Perceptions and Attitudes Towards the Deployment of Autonomous and Connected Vehicles
Insights from Las Vegas, Nevada
Bibliographic Data
| ID | 15318655 |
|---|---|
| Authors | Sarah Dennis-Bauer (0000-0002-2169-5046, Civil and Environmental Engineering, University of California, Davis, United States, corresponding author), Alexander Paz (0000-0002-1217-9808, Queensland University of Technology), Tan Yigitcanlar (0000-0001-7262-7118, Queensland University of Technology) |
| Year | 2021 |
| Volume | 28 |
| Issue | 3-4 |
| Pages | 75-95 |
| Publication date | 2021-03-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Urban Technology (JOURNAL) |
| Journal identifiers | ISSN: 1063-0732 • E-ISSN: 1466-1853 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/10630732.2021.1879606 |
| OpenAlex | W3106682861 |
| Language | EN |
| Citations received | 11 |
| References cited | 23 |
Connected and autonomous vehicles (CAVs) are quickly becoming part of our transportation systems, and their use is largely dependent on public perceptions. The objective of this study was to evaluate perceptions of CAVs. Specifically, understanding the differences between people who have ridden a CAV in downtown Las Vegas (shuttle-rider survey) versus those who have not (general survey) yet. Two different survey questionnaires were used to collect data that was analyzed by using penalized logistic regression. Results suggest that people who had exposure to CAVs feel more positively about CAVs. Similarly, young, highly educated, males feel more positively about CAVs than their respective counterparts
Advertising · Archaeology · Business · Downtown · Geography · Las vegas · Logistic regression · Metropolitan area · Perception · Public transport · Software deployment · Statistics · Survey data collection · Transport engineering · Applied Psychology · Computer Science · Engineering · Human-Automation Interaction and Safety · Mathematics · Psychology · Traffic and Road Safety · Transportation and Mobility Innovations · Marketing
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| Unique citing works | 11 |
|---|---|
| Citations per year | 2,2 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 11 |