Advance purchase behaviors of air passengers: A continuous logit model

Modeling the advance purchase behaviors of air passengers is essential when airlines develop revenue management strategies. Therefore, this study empirically investigates advance purchase behaviors based on the air ticket transaction data by using a continuous logit model. The estimation results show that advance purchase behaviors are significantly affected by price, price uncertainty, time of day (morning, afternoon and evening flight), days of week (flight on Friday), months of year (peak or off-peak seasons), and consecutive holiday. Accordingly, different pricing strategies should be used for different flights to maximize revenue.

• Record URL:
  https://doi.org/10.1016/j.tre.2016.07.001
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1366554516300898
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Chiou, Yu-Chiun
  • Liu, Chia-Hsin
• Publication Date: 2016-9

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 474-484
• Serial:
  • Transportation Research Part E: Logistics and Transportation Review
  • Volume: 93
  • Publisher: Elsevier
  • ISSN: 1366-5545
  • Serial URL: http://www.sciencedirect.com/science/journal/13665545

Subject/Index Terms

• TRT Terms: Air travel; Logits; Passengers; Pricing; Revenues; Travel behavior
• Uncontrolled Terms: Advance purchase tickets
• Subject Areas: Aviation; Finance; Planning and Forecasting;

Filing Info

• Accession Number: 01611365
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 1 2016 2:35PM