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

Author

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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    References listed on IDEAS

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    1. Kenneth Train, 1980. "A Structured Logit Model of Auto Ownership and Mode Choice," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(2), pages 357-370.
    2. Cristian Domarchi & Alejandro Tudela & Angélica González, 2008. "Effect of attitudes, habit and affective appraisal on mode choice: an application to university workers," Transportation, Springer, vol. 35(5), pages 585-599, August.
    3. Abbe, E. & Bierlaire, M. & Toledo, T., 2007. "Normalization and correlation of cross-nested logit models," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 795-808, August.
    4. Yuhong Yang, 2005. "Can the strengths of AIC and BIC be shared? A conflict between model indentification and regression estimation," Biometrika, Biometrika Trust, vol. 92(4), pages 937-950, December.
    5. Ennio Cascetta, 2009. "Transportation Systems Analysis," Springer Optimization and Its Applications, Springer, number 978-0-387-75857-2, June.
    6. Dissanayake, Dilum & Morikawa, Takayuki, 2010. "Investigating household vehicle ownership, mode choice and trip sharing decisions using a combined revealed preference/stated preference Nested Logit model: case study in Bangkok Metropolitan Region," Journal of Transport Geography, Elsevier, vol. 18(3), pages 402-410.
    7. Christopher Zegras, 2010. "The Built Environment and Motor Vehicle Ownership and Use: Evidence from Santiago de Chile," Urban Studies, Urban Studies Journal Limited, vol. 47(8), pages 1793-1817, July.
    8. Bhat, Chandra R. & Guo, Jessica Y., 2007. "A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels," Transportation Research Part B: Methodological, Elsevier, vol. 41(5), pages 506-526, June.
    9. Baltas, George & Saridakis, Charalampos, 2013. "An empirical investigation of the impact of behavioural and psychographic consumer characteristics on car preferences: An integrated model of car type choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 92-110.
    10. Le Vine, Scott & Lee-Gosselin, Martin & Sivakumar, Aruna & Polak, John, 2013. "A new concept of accessibility to personal activities: development of theory and application to an empirical study of mobility resource holdings," Journal of Transport Geography, Elsevier, vol. 31(C), pages 1-10.
    11. Vij, Akshay, 2013. "Incorporating the Influence of Latent Modal Preferences in Travel Demand Models," University of California Transportation Center, Working Papers qt7nq9p0cv, University of California Transportation Center.
    12. Susan Handy & Yan Xing & Theodore Buehler, 2010. "Factors associated with bicycle ownership and use: a study of six small U.S. cities," Transportation, Springer, vol. 37(6), pages 967-985, November.
    13. Václav Plevka & Pieter Segaert & Chris M. J. Tampère & Mia Hubert, 2016. "Analysis of travel activity determinants using robust statistics," Transportation, Springer, vol. 43(6), pages 979-996, November.
    14. Vij, Akshay, 2013. "Incorporating the Influence of Latent Modal Preferences in Travel Demand Models," University of California Transportation Center, Working Papers qt7ng2z24q, University of California Transportation Center.
    15. Darren Scott & Kay Axhausen, 2006. "Household Mobility Tool Ownership: Modeling Interactions between Cars and Season Tickets," Transportation, Springer, vol. 33(4), pages 311-328, July.
    16. Vij, Akshay & Carrel, André & Walker, Joan L., 2013. "Incorporating the influence of latent modal preferences on travel mode choice behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 164-178.
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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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