Discovering patterns in traveler behaviour using segmentation

Aditya Kothari, Manini Madireddy and Ramasubramanian Sundararajan ()
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Aditya Kothari: Ather Energy
Manini Madireddy: Sabre Airline Solutions
Ramasubramanian Sundararajan: Sabre Airline Solutions

Journal of Revenue and Pricing Management, 2016, vol. 15, issue 5, No 3, 334-351

Abstract: Abstract We consider the problem of finding common behavioral patterns among travelers in an airline network through the process of clustering. Travelers can be characterized at relational or transactional level. In this article, we focus on the transactional level characterization; our unit of analysis is a single trip, rather than a customer relationship comprising multiple trips. We begin by characterizing a trip in terms of a number of features that pertain to the booking and travel behavior. Trips thus characterized are then grouped using an ensemble clustering algorithm that aims to find stable clusters as well as discover subgroup structures within groups. A multidimensional analysis of trips based on these groupings leads us to discover non-trivial patterns in traveler behaviour that can then be exploited for better revenue management.

Keywords: segmentation; data mining; clustering (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (5)

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DOI: 10.1057/rpm.2016.33

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