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With a Little Help from My Government – A User Perspective on State Support for Electric Vehicles

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 786)


A broad market penetration of electric vehicles could counteract emissions of greenhouse gases and high particulate matter pollution in cities. However, this is currently prevented by numerous perceived barriers. Government support measures designed to counteract these impediments do not have the desired effect. The present study uses a two-stage approach (focus group discussions and questionnaires with discrete choice experiments) to explore the influence of various support measures and other parameters on the decision to buy an electric vehicle. The results indicate that although financial support, like other support measures, is perceived as motivating, it cannot compensate for the other perceived disadvantages of electric vehicles. State subsidies even have the smallest impact on purchasing decisions. In addition to the electricity generation from renewable energy sources, the range of vehicles and the state of the charging infrastructure are decisive and cannot be compensated for by subsidy programs.


  • State support measures
  • Battery electric vehicles
  • User requirements
  • Charging infrastructure planning
  • User modelling
  • Adaptive choice-based conjoint analyses

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This research was funded by the German Ministry for Economic Affairs and Energy (Project SLAM, reference no. 01 MX 13007F). The authors thank all participants for sharing opinions on a novel technology. Furthermore, thanks go to Christin Gatzka, Susanne Gohr, and Michaela Heetkamp for their research assistance, as well as to the group from Liverpool for inspiring the paper title.

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Correspondence to Ralf Philipsen .

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Philipsen, R., Brell, T., Funke, T., Brost, W., Ziefle, M. (2019). With a Little Help from My Government – A User Perspective on State Support for Electric Vehicles. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2018. Advances in Intelligent Systems and Computing, vol 786. Springer, Cham.

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  • Print ISBN: 978-3-319-93884-4

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