Title :
The Number of Passengers Forecast in Emergency Situation of Airport Based on Time Series Analysis
Author :
Li, Bing ; Ding, Xiaochen ; Han, Wen ; Cheng, Long ; Yu, Mengying
Author_Institution :
Univ. of Int. Bus. & Econ., Beijing, China
fDate :
Nov. 30 2009-Dec. 1 2009
Abstract :
The number of delayed passengers forecast is a key factor to improve the efficiency of airport facility in emergency situation. But it is rarely considered to make a forecast beforehand based on a scientific method preparing for dealing with this kind of event in the future. Aiming at this problem, this paper proposed a forecasting method based on time series analysis. The method provides a relatively all-around approach for airport to better response to emergency.
Keywords :
airports; forecasting theory; time series; airport facility; emergency situation; passengers forecast; time series analysis; Airports; Delay; Demand forecasting; Disaster management; Economic forecasting; Emergency services; Knowledge acquisition; Risk analysis; Time series analysis; Weather forecasting; Forecast; Service Supply; Time Series Analysis;
Conference_Titel :
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3888-4
DOI :
10.1109/KAM.2009.291
