Research ArticleOpen AccessGoogle Scholar indexed
Prediction of Civil Aviation Passenger Transportation Based on ARIMA Model
College of Science, Guilin University of Technology, Guilin, China
Institute of Applied Statistics, Guilin University of Technology, Guilin, China
- 1 College of Science, Guilin University of Technology, Guilin, China
- 2 Institute of Applied Statistics, Guilin University of Technology, Guilin, China
Open Journal of Statistics·Volume 06 (2016)·Pages 824–834·Published 22 September 2016·DOI10.4236/ojs.2016.65068
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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.
KeywordsPassenger TransportationARIMA ModelSeasonal TrendForecast
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