Clustering as an approach for creating data-driven perspectives on air travel itineraries

This paper proposes to create data-driven perspectives on airline ticketing data by defining groups of air travel itineraries independently of geographical or temporal attributes. We demonstrate the approach by analysing an extensive empirical data set featuring ticketing data from several carriers...

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Published in:Journal of revenue and pricing management 2022-04, Vol.21 (2), p.212-227
Main Authors: Vock, Sebastian, Garrow, Laurie A., Cleophas, Catherine
Format: Article
Language:English
Subjects:
Airline industry
Business and Management
Clustering
Research Article
Ticket sales
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description This paper proposes to create data-driven perspectives on airline ticketing data by defining groups of air travel itineraries independently of geographical or temporal attributes. We demonstrate the approach by analysing an extensive empirical data set featuring ticketing data from several carriers as collected by the Airlines Reporting Corporation. The analysis compares five cluster quality indicators to evaluate effects of pre-processing and clustering decisions. Benchmarking the results against a more traditional geographical grouping demonstrates the potential for data-driven analysis. Finally, we highlight ways in which the resulting cluster perspectives could support demand forecasting, performance evaluation, and analyst interventions.
doi_str_mv 10.1057/s41272-021-00323-0
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source ABI/INFORM Global (ProQuest); Springer Nature; Alma/SFX Local Collection
subjects Airline industry
Business and Management
Clustering
Research Article
Ticket sales
title Clustering as an approach for creating data-driven perspectives on air travel itineraries
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