Traditional travel demand models are aggregate models in which the dependent variable is a group of observations, whereas in a disaggregate model it represents a single observation. Many of the problems associated with aggregate models can be avoided through the use of disaggregate models, but there is no certainty that all the relationships given in a disaggregate model are either causal or behavioural. The real quality of a model is ultimately dependent on the knowledge and experience of the model-builder and his understanding of behaviour in travel choice situations. People usually make their travel decisions on the basis of perceived values and attitudes, and not simply the independent variables traditionally utilised in travel demand models. The use of perceived values and attitudes in aggregate models is difficult since they are individual valuations and average, zonal, values are of little additional value over conventional objective variables and values. In disaggregate models, however, perceived values can be used as readily as objective values. Since disaggregate models make more efficient use of data than aggregate models, and because each individual observation is independently used, far fewer observations are required for their development. The multinomial logit model is the most widely used form of disaggregate model. /TRRL/

  • Availability:
  • Corporate Authors:

    Royal Dutch Touring Club ANWB

    Wassenaarseweg 220, P.O. Box 93200
    The Hague,   Netherlands 
  • Authors:
    • Richards, M G
  • Publication Date: 1976-3-4


  • Dutch

Media Info

  • Features: Figures; References; Tables;
  • Pagination: 6 p.
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00142736
  • Record Type: Publication
  • Source Agency: Institute for Road Safety Research, SWOV
  • Report/Paper Numbers: Analytic
  • Files: ITRD, TRIS
  • Created Date: Aug 4 1977 12:00AM