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Determinants of wave-system structures of network airlines at hub airports
Affiliation:1. Università di Bergamo, Italy;2. Università Bocconi, Italy;1. School of Economics and Management, Beihang University, Beijing, China;2. National School of Development, Peking University, Beijing, China;1. Centre for Air Transport Management, Martell House, Cranfield University, Bedforshire MK43 0TR, United Kingdom;2. University of Edinburgh Business School, Management Science and Business,Economics Group, Edinburgh EH8 9JS, United Kingdom;3. Statistics Division, Department of Computer and Information Science, Linköping University, 581 83 Linköping, Sweden
Abstract:This paper attempted to analyze the factors influencing the existence and configuration of wave-system structures of large network airlines at hub airports based on the statistical data of daily flight schedules. A bootstrapped binary logistic regression model was used to analyze the relationship between wave-system structure and its influential factors. Further, a partial least squared regression model was employed to uncover the determinants of wave-system structures' configuration. It is found that the interaction effects of two types of flight rates positively determine the existence of a wave-system structure, and the rate of airline's daily flights had the biggest impact on the configurations of wave-system structures.
Keywords:Wave-system structure  Network airlines  Hub airports  Bootstrapped binary logistic regression model  Partial least square regression model
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