Modeling competition among airline itineraries

Discrete choice models are commonly used to forecast the probability an airline passenger chooses a specific itinerary. In a prior study, the authors estimated an itinerary choice model based on a multinomial logit specification that corrected for price endogeneity. In this paper, the authors extend the analysis to include inter-itinerary competition along three dimensions: nonstop versus connecting level of service, carrier, and time of day using nested logit (NL) and ordered generalized extreme value (OGEV) models. To the best of the authors' knowledge, these are the first NL and OGEV itinerary choice models to correct for price endogeneity. Despite the many structural changes that have occurred in the airline industry, the authors' results are strikingly similar to models estimated more than a decade ago. These results are important because it suggests that customer preferences, on average, have been stable over time and are similar across distribution channels. The stability in inter-itinerary competition patterns provides an important practical implication for airlines, namely it reduces the need to frequently update the parameter estimates for these models.

• Record URL:
  • https://doi.org/10.1016/j.tra.2018.04.001
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0965856417303543
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09658564
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Lurkin, Virginie
  • Garrow, Laurie A
  • Higgins, Matthew J
  • Newman, Jeffrey P
  • Schyns, Michael
• Publication Date: 2018-7

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 157-172
• Serial:
  • Transportation Research Part A: Policy and Practice
  • Volume: 113
  • Publisher: Elsevier
  • ISSN: 0965-8564
  • Serial URL: http://www.sciencedirect.com/science/journal/09658564

Subject/Index Terms

• TRT Terms: Air travel; Airlines; Behavior; Competition; Itinerary; Multinomial logits; Passengers
• Subject Areas: Administration and Management; Aviation; Passenger Transportation; Planning and Forecasting;

Filing Info

• Accession Number: 01673534
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 25 2018 5:18PM