Unveiling the Hidden Effects of Automated Vehicles on “Do No Significant Harm” Components
Abstract
:1. Introduction
Objectives of the Paper
2. Literature Review
2.1. Climate Change Mitigation
2.2. Climate Change Adaptation
2.3. Sustainable Use and Protection of Water and Marine Resources
2.4. Transition to the Circular Economy, including Waste Prevention and Recycling
2.5. Prevention and Reduction of Air, Water, and Soil Pollution
2.6. Protection and Restoration of Biodiversity and Health of Ecosystems
3. Materials and Methods
3.1. Focus Group Set-Up and Characteristics
3.2. Focus Group Discussion Structure
4. Results
4.1. Key Results of Literature Review
4.2. Pro-Active Vision for the Future City Integrating Measures for Mitigating the Negative Impacts of AVs on the DNSH Components
4.3. Bucharest Case Study, Regarding the Impact of AV on DNSH Components: Results of the Focus Group
4.3.1. AVs Impacts on Climate Change Mitigation and Response Measures
4.3.2. AVs Impact on Climate Change Adaptation Component and Mitigation Measures
4.3.3. AVs Impact on Water Resources Component and Mitigation Measures
4.3.4. AVs Impact on Circular Economy and Waste Management Component and Mitigation Measures
4.3.5. AVs Impact on Pollution Prevention Component and Mitigation Measures
4.3.6. AVs Impact on Healthy Ecosystems Component and Mitigation Measures
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Nikitas, A.; Vitel, A.E.; Cotet, C. Autonomous Vehicles and Employment: An Urban Futures Revolution or Catastrophe? Cities 2021, 114, 103203. [Google Scholar] [CrossRef]
- Zhang, P.; Zhu, B.; Zhao, J.; Fan, T.; Sun, Y. Safety Evaluation Method in Multi-Logical Scenarios for Automated Vehicles Based on Naturalistic Driving Trajectory. Accid. Anal. Prev. 2023, 180, 106926. [Google Scholar] [CrossRef] [PubMed]
- Yu, H.; Zhao, C.; Molnar, T.G. Safety-Critical Traffic Control by Connected Automated Vehicles. arXiv 2023, arXiv:2301.04833. [Google Scholar]
- Canzler, W.; Knie, A. The Future of Mobility: Winners and Losers and New Options in the Public Space; WZB Discussion Paper SPIII 2023-601; Wissenschaftszentrum Berlin für Sozialforschung (WZB): Berlin, Germany, 2023. [Google Scholar]
- Liu, H.; Jiang, R.; Tian, J.; Zhu, K. Traffic Flow of Connected and Automated Vehicles at Lane Drop on Two-Lane Highway: An Optimization-Based Control Algorithm versus a Heuristic Rules-Based Algorithm. Chin. Phys. B 2023, 32, 014501. [Google Scholar] [CrossRef]
- Liu, W.; Hua, M.; Deng, Z.; Meng, Z.; Huang, Y.; Hu, C.; Song, S.; Gao, L.; Liu, C.; Shuai, B.; et al. A Systematic Survey of Control Techniques and Applications: From Autonomous Vehicles to Connected and Automated Vehicles. arXiv 2023, arXiv:2303.05665. [Google Scholar]
- Kosuru, V.S.R.; Venkitaraman, A.K. Advancements and Challenges in Achieving Fully Autonomous Self-Driving Vehicles. World J. Adv. Res. Rev. 2023, 18, 161–167. [Google Scholar] [CrossRef]
- Tengilimoglu, O.; Carsten, O.; Wadud, Z. Implications of Automated Vehicles for Physical Road Environment: A Comprehensive Review. Transp. Res. Part E Logist. Transp. Rev. 2023, 169, 102989. [Google Scholar] [CrossRef]
- Rojas Rueda, D.; Nieuwenhuijsen, M.J.; Khreis, H.; Frumkin, H. Autonomous Vehicles and Public Health. Annu. Rev. Public Health 2020, 41, 329–345. [Google Scholar] [CrossRef] [Green Version]
- Nikitas, A.; Thomopoulos, N.; Milakis, D. The Environmental and Resource Dimensions of Automated Transport: A Nexus for Enabling Vehicle Automation to Support Sustainable Urban Mobility. Annu. Rev. Environ. Resour. 2021, 46, 167–192. [Google Scholar] [CrossRef]
- Raposo, M.A.; Grosso, M.; Mourtzouchou, A.; Krause, J.; Duboz, A.; Ciuffo, B. Economic Implications of a Connected and Automated Mobility in Europe. Res. Transp. Econ. 2022, 92, 101072. [Google Scholar] [CrossRef]
- Milakis, D. Long-term Implications of Automated Vehicles: An Introduction. Transp. Rev. 2019, 39, 1–8. [Google Scholar] [CrossRef]
- Detjen, H.; Faltaous, S.; Pfleging, B.; Geisler, S.; Schneegass, S. How to Increase Automated Vehicles’ Acceptance through In-Vehicle Interaction Design: A Review. Int. J. Hum.-Comput. Interact. 2021, 37, 308–330. [Google Scholar] [CrossRef]
- Sadeghian Borojeni, S.; Meschtscherjakov, A.; Pfleging, B.; Donmez, B.; Riener, A.; Janssen, C.P.; Kun, A.L.; Ju, W.; Remy, C.; Wintersberger, P. Should I stay or should I go? Automated vehicles in the age of climate change. In Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA, 25–30 April 2020; pp. 1–8. [Google Scholar]
- European Union. Regulation EU 2020/852 of the European Parliament and of the Council Establishing a Framework to Facilitate Sustainable Investment. Available online: https://eur-lex.europa.eu/legal-content/IT/TXT/?uri=CELEX:32020R0852 (accessed on 28 January 2023).
