The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
A Review on Energy, Environmental, and Sustainability Implications of Connected and Automated Vehicles
Open accessAbstract
Connected and automated vehicles (CAVs) are poised to reshape transportation and mobility by replacing humans as the driver and service provider. While the primary stated motivation for vehicle automation is to improve safety and convenience of road mobility, this transformation also provides a valuable opportunity to improve vehicle energy efficiency and reduce emissions in the transportation sector. Progress in vehicle efficiency and functionality, however, does not necessarily translate to net positive environmental outcomes. Here, we examine the interactions between CAV technology and the environment at four levels of increasing complexity: vehicle, transportation system, urban system, and society. We find that environmental impacts come from CAV-facilitated transformations at all four levels, rather than from CAV technology directly. We anticipate net positive environmental impacts at the vehicle, transportation system, and urban system levels, but expect greater vehicle utilization and shifts in travel patterns at the society level to offset some of these benefits. Focusing on the vehicle-level improvements associated with CAV technology is likely to yield excessively optimistic estimates of environmental benefits. Future research and policy efforts should strive to clarify the extent and possible synergetic effects from a systems level to envisage and address concerns regarding the short- and long-term sustainable adoption of CAV technology.
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US Environmental Protection Agency
(1998) · Choice Reviews Online · doi:10.5860/choice.35-4455 · Cited by 5,897
Change, I. P. O. C. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9781107415416 · Cited by 4,693
Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations
Fagnant, D. J., & Kockelman, K. (2015) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2015.04.003 · Cited by 3,214
Kyriakidis, M., Happee, R., & de Winter, J. C. F. (2015) · Transportation Research Part F: Traffic Psychology and Behaviour · doi:10.1016/j.trf.2015.04.014 · Cited by 1,383
On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment
Alonso-Mora, J., Samaranayake, S., Wallar, A., Frazzoli, E., & Rus, D. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1611675114 · Cited by 1,186
Fagnant, D. J., & Kockelman, K. M. (2014) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2013.12.001 · Cited by 1,177
Assessing public opinions of and interest in new vehicle technologies: An Austin perspective
Bansal, P., Kockelman, K. M., & Singh, A. (2016) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2016.01.019 · Cited by 1,025
Worldwide electricity used in data centers
Koomey, J. G. (2008) · Environmental Research Letters · doi:10.1088/1748-9326/3/3/034008 · Cited by 972
Milakis, D., van Arem, B., & van Wee, B. (2017) · Journal of Intelligent Transportation Systems · doi:10.1080/15472450.2017.1291351 · Cited by 963
Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles
Wadud, Z., MacKenzie, D., & Leiby, P. (2016) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2015.12.001 · Cited by 859
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Metadata
- Authors
- Taiebat, M., Brown, A. L., Safford, H. R., Qu, S., & Xu, M.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-09-26
- Volume
- 52
- Issue
- 20
- Pages
- 11449-11465
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2890108670
- Cited by
- 334
- References
- 86
- FWCI
- 16.82
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Taiebat, M., Brown, A. L., Safford, H. R., Qu, S., & Xu, M. (2018). A Review on Energy, Environmental, and Sustainability Implications of Connected and Automated Vehicles. Environmental Science & Technology. https://doi.org/10.1021/acs.est.8b00127
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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