang, Y. and Li, X. (2020), ‘Tourists forecast lanzhou based on the baolan high-speed railway by the arima model’, Applied Mathematics and Nonlinear Sciences, 5(1), pp. 55–60. Available at: https://doi.org/10.2478/amns.2020.1.00006.
Li, Lijun, et al. “Tourists Forecast Lanzhou Based on the Baolan High-speed Railway by the Arima Model.” Applied Mathematics and Nonlinear Sciences, vol. 5, no. 1, 2020, pp. 55–60. https://doi.org/10.2478/amns.2020.1.00006.
Li, Lijun, Yaru Wang, and Xiaoyue Li. “Tourists Forecast Lanzhou Based on the Baolan High-speed Railway by the Arima Model.” Applied Mathematics and Nonlinear Sciences 5, no. 1 (2020): 55–60. https://doi.org/10.2478/amns.2020.1.00006.
Export citation
Published by: Engineering Journals