- Dusík, J.; Bond, A. Environmental Assessments and Sustainable Finance Frameworks: Will the EU Taxonomy Change the Mindset over the Contribution of EIA to Sustainable Development? Impact Assess. Proj. Apprais. 2022, 40, 90–98. [Google Scholar] [CrossRef]
- Lee, S.H. “Do No Significant Harm” as a Core Principle in Sustainable Finance Regulation in the ASEAN Draft and Singapore Taxonomies. J. Int. Area Stud. 2022, 29, 21–38. [Google Scholar]
- Joița, D.; Dobrotã, C.E.; Popescu, C. “Do No Significant Harm” Principle and Current Challenges for the EU Taxonomy Towards Energy Transition. In Corporate Governance for Climate Transition; Springer: Cham, Switzerland, 2023; pp. 187–208. [Google Scholar]
- Ahmed, A.A.; Nazzal, M.A.; Darras, B.M.; Deiab, I.M. Global Warming Potential, Water Footprint, and Energy Demand of Shared Autonomous Electric Vehicles Incorporating Circular Economy Practices. Sustain. Prod. Consum. 2023, 36, 449–462. [Google Scholar] [CrossRef]
- Hancock, P.A.; Kajaks, T.; Caird, J.K.; Chignell, M.H.; Mizobuchi, S.; Burns, P.C.; Feng, J.; Fernie, G.R.; Lavallière, M.; Noy, I.Y.; et al. Challenges to Human Drivers in Increasingly Automated Vehicles. Hum. Factors 2020, 62, 310–328. [Google Scholar] [CrossRef]
- Taiebat, M.; Brown, A.L.; Safford, H.R.; Qu, S.; Xu, M. A Review on Energy, Environmental, and Sustainability Implications of Connected and Automated Vehicles. Environ. Sci. Technol. 2018, 52, 11449–11465. [Google Scholar] [CrossRef]
- Meeder, M.; Bosina, E.; Weidmann, U. Autonomous Vehicles: Pedestrian Heaven or Pedestrian Hell. In Proceedings of the 17th Swiss Transport Research Conference, Ascona, Switzerland, 17–19 May 2017; pp. 17–19. [Google Scholar]
- Dockstader, J.D.; Morrison, V.; Brown, C. Research Showcase, Summer 2014: The Value of Roadside Vegetation, Hydroplane Prediction Tool, Gearing up for Automated Vehicles; Florida Department of Transportation Research Center: Gainesville, FL, USA, 2014. [Google Scholar]
- Andrei, L.; Negulescu, M.H.; Luca, O. Premises for the Future Deployment of Automated and Connected Transport in Romania Considering Citizens’ Perceptions and Attitudes towards Automated Vehicles. Energies 2022, 15, 1698. [Google Scholar] [CrossRef]
- Andrei, L.; Luca, O.; Gaman, F. Insights from User Preferences on Automated Vehicles: Influence of Socio-Demographic Factors on Value of Time in Romania Case. Sustainability 2022, 14, 10828. [Google Scholar] [CrossRef]
- Pauca, O.; Caruntu, C.F.; Maxim, A. Trajectory Planning and Tracking for Cooperative Automated Vehicles in a Platoon. In Proceedings of the 2020 24th International Conference on System Theory, Control and Computing (ICSTCC), Sinaia, Romania, 7–9 October 2020; IEEE: Piscataway, NJ, USA, 2020; pp. 769–774. [Google Scholar]
- Caruntu, C.F.; Ferariu, L.; Pascal, C.; Cleju, N.; Comsa, C.R. Connected Cooperative Control for Multiple-Lane Automated Vehicle Flocking on Highway Scenarios. In Proceedings of the 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC), Sinaia, Romania, 9–11 October 2019; IEEE: Piscataway, NJ, USA, 2019; pp. 791–796. [Google Scholar]
- Fakhrmoosavi, F.; Kamjoo, E.; Kavianipour, M.; Zockaie, A.; Talebpour, A.; Mittal, A. A Stochastic Framework Using Bayesian Optimization Algorithm to Assess the Network-Level Societal Impacts of Connected and Autonomous Vehicles. Transp. Res. Part C Emerg. Technol. 2022, 139, 103663. [Google Scholar] [CrossRef]
- Kopelias, P.; Demiridi, E.; Vogiatzis, K.; Skabardonis, A.; Zafiropoulou, V. Connected & Autonomous Vehicles–Environmental Impacts—A Review. Sci. Total Environ. 2020, 712, 135237. [Google Scholar]
- Le Hong, Z.; Zimmerman, N. Air Quality and Greenhouse Gas Implications of Autonomous Vehicles in Vancouver, Canada. Transp. Res. Part D Transp. Environ. 2021, 90, 102676. [Google Scholar] [CrossRef]
- Coulombel, N.; Boutueil, V.; Liu, L.; Viguié, V.; Yin, B. Substantial Rebound Effects in Urban Ridesharing: Simulating Travel Decisions in Paris, France. Transp. Res. Part D Transp. Environ. 2019, 71, 110–126. [Google Scholar] [CrossRef]
- Rafael, S.; Correia, L.P.; Lopes, D.; Bandeira, J.; Coelho, M.C.; Andrade, M.; Miranda, A.I. Autonomous Vehicles Opportunities for Cities Air Quality. Sci. Total Environ. 2020, 712, 136546. [Google Scholar] [CrossRef]
- Arbib, J.; Seba, T. Rethinking Transportation 2020–2030 (RethinkX, May, Issue). Available online: https://www.rncan.gc.ca/sites/www.nrcan.gc.ca/files/energy/energy-resources/Rethinking_Transportation_2020-2030.pdf (accessed on 12 February 2023).
