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Prediction of Container Throughput in China

DOI: 10.4236/chnstd.2018.71002, PP. 12-20

Keywords: Container Port, Throughput, Time Series Analysis, SARIMA Model

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Abstract:

In this paper, we will use the time series analysis method to predict the throughput of the research, through the establishment of time series SARIMA model, using the January-February 2017 domestic container throughput statistics of the main container port forecast from March 2017 to December 2020 container throughput data and analyze the trend of the throughput of major container ports in China in the coming year according to the forecast results. At the same time, we will use R software to analyze the time series of the throughput of China’s major container ports. By decomposing the time series and correcting the seasonal differences of the data, a seasonally revised time series chart is obtained. Based on the above analysis, this paper predicts that by 2020 China’s major container port throughput will be at the level of 250 million TEU-270 million TEU.

References

[1]  Jian, Y. (2005). Study on Port Container Throughput Prediction Based on Cluster Analysis. Dalian University of Technology.
[2]  Ma, X. H. (2010). Research on the Balance between Supply and Demand of Container Port Throughput in China. Dalian Maritime University.
[3]  Xu, X., & Shi, X. J. (2002). Real-Time Forecasting Model of Shenzhen Port Based on BP Neural Network. Journal of Hohai University (Natural Science).
[4]  Zhai, X. D. (2006). Study on Container Container Throughput Prediction Model. Dalian University of Technology.
[5]  Zhu, X. M. (2014). Study on the Correlation Model of Container Throughput and GDP in Coastal Ports. Dalian Maritime University.

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