FACTOR ANALYSIS FOR THE STUDY OF DETERMINANTS OF PUBLIC TRANSIT RIDERSHIP

Behavioral studies based on attitude survey questionnaires with numerous variables may be tainted with repetitions and correlations. To overcome these deficiencies, a factor analysis approach is demonstrated that produces clusters of uncorrelated factors. From 47 observable variables contained in the Ottawa-Carleton Transportation Commission (OC Transpo) attitude survey, only 8 underlying factors have emerged. Bus information service is the most important factor. In addition to factor analysis, this article reports on a logistic regression model, based on key factors, for estimating the odds of ridership.

• Record URL:
  https://doi.org/10.5038/2375-0901.3.3.1
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/30755822
• Corporate Authors:

  University of South Florida, Tampa

  Center for Urban Transportation Research, 4202 East Fowler Avenue
  Tampa, FL  United States  33620-5375
• Authors:
  • Syed, Sharfuddin J
  • Khan, Ata M
• Publication Date: 2000

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 1-17
• Serial:
  • Journal of Public Transportation
  • Volume: 3
  • Issue Number: 3
  • Publisher: University of South Florida, Tampa
  • ISSN: 1077-291X
  • EISSN: 2375-0901
  • Serial URL: http://scholarcommons.usf.edu/jpt/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Attitudes; Behavior; Factor analysis; Information services; Logistics; Public transit; Regression analysis; Ridership
• Subject Areas: Data and Information Technology; Freight Transportation; Planning and Forecasting; Public Transportation; Society;

Filing Info

• Accession Number: 00805026
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Jan 10 2001 12:00AM