- Gawron, J.H.; Keoleian, G.A.; De Kleine, R.D.; Wallington, T.J.; Kim, H.C. Life Cycle Assessment of Connected and Automated Vehicles: Sensing and Computing Subsystem and Vehicle Level Effects. Environ. Sci. Technol. 2018, 52, 3249–3256. [Google Scholar] [CrossRef] [PubMed]
- Han, J.; Shen, D.; Jeong, J.; Di Russo, M.; Kim, N.; Grave, J.J.; Karbowski, D.; Rousseau, A.; Stutenberg, K.M. Energy Impact of Connecting Multiple Signalized Intersections to Energy-Efficient Driving: Simulation and Experimental Results. IEEE Control Syst. Lett. 2023, 7, 1297–1302. [Google Scholar] [CrossRef]
- Fagnant, D.J.; Kockelman, K.M. The Travel and Environmental Implications of Shared Autonomous Vehicles, Using Agent-Based Model Scenarios. Transp. Res. C 2014, 40, 1–13. [Google Scholar] [CrossRef]
- Narayanan, S.; Chaniotakis, E.; Antoniou, C. Shared Autonomous Vehicle Services: A Comprehensive Review. Transp. Res. C 2020, 111, 255–293. [Google Scholar] [CrossRef]
- Szymanski, P.; Ciuffo, B.; Fontaras, G.; Martini, G.; Pekar, F. The Future of Road Transport in Europe: Environmental Implications of Automated, Connected and Low-Carbon Mobility. Combust. Engines 2021, 60, 3–10. [Google Scholar] [CrossRef]
- Kim, T.J. Automated Autonomous Vehicles: Prospects and Impacts on Society. J. Transp. Technol. 2018, 8, 137. [Google Scholar] [CrossRef] [Green Version]
- Agora Verkehrswende. On Autopilot to a More Efficient Future? How Data Processing by Connected and Autonomous Vehicles Will Impact Energy Consumption; Fraunhofer: Munich, Germany, 2021; Available online: https://www.agora-verkehrswende.de/en/publications/on-autopilot-to-a-more-efficient-future (accessed on 30 April 2023).
- Zhang, Y.; Carballo, A.; Yang, H.; Takeda, K. Perception and Sensing for Autonomous Vehicles under Adverse Weather Conditions: A Survey. ISPRS J. Photogramm. Remote Sens. 2023, 196, 146–177. [Google Scholar] [CrossRef]
- Rahman, M.M.; Thill, J.C. Impacts of Connected and Autonomous Vehicles on Urban Transportation and Environment: A Comprehensive Review. Sustain. Cities Soc. 2023, 96, 104649. [Google Scholar] [CrossRef]
- Park, J.E.; Byun, W.; Kim, Y.; Ahn, H.; Shin, D.K. The Impact of Automated Vehicles on Traffic Flow and Road Capacity on Urban Road Networks. J. Adv. Transp. 2021, 2021, e8404951. [Google Scholar] [CrossRef]
- Dennis, E.P.; Spulber, A.; Sathe Brugerman, V.; Kuntzsch, R.; Neuner, R. Planning for Connected and Automated Vehicles. Technology Research; Center for Automotive Research: Ann Arbor, MI, USA, 2017; Available online: https://www.cargroup.org/publication/planning-for-connected-and-automated-vehicles/ (accessed on 12 April 2023).
