Market Segmentation of Long-Haul Flights under High-Speed Railway Competitive Conditions

With the rapid development of high-speed railway, civil aviation transportation has received a huge impact. Based on the customer delivered value theory, this paper discusses the basis for passengers to choose the transportation and the method to calculate the total passenger travel cost. In addition, it also deduces the formula to calculate the monthly income from critical passengers. Using the Beijing-Guangzhou flight route as an example, and according to various parameters when passengers choose air travel and high-speed rail travel under different circumstances, this dissertation calculates the monthly income of critical passengers from different levels. Finally, based on the monthly income of critical passengers, it subdivides the Beijing-Guangzhou passenger market into four segments.

• Record URL:
  • https://doi.org/10.1061/9780784413753.091
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784413753
• Supplemental Notes:
  • © 2014 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Zhang, Jinsong
  • Jiang, Bo
  • Yang, Xiao
• Conference:
  • 2014 International Conference of Logistics Engineering and Management (ICLEM)
  • Location: Shanghai , China
  • Date: 2014-10-9 to 2014-10-11
• Publication Date: 2014-9

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 594-600
• Monograph Title: ICLEM 2014: System Planning, Supply Chain Management, and Safety

Subject/Index Terms

• TRT Terms: Case studies; Civil aviation; High speed rail; Income; Market segmented groups; Passenger transportation; Travel costs
• Geographic Terms: Beijing (China); Guangzhou (China)
• Subject Areas: Aviation; Economics; Passenger Transportation; Railroads; I10: Economics and Administration; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01540952
• Record Type: Publication
• ISBN: 9780784413753
• Files: TRIS, ASCE
• Created Date: Oct 15 2014 12:01PM