Predictive Methods for Using Capacity Data to Estimate Market Shares and the Extent of Risk Pooling by Airline Alliance Partners under Parallel Codesharing

With the growth of strategic alliances in the airline industry, codesharing has risen dramatically in recent years. Under parallel codesharing, two partners use their two-letter designator on a partner’s flight to produce the equivalent of a online connection, which produces a more favorable display in the computer booking system and treats the passenger as a through customer in terms of ticketing and baggage handling. When both partners operate flights simultaneously on the same route, this is known as parallel codesharing. This analysis looks at the inter-relationship between market share and capacity under four different cases of demand/supply allocations between two partners. Risk pooling is a common outcome. Some routes provide uneven opportunities for spreading risk between partners, however. The method developed here is proposed for additional uses, including calculating gain-sharing, revising agreements and fine-tuning other sharing arrangements.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1588960
• Authors:
  • Chen, Chialin
  • Ren, Yu
• Publication Date: 2007

Language

• English

Media Info

• Media Type: Print
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 21-35
• Serial:
  • Transportation Journal
  • Volume: 46
  • Issue Number: 4
  • Publisher: American Society of Transportation and Logistics
  • ISSN: 0041-1612
  • Serial URL: https://scholarlypublishingcollective.org/psup/transportation-journal

Subject/Index Terms

• TRT Terms: Airlines; Code sharing; Market share; Mathematical models; Risk management; Strategic alliances
• Subject Areas: Aviation; Economics;

Filing Info

• Accession Number: 01082238
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: BTRIS, TRIS
• Created Date: Nov 30 2007 7:25AM