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@PHDTHESIS{Hackbarth:842507,
      author       = {Hackbarth, André Claude},
      othercontributors = {Madlener, Reinhard and Wentzel, Daniel},
      title        = {{P}rivate households’ preferences for alternative fuel
                      vehicles in {G}ermany : an empirically founded analysis of
                      adoption decisions, willingness-to-pay, and policy
                      scenarios; 1. {A}uflage},
      volume       = {102},
      school       = {RWTH Aachen University},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {E.ON Energy Research Center, RWTH Aachen University},
      reportid     = {RWTH-2022-02517},
      isbn         = {978-3-948234-16-4},
      series       = {E.ON Energy Research Center ; FCN, Future energy consumer
                      needs and behavior},
      pages        = {1 Online-Ressource : Diagramme},
      year         = {2022},
      note         = {Druckausgabe: 2022. - Auch veröffentlicht auf dem
                      Publikationsserver der RWTH Aachen University; Dissertation,
                      RWTH Aachen University, 2021},
      abstract     = {Road transportation is responsible for an increasing share
                      of global greenhouse gas and local air pollutant emissions.
                      Consequently, it plays a central role in fighting climate
                      change and major human health challenges, as well as
                      reducing the associated societal costs. This dissertation
                      investigates the preferences of German private households
                      when making their vehicle purchase decisions – i.e.
                      choices of a specific fuel type or propulsion technology and
                      a specific body type – and primarily discusses the
                      measures needed to increase the adoption of alternative fuel
                      vehicles (AFVs), explicitly taking car buyers’ preference
                      heterogeneity into account. For this purpose, actual and
                      hypothetical vehicle purchases of recent or potential future
                      buyers of new passenger cars are assessed in three distinct
                      but interrelated parts. Based on data gathered in a
                      nationwide survey and by applying various specifications of
                      logistic regression models, willingness-to-pay values for
                      vehicle attribute improvements are calculated, and future
                      market shares of different AFVs are predicted for a broad
                      range of possible technical improvements or policy actions
                      in a scenario analysis. Building upon these results,
                      recommendations are derived in order to support
                      decision-makers in creating tailored and economically viable
                      products, marketing and communication strategies, or policy
                      measures to encourage car buyers’ body type shifting (e.g.
                      from larger to smaller vehicles), fuel type switching (e.g.
                      from fossil-fueled vehicles to AFVs), or both.},
      cin          = {080052 / 816110},
      ddc          = {330},
      cid          = {$I:(DE-82)080052_20160101$ / $I:(DE-82)816110_20140620$},
      typ          = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
      doi          = {10.18154/RWTH-2022-02517},
      url          = {https://publications.rwth-aachen.de/record/842507},
}