Autonomous vehicles are cost-effective when used as taxis
dc.contributor.author | Freedman, Isaac G | |
dc.contributor.author | Kim, Ellen | |
dc.contributor.author | Muennig, Peter A | |
dc.date.accessioned | 2018-06-10T03:39:46Z | |
dc.date.available | 2018-06-10T03:39:46Z | |
dc.date.issued | 2018-06-04 | |
dc.identifier.citation | Injury Epidemiology. 2018 Jun 04;5(1):24 | |
dc.identifier.uri | https://doi.org/10.1186/s40621-018-0153-z | |
dc.identifier.uri | https://hdl.handle.net/2027.42/144219 | |
dc.description.abstract | Abstract Background Autonomous vehicles (AVs) will radically re-shape the health and well-being of people in the United States in good ways and bad. We set out to estimate a reasonable time-to-adoption using cost-effectivenessmodels to estimate the point at which AVs become reasonably safe and affordable for widespread adoption. Methods We used Waymo data (previously, Google Self-Driving Car Project) and a microsimulation model to explore projected costs and safety issues today and five years from today to get a sense of the speed of consumer adoption were AVs brought to the market. Results The adoption of AVs for private use was associated with an ICER of 1,396,110/QALY gained today, a figure that would decline to 173,890/QALY gained 5-years in the future. However, AV taxis are both less expensive and potentially already safer than human-piloted taxis. Conclusions While AVs are not unlikely to be used a family vehicles any time soon, it would make economic sense to adopt them as taxis today. Legislation enhancing the benefits while mitigating the potential harmful health impacts of AV taxis is needed with some urgency. | |
dc.title | Autonomous vehicles are cost-effective when used as taxis | |
dc.type | Article | en_US |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/144219/1/40621_2018_Article_153.pdf | |
dc.language.rfc3066 | en | |
dc.rights.holder | The Author(s). | |
dc.date.updated | 2018-06-10T03:39:48Z | |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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