An Application of Attitudinal Structural Equation Modeling to Intercity Transportation Market Segmentation

Travel behavior information is valuable to transportation policymakers, planners, and service providers. While aggregate data is helpful, segmenting a market into smaller groups allows for more targeted planning, promotion, operation, and evaluation. In this study, intercity market segments based on traveler attitudes are identified using Structural Equation Modeling (SEM). The study focuses on rural and small urban areas, using survey data for residents of North Dakota and northwest Minnesota. Attitudes toward travel time, flexibility, and privacy are found to have the strongest explanatory power. The socioeconomic profile of each market segment is identified. Individuals living in the study’s upper Midwest market area are assigned to market segments based on their socioeconomic characteristics to determine market segment size. Mode shares for automobile, air, intercity bus, intercity rail, and van service are estimated for each market segment under varying conditions.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AR010 Intercity Passenger Rail
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Ripplinger, David
    • Mattson, Jeremy
    • Peterson, Del
  • Conference:
  • Date: 2012

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 17p
  • Monograph Title: TRB 91st Annual Meeting Compendium of Papers DVD

Subject/Index Terms

Filing Info

  • Accession Number: 01373442
  • Record Type: Publication
  • Report/Paper Numbers: 12-0957
  • Files: TRIS, TRB
  • Created Date: Jun 22 2012 1:13PM