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@ARTICLE{Rhoden:1007619,
      author       = {Rhoden, Imke and Ball, Christopher Stephen and Grajewski,
                      Matthias and Vögele, Stefan and Kuckshinrichs, Wilhelm},
      title        = {{R}everse engineering of stakeholder preferences – {A}
                      multi-criteria assessment of the {G}erman passenger car
                      sector},
      journal      = {Renewable $\&$ sustainable energy reviews},
      volume       = {181},
      issn         = {1364-0321},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2023-02118},
      pages        = {113352 -},
      year         = {2023},
      abstract     = {Germany is a frontrunner in setting frameworks for the
                      transition to a low-carbon system. The mobility sector plays
                      a significant role in this shift, affecting different people
                      and groups on multiple levels. Without acceptance from these
                      stakeholders, emission targets are out of reach. This
                      research analyzes how the heterogeneous preferences of
                      various stakeholders align with the transformation of the
                      mobility sector, looking at the extent to which the German
                      transformation paths are supported and where stakeholders
                      are located.Under the research objective of comparing
                      stakeholders' preferences to identify which car segments
                      require additional support for a successful climate
                      transition, a status quo of stakeholders and car performance
                      criteria is the foundation for the analysis. Stakeholders'
                      hidden preferences hinder the derivation of criteria
                      weightings from stakeholders; therefore, a ranking from
                      observed preferences is used. This study's inverse
                      multi-criteria decision analysis means that weightings can
                      be predicted and used together with a recalibrated
                      performance matrix to explore future preferences toward car
                      segments.Results show that stakeholders prefer medium-sized
                      cars, with the trend pointing towards the increased
                      potential for alternative propulsion technologies and
                      electrified vehicles. These insights can guide the improved
                      targeting of policy supporting the energy and mobility
                      transformation. Additionally, the method proposed in this
                      work can fully handle subjective approaches while
                      incorporating a priori information. A software
                      implementation of the proposed method completes this work
                      and is made publicly available.},
      cin          = {IEK-STE},
      ddc          = {620},
      cid          = {I:(DE-Juel1)IEK-STE-20101013},
      pnm          = {1112 - Societally Feasible Transformation Pathways
                      (POF4-111)},
      pid          = {G:(DE-HGF)POF4-1112},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001001907900001},
      doi          = {10.1016/j.rser.2023.113352},
      url          = {https://juser.fz-juelich.de/record/1007619},
}