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Estimating hourly variations in passenger volume at airports using dwelling time distributions

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  • Kim, Wonkyu
  • Park, Yonghwa
  • Jong Kim, Byung

Abstract

A mathematical model using a probability density function of the terminal dwelling time distribution is developed to estimate the number of passengers arriving at an airport terminal at various times. A two-way ANOVA that tests the effects on different airports and access time durations were carried out, and the results showed a significant difference between terminal dwelling times among airports. The paper also provides some insight into airport terminal operation when there are significant changes to flight schedules and the introduction of new airlines, etc.

Suggested Citation

  • Kim, Wonkyu & Park, Yonghwa & Jong Kim, Byung, 2004. "Estimating hourly variations in passenger volume at airports using dwelling time distributions," Journal of Air Transport Management, Elsevier, vol. 10(6), pages 395-400.
    • Handle: RePEc:eee:jaitra:v:10:y:2004:i:6:p:395-400
    DOI: 10.1016/j.jairtraman.2004.06.009
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    References listed on IDEAS

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    1. Yonghwa Park & Seung B. Ahn, 2003. "Optimal assignment for check-in counters based on passenger arrival behaviour at an airport," Transportation Planning and Technology, Taylor & Francis Journals, vol. 26(5), pages 397-416, October.
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    Cited by:

    1. Wu, Paul Pao-Yen & Mengersen, Kerrie, 2013. "A review of models and model usage scenarios for an airport complex system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 47(C), pages 124-140.
    2. Warren Jochem & Kelly Sims & Edward Bright & Marie Urban & Amy Rose & Phillip Coleman & Budhendra Bhaduri, 2013. "Estimating traveler populations at airport and cruise terminals for population distribution and dynamics," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(3), pages 1325-1342, September.
    3. Kemppainen, Katariina & Nieminen, Jaakko & Vepsäläinen, Ari P.J., 2007. "Estimating the costs of airport congestion due to fast connections," Journal of Air Transport Management, Elsevier, vol. 13(4), pages 169-174.
    4. Yao, Haifang & Huang, Yingying & Liu, Jinsong, 2023. "Study on travel behavior characteristics of air passengers in an airport hinterland," Journal of Air Transport Management, Elsevier, vol. 112(C).
    5. Jianxin Lin & Rui Song & Jifeng Dai & Pengpeng Jiao, 2014. "Pedestrian Guiding Signs Optimization for Airport Terminal," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-14, February.

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