- Stead, D.; Vaddadi, B. Automated Vehicles and How They May Affect Urban Form: A Review of Recent Scenario Studies. Cities 2019, 92, 125–133. [Google Scholar] [CrossRef]
- Xiao, G.; Lu, Q.; Ni, A.; Zhang, C. Research on carbon emissions of public bikes based on the life cycle theory. Transp. Lett. 2023, 15, 278–295. [Google Scholar] [CrossRef]
- Moore, M.A.; Lavieri, P.S.; Dias, F.F.; Bhat, C.R. On Investigating the Potential Effects of Private Autonomous Vehicle Use on Home/Work Relocations and Commute Times. Transp. Res. C 2020, 110, 166–185. [Google Scholar] [CrossRef]
- Alonso, E.; Arpón, C.; González, M.; Fernández, R.Á.; Nieto, M. Economic impact of autonomous vehicles in Spain. Eur. Transp. Res. Rev. 2020, 12, 59. [Google Scholar] [CrossRef]
- Chehri, A.; Mouftah, H.T. Autonomous Vehicles in the Sustainable Cities, the Beginning of a Green Adventure. Sustain. Cities Soc. 2019, 51, 101751. [Google Scholar] [CrossRef]
- International Transport Forum. Shared Mobility Innovation for Liveable Cities; Report; International Transport Forum: Paris, France, 2016; Available online: https://www.itf-oecd.org/sites/default/files/docs/shared-mobility-liveable-cities.pdf (accessed on 29 May 2023).
- Vargas, J.; Alsweiss, S.; Toker, O.; Razdan, R.; Santos, J. An Overview of Autonomous Vehicles Sensors and Their Vulnerability to Weather Conditions. Sensors 2021, 21, 5397. [Google Scholar] [CrossRef]
- Hou, G. Evaluating Efficiency and Safety of Mixed Traffic with Connected and Autonomous Vehicles in Adverse Weather. Sustainability 2023, 15, 3138. [Google Scholar] [CrossRef]
- Papa, E.; Ferreira, A. Sustainable Accessibility and the Implementation of Automated Vehicles: Identifying Critical Decisions. Urban Sci. 2018, 2, 5. [Google Scholar] [CrossRef] [Green Version]
- Wang, S.; Yang, K.; Yuan, D.; Yu, K.; Su, Y. Temporal-Spatial Changes about the Landscape Pattern of Water System and Their Relationship with Food and Energy in a Mega City in China. Ecol. Model. 2019, 401, 75–84. [Google Scholar] [CrossRef]
- Glaviano, F.; Esposito, R.; Cosmo, A.D.; Esposito, F.; Gerevini, L.; Ria, A.; Molinara, M.; Bruschi, P.; Costantini, M.; Zupo, V. Management and Sustainable Exploitation of Marine Environments through Smart Monitoring and Automation. J. Mar. Sci. Eng. 2022, 10, 297. [Google Scholar] [CrossRef]
- Khamis, A.; Li, H.; Prestes, E.; Haidegger, T. AI: A Key Enabler for Sustainable Development Goals: Part 2 [Industry Activities]. IEEE Robot. Autom. Mag. 2019, 26, 122–127. [Google Scholar] [CrossRef]
- Kurniawan, T.A.; Othman, M.H.D.; Liang, X.; Goh, H.H.; Gikas, P.; Kusworo, T.D.; Anouzla, A.; Chew, K.W. Decarbonization in Waste Recycling Industry Using Digitalization to Promote Net-Zero Emissions and Its Implications on Sustainability. J. Environ. Manag. 2023, 338, 117765. [Google Scholar] [CrossRef]
- Demartini, M.; Ferrari, M.; Govindan, K.; Tonelli, F. The Transition to Electric Vehicles and a Net Zero Economy: A Model Based on Circular Economy, Stakeholder Theory, and System Thinking Approach. J. Clean. Prod. 2023, 410, 137031. [Google Scholar] [CrossRef]
- Xia, X.; Li, P. A review of the life cycle assessment of electric vehicles: Considering the influence of batteries. Sci. Total Environ. 2022, 814, 152870. [Google Scholar] [CrossRef]
- Kastanaki, E.; Giannis, A. Dynamic Estimation of End-of-Life Electric Vehicle Batteries in the EU-27 Considering Reuse, Remanufacturing and Recycling Options. J. Clean. Prod. 2023, 393, 136349. [Google Scholar] [CrossRef]
- Elshkaki, A. Sustainability of Emerging Energy and Transportation Technologies Is Impacted by the Coexistence of Minerals in Nature. Commun. Earth Environ. 2021, 2, 186. [Google Scholar] [CrossRef]
- Remme, D.; Jackson, J. Green Mission Creep: The Unintended Consequences of Circular Economy Strategies for Electric Vehicles. J. Clean. Prod. 2023, 394, 136346. [Google Scholar] [CrossRef]
- Abdelbaky, M.; Peeters, J.R.; Dewulf, W. On the Influence of Second Use, Future Battery Technologies, and Battery Lifetime on the Maximum Recycled Content of Future Electric Vehicle Batteries in Europe. Waste Manag. 2021, 125, 1–9. [Google Scholar] [CrossRef] [PubMed]
- Metzger, P.; Mendonça, S.; Silva, J.A.; Damásio, B. Battery Innovation and the Circular Economy: What Are Patents Revealing? Renew. Energy 2023, 209, 516–532. [Google Scholar] [CrossRef]
- Guo, M.; Huang, W. Consumer Willingness to Recycle the Wasted Batteries of Electric Vehicles in the Era of Circular Economy. Sustainability 2023, 15, 2630. [Google Scholar] [CrossRef]
- European Parliament. CO2 Emmissions from Cars: Facts and Figures (Infographics). Available online: https://www.europarl.europa.eu/news/en/headlines/society/20190313STO31218/co2-emissions-from-cars-facts-and-figures-infographics (accessed on 12 May 2023).
