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Processing passengers efficiently: An analysis of airport processing times for international passengers

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  • Pitchforth, Jegar
  • Wu, Paul
  • Fookes, Clinton
  • Mengersen, Kerrie

Abstract

With immense and growing pressure on stakeholders in international airport terminals to process passengers faster than previously, there is a great benefit to understanding which factors affect passenger processing times and in which situations. In addition, storing and analysing the collected data in batch is itself a difficult and time consuming task that could be made much simpler with sequential analysis. We aim to present a method for airport managers to discover which variables are important to understanding passenger processing times and identifying problematic passenger profiles without the need for high computational capacity and full historical datasets.

Suggested Citation

  • Pitchforth, Jegar & Wu, Paul & Fookes, Clinton & Mengersen, Kerrie, 2015. "Processing passengers efficiently: An analysis of airport processing times for international passengers," Journal of Air Transport Management, Elsevier, vol. 49(C), pages 35-45.
    • Handle: RePEc:eee:jaitra:v:49:y:2015:i:c:p:35-45
    DOI: 10.1016/j.jairtraman.2015.06.016
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    References listed on IDEAS

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    1. Hadfield, Jarrod D., 2010. "MCMC Methods for Multi-Response Generalized Linear Mixed Models: The MCMCglmm R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i02).
    2. Ronald R. Gilliam, 1979. "An Application of Queueing Theory to Airport Passenger Security Screening," Interfaces, INFORMS, vol. 9(4), pages 117-123, August.
    3. Brunetta, Lorenzo & Righi, Luca & Andreatta, Giovanni, 1999. "An operations research model for the evaluation of an airport terminal: SLAM (simple landside aggregate model)," Journal of Air Transport Management, Elsevier, vol. 5(3), pages 161-175.
    4. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
    5. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    6. Merkert, Rico & Ploix, Boris, 2014. "The impact of terminal re-organisation on belly-hold freight operation chains at airports," Journal of Air Transport Management, Elsevier, vol. 36(C), pages 78-84.
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    Cited by:

    1. Rodríguez-Sanz, à lvaro & Fernández de Marcos, Alberto & Pérez-Castán, Javier A. & Comendador, Fernando Gómez & Arnaldo Valdés, Rosa & París Loreiro, à ngel, 2021. "Queue behavioural patterns for passengers at airport terminals: A machine learning approach," Journal of Air Transport Management, Elsevier, vol. 90(C).
    2. Y. X. Lee & Z. W. Zhong, 2016. "A study of the relationship between adverse weather conditions and flight delay," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 2(4), pages 112-117.
    3. Li, Yongli & Gao, Xin & Xu, Zhiwei & Zhou, Xuanrui, 2018. "Network-based queuing model for simulating passenger throughput at an airport security checkpoint," Journal of Air Transport Management, Elsevier, vol. 66(C), pages 13-24.

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