Title :
New Regional Airport Passenger Throughput Forecast Model Based on Airport Groups
Author :
Xu Hong jun ; Tian Jun gai ; Ma Hui tao
Author_Institution :
Econ. & Manage. Coll., Civil Aviation Univ. of China, Tianjin, China
Abstract :
In order to solve the problem of the new airport passenger throughput forecast, a new forecast model which based on airport groups is put forward in this paper. In this model, the competition ability of airports and the important factors which affect passengers travel choice are introduced into it. Then by constructing passenger utility function, the new regional airport passenger throughput can be forecasted. This model will increase the accuracy of the new regional airport passenger throughput forecast. Empirical results show that the method is applicable and effective.
Keywords :
forecasting theory; travel industry; airport groups; competition ability; passenger utility function; passengers travel choice; regional airport passenger throughput forecast model; Airports; Atmospheric modeling; Economic indicators; Forecasting; Predictive models; Throughput;
Conference_Titel :
Management and Service Science (MASS), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6579-8
DOI :
10.1109/ICMSS.2011.5999225