Open Access
| Issue |
E3S Web Conf.
Volume 512, 2024
2024 International Conference on Urban Construction and Transportation (UCT 2024)
|
|
|---|---|---|
| Article Number | 04010 | |
| Number of page(s) | 5 | |
| Section | Modern Logistics Management and Transportation Economic Analysis | |
| DOI | https://doi.org/10.1051/e3sconf/202451204010 | |
| Published online | 10 April 2024 | |
- National Highway Traffic Safety Administration. (2017) Automated driving systems 2.0: A vision for safety. US Department of Transportation, Washington, DC. [Google Scholar]
- David, C.R., Jennifer, H., Kelley, C., Lisa, N., and Jason, J. (2018) Preparing communities for autonomous vehicles. [Google Scholar]
- Williams, A., Kwame, K. (2021) Perception of autonomous vehicles–a Ghanaian perspective. Transportation research interdisciplinary perspectives, 11:100437. [CrossRef] [Google Scholar]
- Joanna, M., Nathaniel, B., and Jinhua, Z. (2020) Public perceptions of autonomous vehicle safety: An international comparison. Safety science, 121:634–650. [CrossRef] [Google Scholar]
- Liu, p., Guo, Q., Ren, F., Wang, L., and Xu, Z. (2019) Willingness to pay for self-driving vehicles: Influences of demographic and psychological factors. Transportation Research Part C: Emerging Technologies, 100:306–317. [CrossRef] [Google Scholar]
- Parastoo, J., Joshua, A., and Don, M.. (2022) How do perceptions of safety and car ownership importance affect autonomous vehicle adoption? Travel behaviour and society, 28:128–140. [CrossRef] [Google Scholar]
- Sener, I. N., Zmud, J., and Williams, T.. (2019) Measures of baseline intent to use automated vehicles: A case study of texas cities. Transportation research part F: traffic psychology and behaviour, 62, 66–77. [CrossRef] [Google Scholar]
- Xing, Y., Zhou, H., Han, X., Zhang, M., and Lu, J.. (2022b) What influences vulnerable road users’ perceptions of autonomous vehicles? a comparative analysis of the 2017 and 2019 pittsburgh surveys. Technological Forecasting and Social Change, 176: 121454. [CrossRef] [Google Scholar]
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