GENERALIZED ATTRIBUTE VARIABLE FOR MODELS OF MODE CHOICE BEHAVIOR

This paper discusses how abstract transportation system characteristics like convenience can be quantified by using psychometric scaling techniques and can be included as explanatory variables in models of travel demand behavior. A survey was conducted to collect time and cost information on alternative modes of transportation for the journey to work and attitude data on 14 attributes representing convenience. Importance scores were derived for the attributes by using the Thurstone scaling technique. A generalized convenience variable was constructed based on a linear combination of individual satisfaction ratings of the convenience attributes weighted by their derived importance scores. Models of mode choice behavior was calibrated by using a logit function that was estimated by a maximum likelihood procedure. Comparisons were made between models that used only time and cost variables and those that included the generalized convenience variable. The goodness of fit was significantly better with models that included the convenience variable than with models that were based strictly on time and cost variables. It was concluded that the generalized attribute approach is a feasible concept that can significantly improve the explanatory power of conventional models of travel behavior. /Author/

Media Info

  • Media Type: Print
  • Features: References; Tables;
  • Pagination: pp 6-11
  • Monograph Title: Perception and values in travel demand
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00145323
  • Record Type: Publication
  • ISBN: 0309025613
  • Files: TRIS, TRB
  • Created Date: Feb 16 1977 12:00AM