MULTI-VARIABLE MODELS OF CAR OWNERSHIP

This paper reports two modelling exercises which used individual household choice models to investigate the effects of various household characteristics and public transport factors on car ownership levels within the broad constraints of conventional cross-sectional analysis. The data used to estimate the models were collected as disaggregate travel demand modelling data sets, using direct interview techniques, and comprised the results of 2253 interviews in Canberra in 1975 (a city of high affluence and car ownership) and 4400 interviews in Adelaide in 1977 (a less homogeneous, less affluent population than Canberra). Analysis results are presented in tabulated form and discussed in relation to the variables introduced into the models such as household, trip, personal and locational characteristics. The performance of the Canberra and Adelaide models is compared, and it was found, for example, that household structure variables (size, workers) have a highly significant effect on car ownership. The conclusions drawn from this study include the suggestion that multi-variable models yield much better explanations of the factors affecting car ownership choices than do simple income-based models. (TRRL)

  • Availability:
  • Corporate Authors:

    Printerhall Limited

    29 Newmart Street
    London W1P 3PE,   England 
  • Authors:
    • Hutchinson, M J
  • Publication Date: 1979-8-9

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Filing Info

  • Accession Number: 00310277
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • Files: ITRD, TRIS, ATRI
  • Created Date: Oct 27 1981 12:00AM