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The research leading to these results received funding from the European Commission Horizon 2020 programme under the project L3Pilot (L3Pilot.eu), grant agreement number 723051. The L3Pilot Global User Acceptance Survey investigated the acceptance of SAE Level 3 (L3) conditionally automated cars. Survey data was collected in two phases. This dataset contains the data from the second phase of the survey with responses collected from 9 countries on five continents. This document contains information about the survey methodology and coding of the variables. For a detailed description of the first and second phase survey methodology, please consult L3Pilot deliverable D7.1 ‘Annual quantitative survey about user acceptance towards ADAS and vehicle automation’ by Nordhoff et al. (2021). If you use the dataset, please cite it as: L3Pilot (2023). L3Pilot Global User Acceptance Survey, Second Phase Data. https://doi.org/10.5281/zenodo.8389718 For further information, please contact: user-survey@eict.de
automated driving, conditionally automated cars, acceptance
automated driving, conditionally automated cars, acceptance
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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