- WHO. Air Pollution. 2019. Available online: https://www.who.int/sustainable-development/transport/health-risks/air-pollution/en/ (accessed on 18 May 2023).
- Hoen, A.; Nieuwenhuijse, I.; de Bruyn, S. Health Impacts and Costs of Diesel Emissions in the EU; CE Delft: Delft, The Netherlands, 2018. [Google Scholar]
- De Nazelle, A.; Bode, O.; Orjuela, J.P. Comparison of Air Pollution Exposures in Active versus Passive Travel Modes in European Cities: A Quantitative Review. Environ. Int. 2017, 99, 151–160. [Google Scholar] [CrossRef]
- WHO. Ambient (Outdoor) Air Quality and Health. 2018. Available online: https://www.who.int/en/newsroom/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health (accessed on 13 April 2023).
- Nguyen-Phuoc, D.Q.; Zhou, M.; Chua, M.H.; Alho, A.R.; Oh, S.; Seshadri, R.; Le, D.T. Examining the Effects of Automated Mobility-on-Demand Services on Public Transport Systems Using an Agent-Based Simulation Approach. Transp. Res. Part A Policy Pract. 2023, 169, 103583. [Google Scholar] [CrossRef]
- Cohen, S.A.; Hopkins, D. Autonomous Vehicles and the Future of Urban Tourism. Ann. Tourism Res. 2019, 74, 33–42. [Google Scholar] [CrossRef]
- Zhong, S.; Liu, A.; Jiang, Y.; Hu, S.; Xiao, F.; Huang, H.J.; Song, Y. Energy and environmental impacts of shared autonomous vehicles under different pricing strategies. NPJ Urban Sustain. 2023, 3, 8. [Google Scholar] [CrossRef]
- Sohrabi, S.; Khreis, H.; Lord, D. Autonomous Vehicles and Public Health: A Conceptual Model and Policy Recommendation. In Proceedings of the 99th Annual Meeting of the Transportation Research Board, Washington, DC, USA, 12–16 January 2020; Available online: https://ceprofs.civil.tamu.edu/dlord/Papers/Sohrabi_et_al_AV_Health_TRB.pdf (accessed on 1 December 2022).
- Othman, K. Exploring the Implications of Autonomous Vehicles: A Comprehensive Review. Innov. Infrastruct. Solut. 2022, 7, 165. [Google Scholar] [CrossRef]
- Luttrell, K.; Weaver, M.; Harris, M. The Effect of Autonomous Vehicles on Trauma and Health Care. J. Trauma Acute Care Surg. 2015, 79, 678–682. [Google Scholar] [CrossRef]
- Leech, J.; Whelan, G.; Bhaiji, M.; Hawes, M.; Scharring, K. Connected and Autonomous Vehicles—The UK Economic Opportunity. KPMG. 2015. Available online: https://www.smmt.co.uk/wp-content/uploads/sites/2/CRT036586F-Connected-and-Autonomous-Vehicles-%E2,80 (accessed on 29 May 2023).
- Milakis, D.; Van Arem, B.; Van Wee, B. Policy and Society Related Implications of Automated Driving: A Review of Literature and Directions for Future Research. J. Intell. Transp. Syst. 2017, 21, 324–348. [Google Scholar] [CrossRef]
- Fagnant, D.J.; Kockelman, K. Preparing a Nation for Autonomous Vehicles: Opportunities, Barriers and Policy Recommendations. Transp. Res. A 2015, 77, 167–181. [Google Scholar] [CrossRef]
- Wu, X.; Douma, F.; Cao, J.; Shepard, E. Preparing Transit in the Advent of Automated Vehicles: A Focus-Group Study in the Twin Cities. Findings 2020, 1, 387–402. [Google Scholar] [CrossRef]
- EEA. Greenhouse Gas Emissions from Transport. Available online: https://www.eea.europa.eu/ims/greenhouse-gas-emissions-from-transport (accessed on 12 May 2023).
