Parking Demand Forecasting in Airport Ground Transportation System: Case Study in Hongqiao Airport

DOI

10.2991/isci-15.2015.293How to use a DOI?

Keywords

Hongqiao Airport; Ground transportation; Parking demand forecasting; ARIMA model

Abstract

This paper addressed the parking demand forecasting in airport ground transportation system, and demonstrated here in Hongqiao Airport. The moving-average model (MA model) is used to model and estimate the parking demand with the scheduled arrival passengers and the departure passengers. The results indicated that all the coefficients are significant which confirmed the validation of the proposed approach.

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  - Chang Lin
AU  - Weifeng Li
AU  - Yan Huanh
AU  - Ge Yang
PY  - 2015/01
DA  - 2015/01
TI  - Parking Demand Forecasting in Airport Ground Transportation System: Case Study in Hongqiao Airport
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 2242
EP  - 2250
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.293
DO  - 10.2991/isci-15.2015.293
ID  - Lin2015/01
ER  -