An analysis of destination choice for opaque airline products using multidimensional binary logit models

Misuk Lee, Alexandre Khelifa, Laurie A. Garrow, Michel Bierlaire and David Post

Transportation Research Part A: Policy and Practice, 2012, vol. 46, issue 10, 1641-1653

Abstract: We investigate how customers respond to an opaque airline product offered by a European carrier. In this opaque product design, customers are randomly assigned to travel to one of approximately ten destinations; however, for a fee they may exclude one or more destinations from the choice set (or a particular package design) prior to learning which destination they will travel to. We use a multidimensional binary logit model to predict the probability that one or more alternatives will be chosen by a customer. Results show that customers are more likely to pay to exclude destinations located close to the origin airport and destinations that speak the same language as the origin airport. Length of stay, cost of living at the destination, and measures of destination attractiveness are also found to be significant predictors for some package designs. Based on these findings, we offer general recommendations for how to design opaque packages for airline customers.

Keywords: Opaque products; Discrete choice models; Airline passenger behavior (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (4)

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DOI: 10.1016/j.tra.2012.08.009

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