@inproceedings{733ad51f84074bc5b0e17773e55213de,
title = "The dynamic correlation between civil aviation passenger traffic volume and its influential factors based on DCC-GARCH model",
abstract = "In this paper, the DCC-GARCH model is introduced to analyze the dynamic correlation between civil aviation passenger traffic volume and its influential factors. Results from the empirical studies using the statistical data in Beijing show that the GDP and average annual temperature directly affect the development of civil aviation passenger traffic volume, and the degree of correlation between them varies in different time backgrounds. Besides, the correlation between the civil aviation passenger traffic volume and the number of inbound tourists and the consumption level of residents is also getting closer and closer with time.",
keywords = "Civil aviation passenger traffic volume, DCC-GARCH model, Dynamic correlation, Influential factors",
author = "Junling Cai and Ning Zhang",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd 2020.; 4th International Conference on Intelligent Computing, Communication and Devices, ICCD 2018 ; Conference date: 07-12-2018 Through 09-12-2018",
year = "2020",
doi = "10.1007/978-981-13-9406-5\_76",
language = "英语",
isbn = "9789811394058",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "641--648",
editor = "Vipul Jain and Srikanta Patnaik and \{Popentiu Vladicescu\}, Florin and Sethi, \{Ishwar K.\}",
booktitle = "Recent Trends in Intelligent Computing, Communication and Devices - Proceedings of ICCD 2018",
address = "德国",
}