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Exploring characteristics of airport access mode choice: a case study of Korea

Author

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  • Sangho Choo
  • Soyoung (Iris) You
  • Hyangsook Lee

Abstract

This paper explores air passengers' behavior of airport access mode choice and develops airport access mode choice models for two major domestic airports in Korea, Gimpo Airport and Daegu Airport. First, descriptive analyses are conducted to identify whether the key explanatory variables such as trip purpose, travel time, and travel cost are statistically different among airport access modes. Second, logistic regression models are proposed for three types of airport access mode choices: auto and public transit, auto and bus, and auto and subway. The model results indicate that the choice of airport access mode is significantly affected by travel characteristics and sociodemographic variables. This study also estimates access mode choice models for business and nonbusiness travel, indicating that access mode choice is significantly more affected by demographic characteristics of nonbusiness travel air passengers than those for business travel passengers.

Suggested Citation

  • Sangho Choo & Soyoung (Iris) You & Hyangsook Lee, 2013. "Exploring characteristics of airport access mode choice: a case study of Korea," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(4), pages 335-351, June.
    • Handle: RePEc:taf:transp:v:36:y:2013:i:4:p:335-351
    DOI: 10.1080/03081060.2013.798484
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    Citations

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    Cited by:

    1. 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.
    2. Chung, Yi-Shih & Ku, Ya-Han, 2023. "Effect of time stress and store visibility on the dynamics of passenger activity choices at airport terminals based on indoor trajectory data," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    3. 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).
    4. Dariusz Tłoczyński & Agnieszka Szmelter-Jarosz & Sebastian Susmarski, 2022. "Analysis of Sustainable Transport Systems in Service of Selected SEA-EU Consortium Countries’ Airports—A Pilot Case Study of Passenger Choices for Gdańsk Airport," IJERPH, MDPI, vol. 19(2), pages 1-21, January.
    5. Yi-Shih Chung & Szu-Yu Tu, 2021. "Tri-reference-point hypothesis development for airport ground access behaviors," Transportation, Springer, vol. 48(5), pages 2159-2185, October.
    6. 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.
    7. 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.
    8. Yazdanpanah, Mahdi & Hosseinlou, Mansour Hadji, 2016. "The influence of personality traits on airport public transport access mode choice: A hybrid latent class choice modeling approach," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 147-163.
    9. 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.
    10. 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.

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