THE USE OF CONFOUNDING AND REPEATED MEASUREMENT ANALYSIS TO INCREASE THE SENSITIVITY OF STATED PREFERENCE EXPERIMENTS . TRAVEL BEHAVIOR RESEARCH. 5TH INTERNATIONAL CONFERENCE ON TRAVEL BEHAVIOR

This paper presents statistical techniques for handling multiple choice situations in experiments, while maintaining a high level of precision and sensitivity; it also reports on the results of applying these methods in a survey of the factors determining airport choice in The Netherlands. Factorial designs with fractional replication or confounding can be used to reduce the number of choice situations to be presented to a respondent; both these techniques depend on the idea that certain comparisons are relatively unimportant. The respondents' judgements in experimental choice situations can be quantified in two ways: (1) by ranking the different choice situations; (2) by rating these situations. The use of rating scales is preferred for several reasons. The airport choice survey included three independent studies, one for each of the following market segments: (1) business travellers using scheduled flights; (2) non-business travellers using scheduled flights; (3) non-business travellers using charter flights. The airport characteristics investigated for the business travellers were: (1) type of aircraft; (2) transaction time at the airport; (3) flight frequency. The results of the study will be reported in detail elsewhere. (TRRL)

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/0566070626
• Corporate Authors:

  Gower Publishing

  Brookfield, VT  United States 
• Authors:
  • Zondag, E R
  • JETTEN, J T
  • Van RENS, JHP
• Publication Date: 1989

Language

• English

Media Info

• Features: References;
• Pagination: p. 266-280
• Serial:
  • Publication of: Gower Publishing Company Limited
  • Publisher: Gower Publishing

Subject/Index Terms

• TRT Terms: Air pollution; Choice models; Conferences; Statistics; Travel behavior
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 00612407
• Record Type: Publication
• Source Agency: Transport and Road Research Laboratory (TRRL)
• ISBN: 0-566-07062-6
• Files: ITRD, TRIS
• Created Date: Aug 31 1991 12:00AM