Airport accessibility is an important factor for airport choice and therefore also for airport competition. When air passengers choose an itinerary, they reflect on the transport chain from door to door. Therefore, factors affecting the traveller’s decision for a particular option go beyond the price and quality of air services from airport to airport. The decision for or against a particular air service and a particular airport is to a certain extent dependent on the accessibility of the airport.
The aim of the article is to present the preliminary research of factors which influence choice of transport mode used in order to reach Warsaw Chopin Airport (WAW). The hypothesis of the paper is that the most common transport modes to WAW is private transport. The data were collected based on survey distributed within passengers in May 2015. The results show that there is a relation between flight destination from WAW and distance from the point of origin to airport and also between kind of traveller and transport mode used by his/her. There is also the conclusion that the most common transport modes from and to the airport in Europe is used very rarely in Warsaw.
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1. Foote P.J. LaBelle S.J. & Stuart D.G. (1997). Increasing rail transit access to airports in Chicago. Transportation Research. 1600 1-9.
2. Ling Tam M. Lam Tam M. & Lam W.H.K. (2005). Analysis of airport access mode choice: a case study in Hong Kong. Journal of the Eastern Asia Society for Transportation Studies Vol. 6 708 - 723.
3. Mandle P.B. Mansel D.M. & Coogan M.A. (2000). Use of public transportation by airport passengers. Transportation Research 1703 83-89.
4. Foote P.J. LaBelle S.J. & Stuart D.G. (2007). Increasing rail transit access to airports in Chicago. Transportation Research Record: Journal of the Transportation Research Board 1600 1-9.
5. Caves R.E. Ndoh N.N. & Pitfield D.E. (1991). Route choice modelling applied to the choice between mature airports and emergent airports in their shadow. The 31st RSA European Congress 1991.
6. Psaraki V. & Abacoumkin C. (2002). Access mode choice for relocated airports: the new Athens International Airport. Journal of Air Transport Management Vol. 8 89-98.
7. Jou R.C. Hensher D.A & Hsu T.L. (2011). Airport ground access mode choice behavior after the introduction of a new mode: a case study of Taoyuan International Airport in Taiwan. Transportation Research Part E: Logistics and Transportation Review 47 371-381.
8. Tam M.L. Lam W.H.K & Lo H.P. (2011). The impact of travel time reliability and perceived service quality on airport ground access mode choice. Journal of Choice Modeling 4 49-69.
9. Tsamboulas D.A. & Nikoleris A. (2013). Passengers’ willingness to pay for airport ground access time savings. Transportation Research Part A: Policy and Practice 42 1274-1282.
10. Acar G. (2013). Ground access to airports case study: Port Columbus International Airport. Journal of Air Transport Management 30 25-31.
11. Whitley A. (2015). Using statistical learning to predict survival of passengers on the RMS Titanic. Kansas: Kansas State University Manhattan.
12. Breiman L. Friedman J.H. Olshen R.A. & Stone C.J. (1993). Classification and Regression Trees. Chapman and Hall 1993.
13. Gatnar E. (2001). Nieparametryczna metoda dyskryminacji i regresji. PWN Warszawa.
14. Łapczyński M. (2002). Przyczynowa interpretacja drzew klasyfikacyjnych. Zależności przyczynowo-skutkowe w badaniach rynkowych i marketingowych ed. Mynarski S. Economic University in Cracow. 47-60.