Air Passenger Distribution Model in Chinese Multiple-airport RegionsReportar como inadecuado

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Abstract: Passenger distribution is a crucial factor in determining airports’ success or failure. Chinese travelers have their own choice characteristics. Application of existing models of passenger choice behavior developed by foreign countries has not obtained obvious effect in China. In this paper, a multinomial logit MNL model is constructed to predict air passenger distribution in multi-airport regions. Parameters in this model are estimated by maximizing the log-likelihood function. Based on the survey data from two airports in Beijing and Tianjin, the proposed model is calibrated. The results indicate that the important airport-choice variables in Chinese multi-airport choice are airfares, flight frequency, experience and access time, orderly. Travelers in developing countries have higher airfare elasticity than those in developed countries, while travelers in developed countries have higher access time elasticity than those in developing countries. In addition, a passenger-s experience is significant in the air passenger distribution in both developed and developing countries. Airport managers may be benefits of attracting nonusers and providing high-quality service.


Keywords: Multiple-Airport Region; Passenger Distribution; Multinomial Logit Model

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Autor: Jiang-tao Liu



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