Abstract
Many factors have an effect on the passenger traffic of Sanya Airport. In this paper, seven factors that have a great influence on passenger demand, namely accommodation and catering turnover, number of overnight visitors received, total tourism revenue, average room opening rate of tourist hotels, flight movements, airport passenger flow and railway station passenger flow, are selected to conduct gray correlation analysis on these factors to provide a research basis for passenger flow prediction.
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Acknowledgments
Project supported by the Education Department of Hainan Province, project number: Hnky2022ZD-25.
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Li, Y., Han, H., Ou, Z., Zhao, W. (2023). Research on the Influencing Factors of Passenger Traffic at Sanya Airport Based on Gray Correlation Theory. In: Yu, Z., et al. Data Science. ICPCSEE 2023. Communications in Computer and Information Science, vol 1880. Springer, Singapore. https://doi.org/10.1007/978-981-99-5971-6_12
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DOI: https://doi.org/10.1007/978-981-99-5971-6_12
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