- Basner, M.; Babisch, W.; Davis, A.; Brink, M.; Clark, C.; Janssen, S.; Stansfeld, S. Auditory and nonauditory effects of noise on health. Lancet 2014, 383, 1325–1332. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Verheijen, E.; Jabben, J. Effect of Electric Cars on Traffic Noise and Safety; RIVM Lett. Rep. 2010, 680300009/2010; National Institute for Public Health and the Environment (RIVM): Bilthoven, The Netherlands, 2010. [Google Scholar]
- Campello-Vicente, H.; Peral-Orts, R.; Campillo-Davo, N.; Velasco-Sanchez, E. The effect of electric vehicles on urban noise maps. Appl. Acoust. 2017, 116, 59–64. [Google Scholar] [CrossRef]
- Patella, S.M.; Aletta, F.; Mannini, L. Assessing the impact of Autonomous Vehicles on urban noise pollution. Noise Mapp. 2019, 6, 72–82. [Google Scholar] [CrossRef]
- Soteropoulos, A.; Berger, M.; Ciari, F. Impacts of automated vehicles on travel behavior and land use: An international review of modelling studies. Trans. Rev. 2019, 39, 29–49. [Google Scholar] [CrossRef]
- Silva, I.; Calabrese, J.M. Emerging Opportunities for Wildlife with Sustainable Autonomous Transportation; EcoEvoRxiv: Santa Barbara, CA, USA, 2021. [Google Scholar] [CrossRef]
- Dangschat, J.S.; Stickler, A. Kritische Perspektiven auf eine automatisierte und vernetzte Mobilität. In Schwerpunkt: Digitale Transformation, Jahrbuch StadtRegion 2019/2020; Hannemann, C., Othengrafen, F., Pohlan, J., Schmidt-Lauber, B., Wehrhahn, R., Güntner, S., Eds.; Springer VS: Wiesbaden, Germany, 2020; pp. 53–74. [Google Scholar] [CrossRef]
- Kitzinger, J. Qualitative Research: Introducing Focus Groups. BMJ 1995, 311, 299–302. [Google Scholar] [CrossRef] [Green Version]
- Cameron, J. Focusing on the Focus Group. Qual. Res. Methods Hum. Geogr. 2005, 2, 116–132. [Google Scholar]
- Ferrer, S.; Ruiz, T. The Impact of the Built Environment on the Decision to Walk for Short Trips: Evidence from Two Spanish Cities. Transp. Policy 2018, 67, 111–120. [Google Scholar] [CrossRef]
- Folkeson, L.; Antonson, H.; Helldin, J.O. Planners’ Views on Cumulative Effects: A Focus-Group Study Concerning Transport Infrastructure Planning in Sweden. Land Use Policy 2013, 30, 243–253. [Google Scholar] [CrossRef]
- Duboz, A.; Mourtzouchou, A.; Grosso, M.; Kolarova, V.; Cordera, R.; Nägele, S.; Maria, A.; RJette, K.; Ada, G.; Christine, E.; et al. Exploring the Acceptance of Connected and Automated Vehicles: Focus Group Discussions with Experts and Non-Experts in Transport. Transp. Res. Part F Traffic Psychol. Behav. 2022, 89, 200–221. [Google Scholar] [CrossRef]
- SAE International. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles; SAE International: Warrendale, PA, USA, 2016. [Google Scholar] [CrossRef]
- Keeling, G.; Evans, K.; Thornton, S.M.; Mecacci, G.; Santoni de Sio, F. Four Perspectives on What Matters for the Ethics of Automated Vehicles. In Road Vehicle Automation 6; Springer International Publishing: Berlin/Heidelberg, Germany, 2019; pp. 49–60. [Google Scholar]
- Dietrich, M. Addressing Inequal Risk Exposure in the Development of Automated Vehicles. Ethics Inf. Technol. 2021, 23, 727–738. [Google Scholar] [CrossRef]
- Ito, M. Consideration of the Relationship between Autonomous Vehicles and Ethics. In Proceedings of the 29th European Conference on Systems, Software and Services Process Improvement (EuroSPI 2022), Salzburg, Austria, 31 August–2 September 2022; Springer International Publishing: Cham, Switzerland, 2022; pp. 177–188. [Google Scholar]
- Borenstein, J.; Bucher, J.; Herkert, J. Ethics, Autonomous Vehicles, and the Future City. In Autonomous Vehicle Ethics: The Trolley Problem and Beyond; Oxford University Press: Oxford, UK, 2022; p. 415. [Google Scholar]
- Waltermann, J.; Henkel, S. Public Discourse on Automated Vehicles in Online Discussion Forums: A Social Constructionist Perspective. Transp. Res. Interdiscip. Perspect. 2023, 17, 100743. [Google Scholar] [CrossRef]
- Golbabaei, F.; Yigitcanlar, T.; Paz, A.; Bunker, J. Individual Predictors of Autonomous Vehicle Public Acceptance and Intention to Use: A Systematic Review of the Literature. J. Open Innov. Technol. Mark. Complex. 2020, 6, 106. [Google Scholar] [CrossRef]
- Schoitsch, E.; Schmittner, C.; Ma, Z.; Gruber, T. The Need for Safety and Cyber-Security Co-Engineering and Standardization for Highly Automated Automotive Vehicles. In Advanced Microsystems for Automotive Applications 2015: Smart Systems for Green and Automated Driving; Springer International Publishing: Cham, Switzerland, 2016; pp. 251–261. [Google Scholar]
- Khan, S.K.; Shiwakoti, N.; Stasinopoulos, P.; Warren, M. Modelling Cybersecurity Regulations for Automated Vehicles. Accid. Anal. Prev. 2023, 186, 107054. [Google Scholar] [CrossRef] [PubMed]
- Luca, O.; Gaman, F.; Răuță, E. Towards a National Harmonized Framework for Urban Plans and Strategies in Romania. Sustainability 2021, 13, 1930. [Google Scholar] [CrossRef]
- Maltese, I.; Gatta, V.; Marcucci, E. Active Travel in Sustainable Urban Mobility Plans: An Italian Overview. Res. Transp. Bus. Manag. 2021, 40, 100621. [Google Scholar] [CrossRef]
- Roca-Puigròs, M.; Marmy, C.; Wäger, P.; Müller, D.B. Modeling the Transition Toward a Zero Emission Car Fleet: Integrating Electrification, Shared Mobility, and Automation. Transp. Res. Part D Transp. Environ. 2023, 115, 103576. [Google Scholar] [CrossRef]
- Laakso, S. Giving Up Cars–The Impact of a Mobility Experiment on Carbon Emissions and Everyday Routines. J. Clean. Prod. 2017, 169, 135–142. [Google Scholar] [CrossRef] [Green Version]
