Research on Improved Grey Prediction Method of Airport Passenger Throughput

DOI

10.2991/masta-19.2019.16How to use a DOI?

Keywords

Improved grey prediction, Passenger throughput, Airport

Abstract

Airport passenger throughput prediction is of great significance to the operation and development of the airport. Based on the grey prediction method, this paper studies the future passenger throughput of the Capital International Airport and the Beijing New Airport. In this paper, the traditional grey prediction model is improved and the passenger throughput of the two airports from 2019 to 2025 is predicted and analyzed. The prediction results show that the improved grey model can improve the accuracy and reduce the prediction error.

Copyright

© 2019, 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  - Jia-juan Chen
AU  - Da-chuan Ding
AU  - Chuan-tao Wang
PY  - 2019/07
DA  - 2019/07
TI  - Research on Improved Grey Prediction Method of Airport Passenger Throughput
BT  - Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
PB  - Atlantis Press
SP  - 96
EP  - 100
SN  - 1951-6851
UR  - https://doi.org/10.2991/masta-19.2019.16
DO  - 10.2991/masta-19.2019.16
ID  - Chen2019/07
ER  -