Author(s)

Xinxin Tang¹, Guangming Deng^1,2

¹College of Science, Guilin University of Technology, Guilin, China.
²Institute of Applied Statistics, Guilin University of Technology, Guilin, China.

The passenger transportation, as an important index to describe the scale of aviation passenger transport, prediction and research, can let us understand the future trend of the aviation passenger transport, according to it, the airline can make corresponding marketing strategy adjustment. Combining with the knowledge of time series let us understand the characteristics of passenger transportation change, the R software is used to fit the data, so as to establish the ARIMA(1,1,8) model to describe the civil aviation passenger transport developing trend in the future and to make reasonable predictions.

Passenger Transportation, ARIMA Model, Seasonal Trend, Forecast

Tang, X. and Deng, G. (2016) Prediction of Civil Aviation Passenger Transportation Based on ARIMA Model. Open Journal of Statistics, 6, 824-834. doi: 10.4236/ojs.2016.65068.