The assessment of attitudes toward various attributes of urban transport alternatives is of interest because of (a) the relation between personal behavior toward transport systems and the perceptions and preferences of individuals toward attributes of the alternatives, (b) the possibility of developing policy-sensitive prediction models, and (c) the compatibility of output from attitude research with ongoing disaggregate behavioral model development. The current investigation applies all individual-differences scaling model to a set of preceptual similarity judgments of an automated urban transportation system to find groups of respondents with a homogeneous viewpoint. The perceptions of 7 distinct groups of respondents were represented by Euclidean distance models. The points of view of the different groups could be identified both by the number of dimensions and the relative position of attributes for their corresponding spaces. Across the axes of the perceptual spaces for the 7 groups, 3 major classes of attributes could be defined: basic transport service, personal luxury service, and general amenities. Satisfactions with modes of a proposed urban transportation system could be predicted from the projections of the attributes on the axes of the spaces, and in addition the particular classes of attributes that differentially contributed to satisfaction with a given mode could be determined. Finally, the potential contribution of the technique for evaluating impact models was demonstrated by the investigator, which indicated those activity pattern and socioeconomic variables that were not uniformerly distributed across the 7 homogeneous perceptual groups.

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 1-15
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00097290
  • Record Type: Publication
  • ISBN: 0309023742
  • Files: TRIS, TRB
  • Created Date: Jul 29 1981 12:00AM