抄録
This paper explored the impacts of incomplete travel information on airline passengers' choice behavior in practically. We specified three different kinds of utility function to incorporate the effects of incomplete information into choice model and used binary logit model and random coefficient logit model (RCL) to estimate, based on the data collected from a stated choice experiment. From the estimation results, it can be found that the attributes with incomplete information, included airline safety and Consumers' word-of-mouth, were less important than the variables with complete information, such as flight frequency as well as ticket price, after considering the effect of the taste variants between individuals. Further, it was also found that passengers' backgrounds interacted with the incomplete information attributes would significantly have negative impacts on their choices. The higher the passengers' income as well as education, the more negative impacts of incomplete information on their choice behavior.
