Choice or Rank Data in Stated Preference Surveys?

Should researchers collect choice or rank data in stated preference (SP) surveys? Answer to this question can have significant implications on survey costs and modeling outputs available for policy analysis. In particular, the exploded rank multinomial logit model (MNL) is compared with the ordinary choice-based MNL model. Using the empirical SP rank data collected among the public light bus operators in Hong Kong, the selected modeling approaches are compared in terms of model assumptions, model fit, modeling outputs and policy implications. Besides, the reliability of the exploded rank data is tested. The mixed results suggest that extra care must be exercised in the design of SP ranking tasks.

• Record URL:
  • http://benthamopen.com/contents/pdf/TOTJ/TOTJ-2-74.pdf
• 
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18744478
• Authors:
  • Loo, Becky P Y
  • Wong, S C
  • Hau, Timothy D
• Publication Date: 2008

Language

• English

Media Info

• Media Type: Print
• Features: References; Tables;
• Pagination: pp 74-79
• Serial:
  • Open Transportation Journal
  • Volume: 2
  • Publisher: Bentham Science Publishers Limited
  • ISSN: 1874-4478
  • Serial URL: http://www.bentham.org/open/totj/openaccess2.htm

Subject/Index Terms

• TRT Terms: Bus drivers; Buses; Multinomial logits; Policy making; Ranking (Statistics); Reliability (Statistics); Research; Stated preferences; Surveys; Traffic data
• Uncontrolled Terms: Discrete choice
• Geographic Terms: Hong Kong (China)
• Subject Areas: Data and Information Technology; Policy; Public Transportation; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01139893
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 18 2009 7:08AM