دانلود رایگان مقاله بررسی رفتار انتخاب فرودگاه مسافران با مدل انتخاب ترکیبی

abstract

Improving explanatory power is significantly important to understand variables that affect attitudes and perceptions in the decision process. This paper estimates not only tangible attributes but also intangible perceptions and attitudes using a hybrid-choice model to study air passengers' flight choice behavior. The empirical study was conducted for the choice behavior of air passengers at Seoul Metropolitan Area, South Korea. The analysis uses a two-level Nested Logit model in order to examine which factors have more effect on passengers’ choice of airport and airline simultaneously by using airport and airline choice attributes. The study also estimated the parameters in the equations relating the latent variable by using Structural Equation Model (SEM). The results indicate that the models with latent variables have improved Goodness-of-Fit when compared to classical discrete choice models and effectively capture psychological factors that affect choice behavior of passengers.

7. Conclusion

The amount willing to pay (WTP) for reducing flight time and access time is estimated based on two-level NL and NL with latent models. The travelers in the market would be prepared to pay 46.9(US $) and 79.2$ respectively more to reduce 1 h of flight time and willing to pay 12.6(US $) and 18.6$ respectively more to reduce 1 h of access time. Airports in a multiple airport region may have to compete with other airports for departing passengers since choice of airport by passengers is done by comparing airport service offered by the airline and access mode (Pels et al., 2003). The results of WTP indicate that reducing flight time is more important for international long-haul travel than reducing access time. To reduce flight time, the strategy of airline route is significant. Therefore cooperating with airline company managers is essential cause to improve airport's competitive power.