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Autonomous Vehicles and Public Health
Open accessAbstract
Autonomous vehicles (AVs) have the potential to shape urban life and significantly modify travel behaviors. “Autonomous technology” means technology that can drive a vehicle without active physical control or monitoring by a human operator. The first AV fleets are already in service in US cities. AVs offer a variety of automation, vehicle ownership, and vehicle use options. AVs could increase some health risks (such as air pollution, noise, and sedentarism); however, if proper regulated, AVs will likely reduce morbidity and mortality from motor vehicle crashes and may help reshape cities to promote healthy urban environments. Healthy models of AV use include fully electric vehicles in a system of ridesharing and ridesplitting. Public health will benefit if proper policies and regulatory frameworks are implemented before the complete introduction of AVs into the market.
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“AV shuttles improve current transit services by making cost-efficient benefits [32].”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [32]
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“This highlights the potential for AV technology to aid in climate adaptation by reducing emissions by improving urban air quality and has a direct impact on cities' resilience and sustainability [32].”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [32]
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“All these factors contribute to increased inactivity, deterioration of the urban environment (air quality and noise), and reduction of public space available for social interaction and physical activity [32].”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [32]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“The real-world implications extend to urban planning, impacting parking optimization, land rents, and mass transit, with potential regulatory consequences [31,32].”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [32]
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“These characteristics collectively promote physical activity, enhance urban environmental conditions by improving air quality and reducing noise, and contribute to a healthier urban design by freeing up more public space [32].”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [32]
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“When AVs operate exclusively on electric power sourced from renewables, participate in ridesharing initiatives, and seamlessly integrate with public and active transportation modes, they offer substantial potential for public health benefits.”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [32]
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“On the other hand, serious risks can arise when AVs are adopted for personal use, depend on fossil fuels, lead to more kilometres driven, increased traffic congestion and occupation of public spaces.”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [32]
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“In terms of resilience to climate change impacts, AVs might bring health risks like air pollution, noise, and less physical activity all things that connect to climate concerns [32].”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [32]
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“Nonetheless, given the right rules and regulations, these self-driving vehicles could actually make our streets safer, reducing the chances of accidents [32].”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [32]
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Citations
Cites
Global environmental change and noncommunicable disease risks
Frumkin, H., & Haines, A. (2019) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-040218-043706 · Cited by 194
Self-citationTackling climate change: the greatest opportunity for global health
Wang, H., & Horton, R. (2015) · The Lancet · doi:10.1016/s0140-6736(15)60931-x · Cited by 126
Research works printed but not linked: 89
- Adams I, 2016, Slate
- Ainsalu J, 2018, Sustainability, 10, 3118, 10.3390/su10093118 · DOI
- 10.1016/j.jhazmat.2014.04.053 · DOI
- 10.1371/journal.pone.0185517 · DOI
- 10.3390/ijerph15030519 · DOI
- 10.1016/j.tranpol.2018.01.001 · DOI
- 10.1016/j.amepre.2007.12.004 · DOI
- 10.1016/j.proenv.2015.10.001 · DOI
- 10.3390/ijerph14080873 · DOI
- BTS (Bur. Transp. Stat.), 2017, Bureau of Transportation Statistics
- Chang D., 2008, Comparison of crash fatalities by sex and age group
- 10.1016/j.ypmed.2012.06.015 · DOI
- 10.3390/ijerph15112400 · DOI
- 10.1080/20551940.2018.1467664 · DOI
- Cohen S, 2017, Can we advance social equity with shared, autonomous and electric vehicles?
- 10.1177/0361198119836971 · DOI · Paper page
- 10.1080/1464536X.2011.573011 · DOI
- Creger H, 2019, Autonomous vehicle heaven or hell? Creating a transportation revolution that benefits all
- CSPC (Cent. Study Pres. Congr.), 2017, The autonomous vehicle revolution: fostering innovation with smart regulation
- Dalrymple G., 2013, Minimum sound requirements for hybrid and electric vehicles
- 10.1016/j.envint.2016.12.023 · DOI
- 10.1016/j.envint.2011.02.003 · DOI
- 10.1186/s12889-015-2453-3 · DOI
- Etherington D., 2019, Techcrunch
- 2016, Technology and the future of cities
- 10.1016/j.trc.2013.12.001 · DOI · Paper page
- 10.1371/journal.pone.0184952 · DOI
- Gen. Motors, 2018, 2018 self-driving safety report
