Abstract
It is crucial to correctly predict the passenger flow of an air route for the construction and development of an airport. Based on the passenger flow data of Sanya Airport from 2008 to 2016, this paper respectively adopted Holt-Winter Seasonal Model, ARMA and linear regression model to predict the passenger flow of Sanya Airport from 2017 to 2018. In order to reduce the prediction error and improve the prediction accuracy at meanwhile, the combinatorial weighted method is adopted to predict the data in a combined manner. Upon verification, this method has been proved to be an effective approach to predict the airport passenger flow.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Yan, K., Zhu, J.: Research on airline passenger traffic forecast based on support vector machine regression algorithm. Enterp. Econ. 23, 88–90 (2010)
Qu, T.: Application of combined model in airport passenger throughput forecast. Comput. Simul. 29(4), 108–111 (2014)
Chen, C., Liang, R., Lu, W., et al.: Research on forecast model of passenger traffic based on seasonal SVR - PSO. Syst. Eng.-Theory Pract. 33(1), 1–7 (2013)
Huang, B., Lin, J., Zhen, X.: Forecasting passenger throughput of civil transport airport based on multiple linear regression analysis. Math. Pract. Theory 43(4), 172–178 (2013)
Guan, J.: Prediction of passenger throughput of civil aviation based on gray support vector machine. J. Dalian Jiaotong Univ. 34(6), 41–43 (2013)
Jing, C.: Analysis method of seasonal passenger transport demand based on superposition trend. J. Civ. Aviat. Flight Univ. China 25(2), 5–7+11 (2014)
Chen, Y., Zeng, G.: Research on forecasting passenger throughput of civil aviation based on combination forecasting method: taking Capital Airport as an example. J. Civ. Aviat. Flight Univ. China 32(2), 59–64 (2014)
Tian, Z., Li, S., Wang, Y., et al.: Plication of time series analysis in network traffic forecasting. Control Decis. 30(5), 905–910 (2015)
Du, G., Liu, Y.: Forecast of container throughput in Shanghai port under the influence of seasonal change. J. East China Normal Univ. (Nat. Sci.) 1, 234–239 (2015)
Acknowledgments
This research was financially supported by A cooperative science project between colleges and local government in Sanya (2013YD64) and (2014YD52).
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Liu, X., Huang, X., Chen, L., Qiu, Z., Chen, Mr. (2017). Prediction of Passenger Flow at Sanya Airport Based on Combined Methods. In: Zou, B., Li, M., Wang, H., Song, X., Xie, W., Lu, Z. (eds) Data Science. ICPCSEE 2017. Communications in Computer and Information Science, vol 727. Springer, Singapore. https://doi.org/10.1007/978-981-10-6385-5_61
Download citation
DOI: https://doi.org/10.1007/978-981-10-6385-5_61
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-6384-8
Online ISBN: 978-981-10-6385-5
eBook Packages: Computer ScienceComputer Science (R0)