Abstract
The forecast of airport passenger throughput can provide a scientific basis for airport construction and management and has important reference value. A Gray model GM(1,1) is established to predict the passenger flow of Sanya Phoenix International Airport in 2018 and 2019 by collecting yearly and monthly passenger flow data from 2012 to 2017. The results indicate that the predicted values are in good agreement with the actual values and that the relative errors are very close, which means that both the monthly forecast and the annual forecast can well reflect the actual situation of the airport passenger flow.
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This project was supported by the Education Department of Hainan Province (project number: Hnky2022ZD-25).
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Li, Y., Han, H. (2022). Forecast and Analysis of Passenger Flow at Sanya Airport Based on Gray System Theory. In: Wang, Y., Zhu, G., Han, Q., Zhang, L., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2022. Communications in Computer and Information Science, vol 1629. Springer, Singapore. https://doi.org/10.1007/978-981-19-5209-8_29
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DOI: https://doi.org/10.1007/978-981-19-5209-8_29
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