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  • Many experts assume that increasing automation will lead to far-reaching changes in the mobility system. The pace and direction of this transition are a matter of great social interest. Therefore, the inclusion of citizens' perspectives is called for. However, similar as with other research approaches in technology assessment, there are two major challenges: the self-selection bias of such formats and the fact that automated driving cannot yet be experienced in the reality of people's lives. To tackle these challenges, we present a novel two-step research approach in this article. In the first step, a social network analysis is used to examine how people organize their everyday lives and the extent to which the mobility transition will affect them as a result. In the second step, representatives of different everyday configurations discuss the advantages and disadvantages of the transformation. (xsd:string)
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  • 2025 (xsd:gyear)
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  • 2025 (xsd:gyear)
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  • 10.14512/tatup.7175 ()
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  • en (xsd:string)
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  • 2567-8833 ()
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  • 1 (xsd:string)
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  • Technology assessment in the mobility sector: What can we learn from social network analysis? (xsd:string)
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  • Zeitschriftenartikel (xsd:string)
  • journal_article (en)
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  • In: TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis / Journal for Technology Assessment in Theory and Practice, 34, 2025, 1, 55-60 (xsd:string)
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  • 34 (xsd:string)