- Gaman, F.; Aldea, M.; Petrescu, F.; Parlow, E.; Luca, O.; Sercaianu, M.; Iacoboaea, C. Multitemporal Image Analysis of the Green Space Dynamics: Raising Issues from the Bucharest Case Study. In Proceedings of the Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016), Paphos, Cyprus, 4–8 April 2016; Volume 9688, pp. 634–639. [Google Scholar]
- Etxandi-Santolaya, M.; Canals Casals, L.; Amante García, B.; Corchero, C. Circular Economy-Based Alternatives beyond Second-Life Applications: Maximizing the Electric Vehicle Battery First Life. World Electr. Veh. J. 2023, 14, 66. [Google Scholar] [CrossRef]
- Dalrymple, G. Minimum Sound Requirements for Hybrid and Electric Vehicles; National Highway Traffic Safety Administration: Washington, DC, USA, 2013. [Google Scholar]
- Thornton, S.M.; Pan, S.; Erlien, S.M.; Gerdes, J.C. Incorporating Ethical Considerations into Automated Vehicle Control. IEEE Trans. Intell. Transp. Syst. 2016, 18, 1429–1439. [Google Scholar] [CrossRef]
- Fossa, F.; Arrigoni, S.; Caruso, G.; Cholakkal, H.H.; Dahal, P.; Matteucci, M.; Cheli, F. Operationalizing the Ethics of Connected and Automated Vehicles: An Engineering Perspective. Int. J. Technoethics 2022, 13, 1–20. [Google Scholar] [CrossRef]
- Kim, K.; Kim, J.S.; Jeong, S.; Park, J.H.; Kim, H.K. Cybersecurity for Autonomous Vehicles: Review of Attacks and Defense. Comput. Secur. 2021, 103, 102150. [Google Scholar] [CrossRef]
Gender | Number | % |
---|---|---|
Woman | 5 | 62.5 |
Man | 3 | 37.5 |
Age | Number | % |
18–34 | 2 | 25 |
35–54 | 3 | 37.5 |
55–69 | 2 | 25 |
+70 | 1 | 12.5 |
Educational level | Number | % |
University | 3 | 37.5 |
Postgraduate | 1 | 12.5 |
Doctoral | 4 | 50 |
Feature | Participant | % |
---|---|---|
Professional profile | Urban planner Traffic engineer Traffic police representative Environmental expert Economist Public health specialist Sociologist Engineer, representative of local authority | 12.5% 12.5% 12.5% 12.5% 12.5% 12.5% 12.5% 12.5% |
Degree of knowledge about AVs | I have prior familiarity with this topic from previous exposure through reading or hearing about it I attended conferences dedicated to this topic/ I have actively conducted research and investigation into the topic/ I have published relevant work on the subject None the above | 37.5% 62.5% 0% |
1. Do you think that AVs will contribute to climate change mitigation, especially on GHG emissions? What measures will be effective in reducing impacts? 2. Do you consider that AVs can have an impact on climate change adaptation? In particular, what do you think about the potential changes in the urban structure of? What measures would be necessary in case of negative impacts? 3. How do you perceive the impact of AVs on the sustainable use and protection of water resources? What measures would be needed? 4. Do you think that AVs will be beneficial for the transition to the circular economy, including waste prevention and recycling? If not, what measures will be needed to improve the situation? 5. Do you think that the use of AVs will have an impact on air, water, and soil pollution? Please also consider noise pollution. What measures will be needed to mitigate the negative effects? 6. Imagine the impact of introducing AVs on the protection of biodiversity. Do you think that the introduction of SAE 5 vehicles will be beneficial or not for biodiversity and healthy ecosystems? What measures will be needed? 7. What do you think about the introduction of cybersecurity and ethics as components of the impact of AVs—additional question if not acknowledged by experts. |
Components of DNSH Principle | AVs Positive Impact | AVs Negative Impact |
---|---|---|
Climate mitigation | Significant reduction in emissions in an autonomous electric sharing scenario; V2I-enabled eco-driving control can result in energy use reductions of up to 40%. | Increase GHG if powered by fossil fuels; energy consumption of sensors, computing power, and communication related to CAVs can pose emerging challenges; may add more travel distance. |
Climate adaptation | Potential to reshape city structures may lead to a decrease in heat island effects; SAVs have the potential to alleviate congestion; CAVs have a positive impact on traffic efficiency and safety, particularly in rainy and snowy weather conditions. | Transportation disruptions and increased vulnerability of communities during critical times; adverse weather conditions create major issues for AV sensors; may increase the demand for transport infrastructure and urban sprawl; during the transition period, there may be increased congestion rates; adoption of AVs may create societal disparities. |
Sustainable use and protection of water and marine resources | Autonomous underwater vehicles offer innovative and cost-effective monitoring solutions for marine environments; autonomous surface vehicles can contribute to water monitoring and cleaning efforts; can facilitate the maintenance and inspection of critical infrastructure. | Any negative impact is not clearly revealed in current research. |
Circular economy, including waste prevention and recycling | Trash removal, recycling, and monitoring; business opportunities for EV battery recycling and second-use. | Demand for battery raw materials such as lithium, nickel, cobalt, copper, and graphite. |
