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Intraregionale Unterschiede in der Carsharing-Nachfrage - eine GIS-basierte empirische Analyse

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Abstract

Carsharing has been growing significantly throughout the last years. However, the density of regional supply largely differs between urban and rural regions, between cities and also within cities and regions. Particularly the question of intraregional differences in the demand for carsharing is only sporadically researched so far. The present contribution thus addresses the question which factors determine the demand for carsharing on the subregional level of urban quarters. Grounded on a geographic information system (GIS) and comprehensive empirical data from the city of Tübingen, Germany, we explain the demand for carsharing taking into account different socio-demographic and structural factors. The paper shows that social characteristics of the population, particularly age and attitudes, are import determinants of the observable regional differences. Factors of a more structural nature, e.g. the diversity of land utilization or an environment favoring bicycles or pedestrians, which have been emphasized in the extant literature, are less influential in our models.

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  • Andreas Braun & Volker Hochschild & Andreas Koch, 2013. "Intraregionale Unterschiede in der Carsharing-Nachfrage - eine GIS-basierte empirische Analyse," IAW Discussion Papers 99, Institut für Angewandte Wirtschaftsforschung (IAW).
    • Handle: RePEc:iaw:iawdip:99
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    File URL: http://www.iaw.edu/RePEc/iaw/pdf/iaw_dp_99.pdf
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    References listed on IDEAS

    as
    1. Franke, Sassa, 2001. "Car sharing: vom Ökoprojekt zur Dienstleistung," EconStor Books, ZBW - Leibniz Information Centre for Economics, number 122926, July.
    2. Stillwater, Tai & Mokhtarian, Patricia L & Shaheen, Susan A, 2009. "Carsharing and the Built Environment," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6dw9d79z, Institute of Transportation Studies, UC Berkeley.
    3. Schwanen, Tim & Mokhtarian, Patricia L., 2005. "What Affects Commute Mode Choice: Neighborhood Physical Structure or Preferences Toward Neighborhoods?," University of California Transportation Center, Working Papers qt4nq9r1c9, University of California Transportation Center.
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    More about this item

    Keywords

    Carsharing; GIS; Regional Development; Mobility; Multiple Regression;
    All these keywords.

    JEL classification:

    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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