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Modelling car ownership in urban areas: a case study of Hamilton, Canada

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  • Potoglou, Dimitris
  • Kanaroglou, Pavlos S.

Abstract

This paper examines the influence of family structure, socio-economic characteristics and accessibility at the place of residence on the number of cars owned by a household. Special attention is given to the neighbourhood characteristics, which are quantified by introducing several measures of neighbourhood proximity to out-of-home amenities and land-use derived from fine-grained spatial data with the help of GIS. For the purposes of our analyses, we used micro-level data obtained through a recent Internet-survey that was conducted in the Census Metropolitan Area of Hamilton, Canada. We find that household life-cycle stage, socio-economic factors, mixed density at the traffic analysis zone level and land-use diversity within walking distance from the place of residence influence households’ decision on how many vehicles to own. The results can be used to advise the design of planning policies aiming at controlling the effects of excessive car ownership and mobility.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jotrge:v:16:y:2008:i:1:p:42-54
    DOI: 10.1016/j.jtrangeo.2007.01.006
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    References listed on IDEAS

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    1. Cervero, Robert, 1988. "Land-Use Mixing and Suburban Mobility," University of California Transportation Center, Working Papers qt9w56k7x8, University of California Transportation Center.
    2. 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.
    3. Hong Sok Kim & Eungcheol Kim, 2004. "Effects Of Public Transit On Automobile Ownership And Use In Households Of The Usa," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 16(3), pages 245-262, November.
    4. Genevieve Giuliano & Kenneth A. Small, 1993. "Is the Journey to Work Explained by Urban Structure?," Urban Studies, Urban Studies Journal Limited, vol. 30(9), pages 1485-1500, November.
    5. Bhat, Chandra R. & Pulugurta, Vamsi, 1998. "A comparison of two alternative behavioral choice mechanisms for household auto ownership decisions," Transportation Research Part B: Methodological, Elsevier, vol. 32(1), pages 61-75, January.
    6. Handy, Susan & Cao, Xinyu & Mokhtarian, Patricia L., 2005. "Correlation or causality between the built environment and travel behavior? Evidence from Northern California," University of California Transportation Center, Working Papers qt5b76c5kg, University of California Transportation Center.
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