Prevention and control of air, water and soil pollution | Air pollution is reduced if SAV systems are integrated with existing public transportation; implementation of fully automated vehicles could reduce accidents, save lives, and result in substantial economic savings, alleviating pressure on healthcare resources; used as EV can reduce noise levels. | Health impacts of AV use and ownership could be significant; safety risks for pedestrians with visual impairments; limited benefits of noise reduction at higher speeds; contribute to noise pollution and disturbance of aquatic and marine life when operating near bodies of water; construction activities associated with AV infrastructure development can disturb soil. |
Protection and restoration of biodiversity and ecosystems | Reducing wildlife–vehicle collisions; AVs equipped with advanced sensors and imaging technologies can assist in wildlife monitoring. | If AVs operate off-road or in sensitive habitats, they have the potential to disturb wildlife; extraction and processing of raw materials for AV components can include habitat destruction and pollution. |
Vision Elements on | Literature Review Pro-Active Measures | Interdisciplinary FG Members Opinions |
---|---|---|
Climate mitigation | AVs are powered by renewable energy sources integrated with electric grid. Municipality promotes educational campaigns to promote sustainable choices. Policies encouraging the deployment of renewable energy technologies have been established. AVs are integrated into a multimodal transport network, encouraging active mobility. | Experts emphasize the significance of integrating AVs into public and shared transportation systems, promoting the use of electric vehicles, and creating incentives for adopting sustainable transportation modes. It is crucial to implement education and awareness programs, along with incorporating AVs into comprehensive climate action plans. |
Climate adaptation | Backup systems, redundant communication channels, and redundant power sources are in place. Advancements in technology, such as satellite monitoring, infrastructure integration, and mobile control centers, help overcome these challenges and improve collision avoidance. | Experts stress the importance of incorporating climate resilience into the design of AV infrastructure and systems. This includes considering intelligent routing strategies to navigate extreme weather events, promoting the replacement of grey infrastructure with green alternatives, upgrading existing infrastructure, and fostering dialogue and knowledge sharing. Additionally, it is crucial to address the potential negative impacts on public health, such as mental health issues and sedentary lifestyles, by implementing innovative measures to mitigate these effects. |
Water Resources | AVs are used as monitoring and cleaning solutions for water environments. They maintain and inspect critical water-related infrastructure. | The experts outlined the potential to improve the quality of water resources and identified no negative impacts. |
Circular Economy and Waste Management | Circular economy approach is promoted by battery recycling programs; EPR programs are implemented; research supports developing alternative battery chemistries; and efficient and scalable recycling infrastructure. | Experts highlight the need for EPR programs, investments in the development and expansion of recycling infrastructure, fostering partnerships with recycling industries, raising awareness, and policies and regulations. |
Pollution prevention | Environmentally friendly materials for batteries; artificial warning sounds are installed for electric AVs, especially for pedestrians with visual impairments. Noise-absorbing road surfaces are introduced. SAEVs are integrated with public transport. Guidelines for proper disposal are developed, minimizing the risk of water pollution. | Experts underline the importance of reducing dependence on personal vehicles, ensuring proper disposal and manipulation of dangerous materials, and adopting a holistic approach. In addition, they stress the need to incorporate noise reduction technologies into autonomous vehicle components. |
Biodiversity and healthy ecosystems | Ecological sensitivity mapping; lower speed limits; and AVs equipped with sensors and advanced algorithms prioritizing wildlife presence. | Experts highlight the need for incorporating green infrastructure elements that support healthy ecosystems, improving public transport, and investing in multimodal infrastructure. |
Ethics and cybersecurity | Transparent and accountable ethical framework, robust cybersecurity protocols, and privacy protection mechanisms. | Key components to ensure responsible and safe deployment of automated vehicles |
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Luca, O.; Andrei, L.; Iacoboaea, C.; Gaman, F. Unveiling the Hidden Effects of Automated Vehicles on “Do No Significant Harm” Components. Sustainability 2023, 15, 11265. https://doi.org/10.3390/su151411265
Luca O, Andrei L, Iacoboaea C, Gaman F. Unveiling the Hidden Effects of Automated Vehicles on “Do No Significant Harm” Components. Sustainability. 2023; 15(14):11265. https://doi.org/10.3390/su151411265
Chicago/Turabian StyleLuca, Oana, Liliana Andrei, Cristina Iacoboaea, and Florian Gaman. 2023. "Unveiling the Hidden Effects of Automated Vehicles on “Do No Significant Harm” Components" Sustainability 15, no. 14: 11265. https://doi.org/10.3390/su151411265
APA StyleLuca, O., Andrei, L., Iacoboaea, C., & Gaman, F. (2023). Unveiling the Hidden Effects of Automated Vehicles on “Do No Significant Harm” Components. Sustainability, 15(14), 11265. https://doi.org/10.3390/su151411265