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.
Highlights
In the context of world economic integration, international trade is increasingly frequent
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
The research of this paper is based on the actual situation of the port, combines the achievements of the relevant scholars in this field and makes innovations and improvements, and uses the time series analysis method to analyze the data of container port transportation dynamically
Summary
In the context of world economic integration, international trade is increasingly frequent. As the most widely used means of transport in international trade, container shipping promotes the mechanization and automation of transportation production, and greatly improves the efficiency of international transportation and reduces the transportation cost. Z. Ding modities has led to changes in the demand for container transport. The supply of container transport has undergone great changes. The research of this paper is based on the actual situation of the port, combines the achievements of the relevant scholars in this field and makes innovations and improvements, and uses the time series analysis method to analyze the data of container port transportation dynamically. We combine the latest transport market situation to analyze the container port transport, which has some guidance on the production of first-line transport
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