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Mobility Styles and Car Ownership—Potentials for a Sustainable Urban Transport

Author

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  • Miriam Magdolen

    (Institute for Transport Studies, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany)

  • Sascha von Behren

    (Institute for Transport Studies, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany)

  • Lukas Burger

    (Institute for Transport Studies, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany)

  • Bastian Chlond

    (Institute for Transport Studies, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany)

Abstract

Decision-makers in cities worldwide have the responsibility to contribute to the reduction of greenhouse gas emissions in urban transport. Therefore, effective measures and policies that allow for a change in people’s mobility towards sustainable mobility must be derived. To understand how different people respond to measures and policies, and to increase the effectiveness of such policies, individual mobility needs and mobility determinants have to be considered. For this, the definition of individual mobility styles as holistic descriptions considering travel behavior, attitudes, as well as life stages is useful. This study presents a segmentation approach that identifies eight urban mobility styles by using data from a multidimensional survey conducted in Berlin and San Francisco. We applied a cluster analysis with both behavioral and attitudinal characteristics as segmentation criteria. By analyzing the characteristics, we identified a mobility style—the Environmentally Oriented Multimodals—that is environmentally oriented, but not yet all people in this cluster are sustainable in their mobility. Thus, they are the group with the highest potential to accept and use sustainable mobility. Additionally, we found that within the Environmentally Oriented Multimodals, the change from one life stage to another is also likely to be accompanied by a car acquisition.

Suggested Citation

  • Miriam Magdolen & Sascha von Behren & Lukas Burger & Bastian Chlond, 2021. "Mobility Styles and Car Ownership—Potentials for a Sustainable Urban Transport," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2968-:d:513382
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    References listed on IDEAS

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    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Katarzyna Turoń & Andrzej Kubik & Feng Chen & Hualan Wang & Bogusław Łazarz, 2020. "A Holistic Approach to Electric Shared Mobility Systems Development—Modelling and Optimization Aspects," Energies, MDPI, vol. 13(21), pages 1-19, November.
    3. Prillwitz, Jan & Barr, Stewart, 2011. "Moving towards sustainability? Mobility styles, attitudes and individual travel behaviour," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1590-1600.
    4. Sascha von Behren & Lisa Bönisch & Ulrich Niklas & Bastian Chlond, 2020. "Revealing Motives for Car Use in Modern Cities—A Case Study from Berlin and San Francisco," Sustainability, MDPI, vol. 12(13), pages 1-18, June.
    5. Haustein, Sonja & Nielsen, Thomas A. Sick, 2016. "European mobility cultures: A survey-based cluster analysis across 28 European countries," Journal of Transport Geography, Elsevier, vol. 54(C), pages 173-180.
    6. Redmond, Lothlorien, 2000. "Identifying and Analyzing Travel-Related Attitudinal, Personality, and Lifestyle Clusters in the San Francisco Bay Area," Institute of Transportation Studies, Working Paper Series qt0317h7v4, Institute of Transportation Studies, UC Davis.
    7. Timo Ohnmacht & Konrad Götz & Helmut Schad, 2009. "Leisure mobility styles in Swiss conurbations: construction and empirical analysis," Transportation, Springer, vol. 36(2), pages 243-265, March.
    8. Anable, Jillian, 2005. "'Complacent Car Addicts' or 'Aspiring Environmentalists'? Identifying travel behaviour segments using attitude theory," Transport Policy, Elsevier, vol. 12(1), pages 65-78, January.
    9. Ryuichi Kitamura, 2009. "Life-style and travel demand," Transportation, Springer, vol. 36(6), pages 679-710, November.
    10. Eisenmann, Christine & Buehler, Ralph, 2018. "Are cars used differently in Germany than in California? Findings from annual car-use profiles," Journal of Transport Geography, Elsevier, vol. 69(C), pages 171-180.
    11. Tomasz Bieliński & Łukasz Dopierała & Maciej Tarkowski & Agnieszka Ważna, 2020. "Lessons from Implementing a Metropolitan Electric Bike Sharing System," Energies, MDPI, vol. 13(23), pages 1-21, November.
    12. Prawira Belgiawan & Jan-Dirk Schmöcker & Maya Abou-Zeid & Joan Walker & Tzu-Chang Lee & Dick Ettema & Satoshi Fujii, 2014. "Car ownership motivations among undergraduate students in China, Indonesia, Japan, Lebanon, Netherlands, Taiwan, and USA," Transportation, Springer, vol. 41(6), pages 1227-1244, November.
    13. Sonja Haustein, 2012. "Mobility behavior of the elderly: an attitude-based segmentation approach for a heterogeneous target group," Transportation, Springer, vol. 39(6), pages 1079-1103, November.
    14. Davison, Lisa & Littleford, Clare & Ryley, Tim, 2014. "Air travel attitudes and behaviours: The development of environment-based segments," Journal of Air Transport Management, Elsevier, vol. 36(C), pages 13-22.
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