A Research on Prediction about Air passenger Traffic in the Capital Airport Area

DOI

10.2991/icmra-15.2015.2How to use a DOI?

Keywords

Regression analysis; air passenger traffic; Forecast Model

Abstract

With the continuous development of China's economic level, the amount of air traffic has improved a lot. More and more airports are constructed or expanded in China. In order to avoid the waste of resources caused by too large-scale planning, prediction for air traffic has occupied a more and more important position. Based on the detailed analysis of factors affecting the air passenger traffic, combined with the use of SPSS13.0 software, we try to find out how these factors affect air traffic and how they affect each other. Some methods like trend extrapolation and linear regression analysis are also used in this paper. Considering all these factors together and using these methods mentioned above to get a final predict result.

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/).

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TY  - CONF
AU  - Xiang Chao
AU  - Xifu Wang
PY  - 2015/04
DA  - 2015/04
TI  - A Research on Prediction about Air passenger Traffic in the Capital Airport Area
BT  - Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 5
EP  - 8
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.2
DO  - 10.2991/icmra-15.2015.2
ID  - Chao2015/04
ER  -