National survey of drinking and driving attitudes and behaviors: 2008
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Robust public support for laws that prohibit driving whilst under the influence of drugs or alcohol testifies that people don't like it when drivers place them at an elevated risk of death or injury.
“the robust public support for laws that prohibit driving whilst under the influence of drugs or alcohol testify to the fact that people don't like it when drivers place them at an elevated risk of death or injury”
From When human beings are like drunk robots: Driverless vehicles, ethics, and the future of transport (2017) · cites this paper as National Highway Traffic Safety Administration, 2011
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When human beings are like drunk robots: Driverless vehicles, ethics, and the future of transport
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التعامل الأمني مع مرتكبي حوادث الطرق تحت تأثير التعاطي
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- Venue
- Annals of Emergency Medicine
- Publisher
- Elsevier BV
- Published
- 2011-04
- Volume
- 57
- Issue
- 4
- Pages
- 405-406
- ISSN
- 0196-0644 (ISSN-L)
- OpenAlex
- W2909334904
- Cited by
- 30
- References
- 0
- Citations by year
- 2023: 1 · 2022: 3 · 2021: 1 · 2020: 2 · 2019: 5 · 2018: 2 · 2017: 1 · 2016: 2 · 2015: 2 · 2014: 2 · 2013: 2 · 2012: 3
- FWCI
- 8.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annals of Emergency Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Older Adults Driving Studies
- Keywords
- drunk driving, alcohol consumption, designated drivers, risk perception, young adults, underage drinking
- MeSH terms
- Adolescent, Adult, Alcohol Drinking, Attitude, Automobile Driving, Data Collection, Female, Humans, Male, United States, Young Adult
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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