101. Prediction of Civil Aviation Passenger Transportation Based on ARIMA Model
- Author
-
Xinxin Tang and Guangming Deng
- Subjects
050210 logistics & transportation ,Index (economics) ,business.industry ,Computer science ,Aviation ,05 social sciences ,Future trend ,Civil aviation ,02 engineering and technology ,Marketing strategy ,Passenger transport ,Transport engineering ,020204 information systems ,Scale (social sciences) ,0502 economics and business ,0202 electrical engineering, electronic engineering, information engineering ,Autoregressive integrated moving average ,business - Abstract
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.
- Published
- 2016
- Full Text
- View/download PDF