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Mode choice behavior modeling of ground access to airports: A case study in Istanbul, Turkey

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  • Gokasar, Ilgin
  • Gunay, Gurkan

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.

Suggested Citation

  • Gokasar, Ilgin & Gunay, Gurkan, 2017. "Mode choice behavior modeling of ground access to airports: A case study in Istanbul, Turkey," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 1-7.
    • Handle: RePEc:eee:jaitra:v:59:y:2017:i:c:p:1-7
    DOI: 10.1016/j.jairtraman.2016.11.003
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    References listed on IDEAS

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    Cited by:

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    2. Kristoffersson, Ida & Berglund , Svante, 2020. "Modelling connection trips to long-distance travel : state-of-the-art and directions for future research," Papers 2020:5, Research Programme in Transport Economics.
    3. Zaidan, Esmat & Abulibdeh, Ammar, 2018. "Modeling ground access mode choice behavior for Hamad International Airport in the 2022 FIFA World Cup city, Doha, Qatar," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 32-45.
    4. Lu, Jing & Meng, Yucan & Timmermans, Harry & Zhang, Anming, 2021. "Modeling hesitancy in airport choice: A comparison of discrete choice and machine learning methods," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 230-250.
    5. Xiaoqian Sun & Sebastian Wandelt & Mark Hansen, 2020. "Airport Road Access at Planet Scale using Population Grid and Openstreetmap," Networks and Spatial Economics, Springer, vol. 20(1), pages 273-299, March.
    6. Gunay, Gurkan & Gokasar, Ilgin, 2021. "Market segmentation analysis for airport access mode choice modeling with mixed logit," Journal of Air Transport Management, Elsevier, vol. 91(C).
    7. Mengru Shao & Chao Chen & Qingchang Lu & Xinyu Zuo & Xueling Liu & Xiaoning Gu, 2023. "The Impacts of Low-Carbon Incentives and Carbon-Reduction Awareness on Airport Ground Access Mode Choice under Travel Time Uncertainty: A Hybrid CPT-MNL Model," Sustainability, MDPI, vol. 15(16), pages 1-18, August.
    8. Aleksandra Colovic & Salvatore Gabriele Pilone & Katarina Kukić & Milica Kalić & Slavica Dožić & Danica Babić & Michele Ottomanelli, 2022. "Airport Access Mode Choice: Analysis of Passengers’ Behavior in European Countries," Sustainability, MDPI, vol. 14(15), pages 1-23, July.
    9. Danwen Bao & Shijia Tian & Rui Li & Tianxuan Zhang & Ting Zhu, 2022. "Multi-Objective Decision Method for Airport Landside Rapid Transit Network Design," Networks and Spatial Economics, Springer, vol. 22(4), pages 767-801, December.
    10. Wang, Zi-Jia & Jia, Hui-Hui & Dai, Fangzhou & Diao, Mi, 2022. "Understanding the ground access and airport choice behavior of air passengers using transit payment transaction data," Transport Policy, Elsevier, vol. 127(C), pages 179-190.
    11. Wadud, Zia, 2020. "An examination of the effects of ride-hailing services on airport parking demand," Journal of Air Transport Management, Elsevier, vol. 84(C).

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