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Quantifying the explanatory power of mobility-related attributes in explaining vehicle ownership decisions

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Listed:
  • Astegiano, Paola
  • Akinc, Deniz
  • Himpe, Willem
  • Tampère, Chris M.J.
  • Vandebroek, Martina

Abstract

This paper shows the explanatory power of mobility-related attributes in explaining vehicle ownership decisions. In contrast with the state of the art, in which socio-demographic information is usually employed to explain vehicle ownership decisions, we highlight how the quality of travel offered by a given mode of transportation in serving one's activity pattern influences the ownership of a mode of transport. To implement this approach, we employ a two-level model: first, we estimate the mode choice for performing a set of activities, and second, we use the results of the mode choice calibration to estimate an ownership model. We also show the need to estimate this two-step model, originally modelled as a two-step multinomial logit, with more complex logit structures. With the aim to consider all possible correlations included in each step, a Mixed Logit model and a Cross-nested logit model are employed. Finally, the influence of the socio-demographic information on the quality of travel offered by a given transport mode in performing a particular activity is discussed.

Suggested Citation

  • Astegiano, Paola & Akinc, Deniz & Himpe, Willem & Tampère, Chris M.J. & Vandebroek, Martina, 2017. "Quantifying the explanatory power of mobility-related attributes in explaining vehicle ownership decisions," Research in Transportation Economics, Elsevier, vol. 66(C), pages 2-11.
    • Handle: RePEc:eee:retrec:v:66:y:2017:i:c:p:2-11
    DOI: 10.1016/j.retrec.2017.07.007
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    More about this item

    Keywords

    Mobility-related attributes; Vehicle ownership; Mode choice; Logit; Mixed logit; Cross-nested logit; Accessibility; Mobility resources; Travel needs; Discrete choice analysis; Activity pattern;
    All these keywords.

    JEL classification:

    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • R49 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Other

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