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On the Link between Urban Form and Automobile Use - Evidence from German Survey Data

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  • Vance, Colin
  • Hedel, Ralf

Abstract

This study investigates the influence of urban form on automobile travel using travel-diary data from Germany. Two dimensions of car use are considered: the discrete decision to own a car and the continuous decision of distance traveled. Because these decisions are likely to be influenced by factors unobservable to the researcher, we apply censored regression models to evaluate the role of biases emerging from sample selectivity. Unlike much of the literature, we find that urban form variables are a significant determinant of both automobile ownership and use, a finding that holds even after using instrumental variables to control for endogeneity.

Suggested Citation

  • Vance, Colin & Hedel, Ralf, 2006. "On the Link between Urban Form and Automobile Use - Evidence from German Survey Data," RWI Discussion Papers 48, RWI - Leibniz-Institut für Wirtschaftsforschung.
  • Handle: RePEc:zbw:rwidps:48
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    References listed on IDEAS

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    Cited by:

    1. Stefan P.T. Groot & Henri L.F. de Groot & Paolo Veneri, 2012. "The Educational Bias in Commuting Patterns: Micro-Evidence for the Netherlands," Tinbergen Institute Discussion Papers 12-080/3, Tinbergen Institute.
    2. Morikawa, Masayuki, 2012. "Population density and efficiency in energy consumption: An empirical analysis of service establishments," Energy Economics, Elsevier, vol. 34(5), pages 1617-1622.
    3. Wu, JunJie & Segerson, Kathleen & Wang, Chunhua, 2023. "Is environmental regulation the answer to pollution problems in urbanizing economies?," Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
    4. Gianni Guastella & Stefano Pareglio & Paolo Sckokai, 2017. "A Spatial Econometric Analysis of Land Use Efficiency in Large and Small Municipalities," Working Papers 2017.03, Fondazione Eni Enrico Mattei.
    5. Keller, Rose & Vance, Colin, 2013. "Landscape pattern and car use: Linking household data with satellite imagery," Journal of Transport Geography, Elsevier, vol. 33(C), pages 250-257.
    6. José M. Casado-Díaz & Raquel Simón-Albert & Hipólito Simón, 2023. "Gender Differences in Commuting: New Evidence from Spain," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(3), pages 907-941, October.
    7. Næss, Petter, 2012. "Urban form and travel behavior: experience from a Nordic context," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 5(2), pages 21-45.
    8. Andrea CIRILLI & Paolo VENERI, 2010. "Spatial Structure and CO2 Emissions Due to Commuting: an Analysis on Italian Urban Areas," Working Papers 353, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    9. Manuel Baumann & Nuno Boavida & Maria João Maia & Patrick Lichtner & António Brandão Moniz, 2012. "Renewable Energy Systems: the theme for the PACITA summer school on TA, Liège, Belgium, 25 28 June 2012," Enterprise and Work Innovation Studies, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology, vol. 8(8), pages 95-101, November.

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    More about this item

    Keywords

    urban form; non-work automobile travel; sample selectivity; instrumental variables;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

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    1. Studies on the automobile industry

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