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Research on the Influencing Factors of Passenger Traffic at Sanya Airport Based on Gray Correlation Theory

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Data Science (ICPCSEE 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1880))

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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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Correspondence to Yuanhui Li or Haiyun Han .

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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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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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-5970-9

  • Online ISBN: 978-981-99-5971-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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