The Number of Passengers Forecast in Emergency Situation of Airport Based on Time Series Analysis
- Resource Type
- Conference
- Authors
- Li, Bing; Ding, Xiaochen; Han, Wen; Cheng, Long; Yu, Mengying
- Source
- 2009 Second International Symposium on Knowledge Acquisition and Modeling Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on. 2:369-371 Nov, 2009
- Subject
- Computing and Processing
Airports
Time series analysis
Demand forecasting
Economic forecasting
Delay
Disaster management
Weather forecasting
Emergency services
Risk analysis
Knowledge acquisition
Forecast
Service Supply
Time Series Analysis
- Language
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.