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Household Mobility Tool Ownership: Modeling Interactions between Cars and Season Tickets

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  • Darren Scott
  • Kay Axhausen

Abstract

This paper moves beyond traditional models of car ownership in that we propose a framework for modeling household-level decisions to acquire specific types and numbers of mobility tools to fulfill the mobility needs of household members. The framework is applied to a data set collected during the winter and spring of 2000/2001 in the German city Karlsruhe via an interactive web-based stated response survey in which respondents could optimize their household mobility tool sets through on-line feedback concerning the estimated costs of the sets. In our analysis, bivariate ordered probit models are estimated for three combinations of mobility tools: season tickets (i.e., transit passes) and cars, season tickets and small cars and season tickets and large cars. In all instances, strong substitution effects are found – that is, as the number of season tickets increases, the number of cars decreases. This finding underscores the need to move beyond simple models of car ownership to comprehensive models of mobility tool ownership. As demonstrated by our research, failure to do so is likely to lead to biased results. Copyright Springer 2006

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  • 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.
  • Handle: RePEc:kap:transp:v:33:y:2006:i:4:p:311-328
    DOI: 10.1007/s11116-005-0328-7
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    References listed on IDEAS

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    1. Alois Stutzer & Bruno S. Frey, 2008. "Stress that Doesn't Pay: The Commuting Paradox," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(2), pages 339-366, June.
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    2. Groth, Sören, 2019. "Multimodal divide: Reproduction of transport poverty in smart mobility trends," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 56-71.
    3. Melinda Matyas & Maria Kamargianni, 2019. "The potential of mobility as a service bundles as a mobility management tool," Transportation, Springer, vol. 46(5), pages 1951-1968, October.
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    5. Hansen, Stine & Newbold, K. Bruce & Scott, Darren M. & Vrkljan, Brenda & Grenier, Amanda, 2020. "To drive or not to drive: Driving cessation amongst older adults in rural and small towns in Canada," Journal of Transport Geography, Elsevier, vol. 86(C).
    6. Melinda Matyas & Maria Kamargianni, 2019. "Survey design for exploring demand for Mobility as a Service plans," Transportation, Springer, vol. 46(5), pages 1525-1558, October.
    7. 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.
    8. Habib, Khandker Nurul & Weiss, Adam & Hasnine, Sami, 2018. "On the heterogeneity and substitution patterns in mobility tool ownership choices of post-secondary students: The case of Toronto," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 650-665.
    9. 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.
    10. Md Moniruzzaman & Antonio Páez & Darren Scott & Catherine Morency, 2015. "Trip Generation of Seniors and the Geography of Walking in Montreal," Environment and Planning A, , vol. 47(4), pages 957-976, April.
    11. Bliemer, Michiel C.J. & Rose, John M., 2011. "Experimental design influences on stated choice outputs: An empirical study in air travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 63-79, January.
    12. De Santis, Mariana & Caggia, Mauricio, 2017. "Preferencias por la distribución del ingreso. Un análisis empírico para Argentina entre 1995 y 2012 [Preferences for the distribution of income. An empirical analisys for Argentina between 1995 and," MPRA Paper 96579, University Library of Munich, Germany.
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    14. Ho, Chinh Q. & Hensher, David A. & Mulley, Corinne & Wong, Yale Z., 2018. "Potential uptake and willingness-to-pay for Mobility as a Service (MaaS): A stated choice study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 302-318.
    15. Daniel Newman & Peter Wells & Ceri Donovan & Paul Nieuwenhuis & Huw Davies, 2014. "Urban, sub-urban or rural: where is the best place for electric vehicles?," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 14(3/4), pages 306-323.
    16. Potoglou, Dimitris & Kanaroglou, Pavlos S., 2008. "Modelling car ownership in urban areas: a case study of Hamilton, Canada," Journal of Transport Geography, Elsevier, vol. 16(1), pages 42-54.
    17. Vidyattama, Yogi & Tanton, Robert & Nakanishi, Hitomi, 2021. "Investigating Australian households’ vehicle ownership and its relationship with emission tax policy options," Transport Policy, Elsevier, vol. 114(C), pages 196-205.
    18. Konstadinos G. Goulias & Ram M. Pendyala, 2014. "Choice context," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 5, pages 101-130, Edward Elgar Publishing.
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    20. William H. Greene & David A. Hensher, 2008. "Modeling Ordered Choices: A Primer and Recent Developments," Working Papers 08-26, New York University, Leonard N. Stern School of Business, Department of Economics.

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