Airport transfer dependency on neighbour hubs – the case of Taoyuan Airport’s aviation network

Author(s):  
Yu-Chun Chang ◽  
Wei-Hao Lee ◽  
Yi-Ting Wu ◽  
Chien-You Hsiao
Keyword(s):  
Author(s):  
Melody D. M. Dai ◽  
Cheng-Chang Lin ◽  
Jong Shyang Liou

Aviation ◽  
2016 ◽  
Vol 20 (1) ◽  
pp. 32-37 ◽  
Author(s):  
Allan NÕMMIK ◽  
Sven KUKEMELK

The gravity model is a method that is used by transportation researchers, airline network planners and analysts to explain how traffic is distributed between city pairs in correlation to the distance or travelling time between them, which as a result indicates the behaviour of travellers or the performance of the transport connection. How ever, the applicability of the model depends on the reliability of the results, which poses a major issue for researches. The major difficulty is to obtain comparable qualitative insights into the key parameters that are selected. This paper presents a possibility study for the use of the gravity model for regional route planning from the scientific point of view and suggests possibilities of gravity model calibration for airline network analysis including alternative methods for estimating the gravity potential of destinations and measurement of the influence of distance on the potential. The focus of the research is the ability to explain and forecast the development of regional air transportation routes in the commercial aviation network when there is a lack of recorded booking demand data.


2015 ◽  
Vol 24 (1) ◽  
pp. 55-67
Author(s):  
Lan Ma ◽  
Shaopu Ma ◽  
Zhijun Wu

AbstractThe security of the civil aviation network is closely related to flight safety. Security situation prediction is the advanced stage of situational awareness in the civil aviation network. In this article, a prediction approach of security situations for the air traffic management network is proposed on the basis of the wavelet neural network. The proposed approach adopts the wavelet theory and neural network, combining a time-series forecasting method for the prediction of security situations in the civil aviation network. The experimental results show that this approach has the advantages of fast training and high prediction accuracy.


2002 ◽  
Vol 19 ◽  
pp. 745-750
Author(s):  
Hideyuki KITA ◽  
Hirohiko SAKATA ◽  
Keishi TANIMOTO

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