The analysis of port handing capacity is of great significance to the construction and planning of the port. Using the data of the last 12 years, X11 method is used to separate the long-term trend. The results show that the port handing capacity tends to increase linearly. We use difference method to eliminate the effect of the long-term trend and the seasonal effect, choose ARIMA model to fit the development of the sequence after repeated attempts. With these data that from May to August in 2017 as the comparison sample,the model predicted the data very precisely.
The analysis of civil aviation's passenger turnover is of great significance to civil aviation department. According to the data of civil aviation's passenger turnover in the last 12 years, using the X11 method, the long-term trend was separated, and the results showed that the civil aviation's passenger turnover was linearly increasing and there was a seasonal effect of one year cycle. Using the difference method to eliminate the influence of long-term trend and seasonal effect, ARIMA model was proposed to fit the development of the sequence. Taking the data from January to September in 2017 as the test sample, the model predicted the data very precisely.
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