This study investigates the rescheduling behavior of pedestrians using airport services based on air passengers’ socio-demographic information and environmental attributes of the airport. It is a part of an overall project involving the development of an intermodal simulator for analyzing pedestrian traffic within intermodal facilities, which requires an understanding of pedestrian behavior. This paper presents a Multinomial Logit (MNL) model for simulating the rescheduling decision making behavioral responses of air passengers. A stated preference survey incorporating the use of a virtual 3D computer-graphic model is employed for data collection. The resulting data is then used for model estimation and validation. The empirical results show that the MNL model is able to predict air passengers’ rescheduling strategies.
['Xuan Liu', 'John M. Usher']
Modeling air passengers’ rescheduling strategies for airport service lines based on an empirical study with the aid of a virtual 3-D computer graphic environment