CADIA: Japanese-German Research Collaboration on Connected and Automated Driving: Socioeconomic Impact Assessment
Connected and automated driving (CAD) has the potential to change multiple dimensions of the transport system, ranging from car ownership decisions to the emergence of new mobility services and changes in traffic flow. The wide future use of CAD and the resulting impact on societal acceptance, the transport system, and the environment depend on a number of factors. Among them are the adoption and diffusion of CAD vehicles and mobility services as well as changes in individual travel patterns and overall travel demand.
CADIA focuses on two research challenges in this broader context: (1) exploring, describing, and modeling the diffusion of CAD vehicles and services, and (2) understanding factors that influence the perception, adoption, or rejection of CAD – phenomena usually referred to in public and political discourses as “societal acceptance.”
The aim of the ITAS subproject “Societal Acceptance of CAD” is to initiate a comparative process in which German (and European) perspectives and scientific approaches, conceptualizations, and empirical results on societal acceptance in the field of automated driving are linked to the respective Japanese views. To this end, the results of the conceptual and analytical work carried out within the framework of CADIA on the role of societal acceptance in the current innovation policy discourse on CAD in Germany will be compared with results from the Japanese research program taking place in parallel. This will initially be done at the substantive level. Beyond this, the project aims to create the communicative and organizational basis for a strong research partnership between the participating German and Japanese institutions.
Social Acceptance of Automated Driving: Some Insights from Comparative Research in Japan and Germany.
2021. Proceedings of the 27th ITS World Congress, Hamburg, 11.-15.10.2021
Social Acceptance of Automated Driving: Empirical Insights and First Lessons.
2021. 8th SIP-adus Workshop (2021), Online, November 9–10, 2021
Visions and Expectations of Autonomous Driving by Policy Makers in Japan.
2021. DIJ Social Science Study Group, German Institute for Japanese Studies (DIJ 2021), Online, May 18, 2021
Visions of Autonomous Driving in Japan.
2021. Workshop of the Research Initiative ‘Technology & Society in Japan and Beyond (2021), Online, July 25, 2021
Social Acceptance of Automated Driving in Germany and Japan: Conceptual Issues and Empirical Insights.
2020. SIP-adus Workshop 2020 (2020), Online, November 10–12, 2020
Karlsruhe Institute of Technology (KIT)
Institute for Technology Assessment and Systems Analysis (ITAS)
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