Attitudinal data obtained from an impact travel survey of the San Francisco area was analyzed to determine the composition of generalized attributes that identify an individual's cognitive structure of shopping behavior. Once it was determined (by employing two measures of factorability) that factor analysis was an appropriate analytical tool, the data (stratified by residence and trip destination) were factor analyzed. The results indicate that each population's cognitive structure is unique, although in all cases a common set of generalized attributes was found to be important. For the respective populations, an index of satisfaction was developed for each of the generalized attributes. The index was used to investigate the relation between a population's cognitive structure and its socioeconomic profile. Based on tests of independence and gamma measures of association, the following attributes were significantly related to a population's satisfaction relative to alternative attributes of the shopping excursion: travel, mode, length of residence at current address, and age distribution. Among the implications of the analysis is that a set of attributes exists, independent of residence or trip destination, that should be incorporated into travel-demand models if shopping travel behavior is to be forecast accurately. Moreover, the extent of travel incurred in a shopping journey appears to significantly affect an individual's attitude structure of shopping activities. (Author)

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 82-89
  • Monograph Title: Passenger travel forecasting
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00310709
  • Record Type: Publication
  • ISBN: 0309029813
  • Files: TRIS, TRB
  • Created Date: May 21 1981 12:00AM