دانلود رایگان مقاله مدل سازی رفتار انتخابی حالت دسترسی زمینی به فرودگاه

abstract

The increase in air transportation mode share, thereby the passenger traffic at airports has made the ground access to the airports more important in recent years. The aim of this study is to analyze the ground access mode choice to airports by using Multinomial Logit (MNL). In particular, our focus is on how transit areas of influence affect the mode choice for travelling to airports. Atatürk International Airport (IST) in Istanbul, Turkey was selected for the analyses and the investigated modes to access IST were automobile, drop-off, public transit, and taxi. The results showed that significant factors and variables included the trip distance to access IST, type of destination, trip cost to IST, automobile ownership status, employment status, travelling group size, location of the trip origin with respect to public transit influence, and time difference between the flight time and departure time to IST. It is also concluded that if the trip origin to IST was inside the influence areas of public transit, then public transit would be more likely to be chosen over other modes for accessing IST.

4. Conclusions

In this study, ground access mode choice for IST in Istanbul, Turkey was investigated using MNL modeling. Four types of modes were included in the study: Auto, drop-off, public transit, and taxi. As being different from other studies in the literature, investigation of the effects of influence areas of public transit systems in Istanbul on mode choice for airport access was made. To understand these potential effects, public transit influence was added to MNL model as a factor. It was seen that origin of the trip to airport is a determining factor for choosing the public transit. If a specific origin is in the influence area of a public transit system, then the passenger is more likely to choose public transit over the other modes.