- 10.17848/tr19-036 · DOI
- 10.3390/ijerph14121539 · DOI
- Gwilliam K, 2004, Reducing air pollution from urban transport
- Health Effects Inst, 2018, State of Global Air/2018. A special report on global exposure to air pollution and its disease burden
- Henaghan J, 2018, Preparing communities for autonomous vehicles
- Inst. Med. Natl. Acad, 2006, Organ Donation: Opportunities for Action
- Int. Transp. Forum, 2016, Shared mobility innovation for liveable cities
- KPMG Int, 2019, 2019 autonomous vehicles readiness index: assessing countries’ preparedness for autonomous vehicles
- Lang NS, 2017, Making autonomous vehicles a reality: lessons from Boston and beyond
- Levin P., 2018, Medium
- Litman T., 2016, The hidden traffic safety solution: public transportation
- Litman T., 2019, Autonomous vehicle implementation predictions: implications for transport planning
- 10.5038/2375-0901.21.1.10 · DOI
- 10.1097/TA.0000000000000816 · DOI
- 10.4155/fso.15.21 · DOI · Paper page
- 10.1177/0013916514529969 · DOI
- 10.1038/d41586-018-07135-0 · DOI
- 10.3390/urbansci2020033 · DOI · Paper page
- 10.1001/jama.2018.0158 · DOI
- 10.1289/EHP220 · DOI
- 10.1016/j.ypmed.2015.04.010 · DOI
- 10.1016/j.envint.2018.10.017 · DOI
- Natl. Cancer Inst, 2019, Electromagnetic fields and cancer
- Natl. Cent. Stat. Anal, 2018, 2017 fatal motor vehicle crashes: overview
- Natl. Saf. Counc, 2017, Cannabis (marijuana) and driving
- Natl. Toxicol. Progr, 2018, The toxicology and carcinogenesis studies in Hsd:Sprague Dawley SD rats exposed to whole-body radio frequency radiation at a frequency (900 mhz) and modulations (GSM and CDMA) used by cell phones
- Natl. Transp. Comm, 2018, Changing driving laws to support automated vehicles
- NHTSA (Natl. Highw. Traffic Saf. Adm.), 2019, NHTSA
- NHTSA (Natl. Highw. Traffic Saf. Adm.), 2019, Highly automated or “self-driving” vehicles
- 10.1186/s12940-016-0108-1 · DOI
- 10.3390/ijerph15112405 · DOI
- Off. Surg. Gen, 2016, Facing addiction in America: the Surgeon General's report on alcohol, drugs, and health
- 10.3390/ijerph9072454 · DOI
- Rojas-Rueda D., 2017, J. Urban Des. Ment. Health, 3, 1
- 10.1136/bmj.d4521 · DOI
- 10.1016/j.ypmed.2013.07.021 · DOI
- 10.1016/j.envint.2012.08.009 · DOI
- Rojas-Rueda D, 2016, Epidemiology, 27, 159
- 2018, Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles
- 10.2105/AJPH.2013.301696 · DOI
- 10.1186/s12961-018-0295-z · DOI
- 10.1186/2052-4374-26-2 · DOI
- 10.1080/01441647.2018.1523253 · DOI · Paper page
- State Calif, 2019, State of California Department of Motor Vehicles
- Thakur P, 2016, Australasian Transport Research Forum 2016 Proceedings, Melbourne, Australia
- 10.1016/j.atmosenv.2016.03.017 · DOI
- UN Dep. Econ. Soc. Aff, 2018, World urbanization prospects: the 2018 revision
- US Dep. Transp, 2018, Automated vehicles 3.0. Preparing for the future of transportation
- US Energy Inf. Adm, 2018, Autonomous vehicles: uncertainties and energy implications
- US EPA (Environ. Prot. Agency), 2019, Greenhouse Gas Emissions
- US Organ Procure. Transplant. Netw, 2019, National Data
- Verheijen E, 2010, Effect of electric cars on traffic noise and safety
- 10.3390/ijerph16030462 · DOI
- Waymo, 2018, On the road to fully self-driving
- WHO (World Health Organ.), 2018, Global status report on road safety 2018
- WHO (World Health Organ.), 2018, Health and climate change
- WHO (World Health Organ.) Eur. Cent. Environ. Health, 2011, Burden of disease from environmental noise: quantification of healthy life years lost in Europe
- WHO (World Health Organ.) Reg. Off. Eur, 2012, Addressing the social determinants of health: the urban dimension and the role of local government
- 10.1016/j.amepre.2018.10.022 · DOI
- Zhang W., 2017, The interaction between land use and transportation in the era of shared autonomous vehicles: a simulation model
- 10.17226/24873 · DOI
Cited by
Sorted by citations
Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature
Makahleh, H. Y., Ferranti, E. J. S., & Dissanayake, D. (2024) · Future Transportation · doi:10.3390/futuretransp4020017 · Cited by 55
Metadata
- Authors
- Rojas-Rueda, D., Nieuwenhuijsen, M. J., Khreis, H., & Frumkin, H.
- Affiliations
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado 80523, USA;
- Universitat Pompeu Fabra (ES)
- University of Washington (US)
- Venue
- Annual Review of Public Health
- Publisher
- Annual Reviews
- Published
- 2020-04-02
- Volume
- 41
- Issue
- 1
- Pages
- 329-345
- ISSN
- 0163-7525 (ISSN-L)
- 1545-2093
- OpenAlex
- W3003469579
- Cited by
- 127
- References
- 2
- Citations by year
- 2026: 6 · 2025: 14 · 2024: 26 · 2023: 30 · 2022: 25 · 2021: 17 · 2020: 8
- FWCI
- 1.39
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Annual Review of Public Health (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (submittedVersion, cc-by)
- Topics
- Social Sciences › Transportation › Transportation and Mobility Innovations
- Social Sciences › Transportation › Urban Transport and Accessibility
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
- Keywords
- autonomous vehicles, public health, travel behavior, traffic accidents, air pollution, noise exposure, sedentary behavior, electric vehicles, ride-sharing, urban planning, car ownership, transport policy, regulatory framework
- MeSH terms
- Population Health, Adult, Aged, Aged, 80 and over, Air Pollution, Automation, Automobile Driving, Female, Humans, Male, Middle Aged, Public Health, United States, Urban Population
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