Parking Demand Forecasting in Airport Ground Transportation System: Case Study in Hongqiao Airport
Authors
Chang Lin, Weifeng Li, Yan Huanh, Ge Yang
Corresponding Author
Chang Lin
Available Online January 2015.
- 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/).
Cite this article
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 -