Empirical Analysis and Predictions of Civil Aviation Passenger Traffic Based on ARIMA model

DOI

10.2991/icmmita-15.2015.350How to use a DOI?

Keywords

Civil Aviation; Passenger Traffic; ARIMA Model; Prediction

Abstract

With the help of statistical software Eview6.0, qualitative analysis is carried out of China's civil aviation passenger traffic since reform and opening up. It is found that China’s civil aviation passenger traffic development experienced three stages: slow development stage from 1978 to1990, relatively rapid development stage from 1991 to 2003 and rapid development stage from 2004 until now. By carrying on the empirical analysis and forecasting through constructing the ARIMA model of passenger traffic, it shows that ARIMA (2, 2, 1) has a better fitting effect on the original data sequence and can undertake short-term forecast of passenger traffic, which provide data support for civil aviation passenger traffic regulation.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Xiaoxia Zhao
AU  - Hongxia Zhao
PY  - 2015/11
DA  - 2015/11
TI  - Empirical Analysis and Predictions of Civil Aviation Passenger Traffic Based on ARIMA model
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1869
EP  - 1873
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.350
DO  - 10.2991/icmmita-15.2015.350
ID  - Zhao2015/11
ER  -