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

Jegar Pitchforth, Paul Wu, Clinton Fookes and Kerrie Mengersen

Journal of Air Transport Management, 2015, vol. 49, issue C, 35-45

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.

Keywords: Hierarchical regression; Airport; Regression tree; Inbound passenger processing; Bayesian learning (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jaitra:v:49:y:2015:i:c:p:35-45

DOI: 10.1016/j.jairtraman.2015.06.016

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