Technology assessment in the mobility sector: What can we learn from social network analysis?

Authors

DOI:

https://doi.org/10.14512/tatup.7175

Keywords:

autonomous driving, mobility transition, social network analysis, participation

Abstract

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.

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Published

2025-03-21

How to Cite

1.
Technology assessment in the mobility sector: What can we learn from social network analysis?. TATuP [Internet]. 2025 Mar. 21 [cited 2025 Apr. 29];34(1):55–60. Available from: https://tatup.de/index.php/tatup/article/view/7175