New Paradigm of Sustainable Urban Mobility: Electric and Autonomous Vehicles—A Review and Bibliometric Analysis
Open accessAbstract
The growing relevance of sustainability, as well as the necessity to replace traditional forms of transportation with sustainable ones, has made sustainable urban mobility an imperative. In order to respond to the ever-increasing need to develop sustainable modes of transport, the importance of electric, autonomous, and electric autonomous vehicles is increasingly emphasized. In addition, as trends of growth and development in electric autonomous vehicle technology are increasing, one of the questions that has appeared is whether autonomous electric vehicles represent one of the mechanisms that will be used to increase the sustainability of urban mobility. With this in mind, the results of a systematic analysis of existing research in the WOS and Scopus databases using the keywords “urban mobility”, “electric vehicles”, and “autonomous vehicles” was carried out to identify research trends in the use of autonomous electric vehicles in urban areas. The research showed that authors focus on the advantages and disadvantages of autonomous electric vehicles and their usage in the urban mobility system, but an insufficient number of authors consider and define the need to plan the transition towards incorporating autonomous electric vehicles into the urban system. The results of this research also indicate an insufficient number of papers that research and describe the application of autonomous electric vehicles in distribution logistics. This paper provides an overview of existing research related to autonomous electric vehicles and the challenges of transition in the context of infrastructure and the development of a culture of sustainability among urban residents.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The system of electric AVs can reduce journey time, free up parking in urban areas, and generate cost benefits for customers.
“The system of electric AVs can reduce journey time, free up parking in urban areas, and generate cost benefits for customers [43][44][45].”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [45]
The Introduction (section 1; page unavailable) says autonomous public transport can lower costs, and the Citation Analysis (section 4.6; page unavailable) reports reduced vehicle-ownership costs from sharing autonomous electric vehicles. The latter discusses using time in the car differently, not shortening journeys. The parking passages in Sustainable Urban Mobility (section 2.1; page unavailable) describe policies to reduce parking spaces, not electric AVs freeing them up. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Part of this paper’s reference list could not be split into single entries.
The role of renewable energy in the global energy transformation
Gielen, D., Boshell, F., Saygin, D., Bazilian, M. D., Wagner, N., & Gorini, R. (2019) · Energy Strategy Reviews · doi:10.1016/j.esr.2019.01.006 · Cited by 4,973 · see citing works
Shared autonomous vehicle services: A comprehensive review
Narayanan, S., Chaniotakis, E., & Antoniou, C. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2019.12.008 · Cited by 691 · see citing works
Garrow, L. A., German, B. J., & Leonard, C. E. (2021) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2021.103377 · Cited by 488 · see citing works
Flagged first, then by citations
Research works printed but not linked: 100
- Buhaug, H.; Urdal, H. An urbanization bomb? Population growth and social disorder in cities. Glob. Environ. Chang. 2013, 23, 1-10. [CrossRef] · DOI
- Cengiz, S.; Görmüş, S.; O guz, D. Analysis of the urban growth pattern through spatial metrics; Ankara City. Land Use Policy 2022, 112, 105812. [CrossRef] · DOI
- Leroutier, M.; Quirion, P. Air pollution and CO 2 from daily mobility: Who emits and Why? Evidence from Paris. Energy Econ. 2022, 109, 105941. [CrossRef] · DOI
- Wei, H.; Wang, X.; Yao, Z.; Liu, H.; Liang, S.; Yang, Y.J. Framework for integrating traffic-source emission estimates into sustainability analysis. CICTP 2012 Multimodal Transp. Syst. Conv. Safe Cost Eff. Effic. 2012, 3612-3619. [CrossRef] · DOI
- Baghestani, A.; Tayarani, M.; Allahviranloo, M.; Gao, H.O. Cordon Pricing, Daily Activity Pattern, and Exposure to Traffic-Related Air Pollution: A Case Study of New York City. Atmosphere 2021, 12, 1458. [CrossRef] · DOI
- Caban, J. The investigation of eco-driving possibilities in passenger car used in urban traffic. Transp. Res. Procedia 2021, 55, 212-219. [CrossRef] · DOI
- Cheng, Y.H.; Chang, Y.H.; Lu, I.J. Urban transportation energy and carbon dioxide emission reduction strategies. Appl. Energy 2015, 157, 953-973. [CrossRef] · DOI
- Hofer, C.; Jäger, G.; Füllsack, M. Large scale simulation of CO 2 emissions caused by urban car traffic: An agent-based network approach. J. Clean. Prod. 2018, 183, 1-10. [CrossRef] · DOI
- Zhang, Z.; Zeng, Y.; Zheng, N.; Luo, L.; Xiao, H.; Xiao, H. Fossil fuel-related emissions were the major source of NH3 pollution in urban cities of northern China in the autumn of 2017. Environ. Pollut. 2020, 256, 113428. [CrossRef] · DOI
- Chirinos, L.; Rose, N.L.; Urrutia, R.; Munoz, P.; Torrejón, F.; Torres, L.; Zaror, C. Environmental evidence of fossil fuel pollution in Laguna Chica de San Pedro lake sediments (Central Chile). Environ. Pollut. 2006, 141, 247-256. [CrossRef] · DOI
- Sarwar, S.; Chen, W.; Waheed, R. Electricity consumption, oil price and economic growth: Global perspective. Renew. Sustain. Energy Rev. 2017, 76, 9-18. [CrossRef] · DOI
- Giannetti, B.F.; Agostinho, F.; Almeida, C.M.; Liu, G.; Contreras, L.E.; Vandecasteele, C.; Poveda, C. Insights on the United Nations Sustainable Development Goals scope: Are they aligned with a 'strong'sustainable development? J. Clean. Prod. 2020, 252, 119574. [CrossRef] · DOI
- Harlan, S.L.; Ruddell, D.M. Climate change and health in cities: Impacts of heat and air pollution and potential co-benefits from mitigation and adaptation. Curr. Opin. Environ. Sustain. 2011, 3, 126-134. [CrossRef] · DOI
- Mora, L.; Deakin, M.; Reid, A. Strategic principles for smart city development: A multiple case study analysis of European best practices. Technol. Forecast. Soc. Chang. 2019, 142, 70-97. [CrossRef] · DOI
- Raghuvanshi, A.; Singh, U.K. Internet of Things for smart cities-security issues and challenges. Mater. Today Proc. 2020. [CrossRef] · DOI
- Alavi, A.H.; Jiao, P.; Buttlar, W.G.; Lajnef, N. Internet of Things-enabled smart cities: State-of-the-art and future trends. Measure- ment 2018, 129, 589-606. [CrossRef] · DOI
- Ahad, M.A.; Paiva, S.; Tripathi, G.; Feroz, N. Enabling technologies and sustainable smart cities. Sustain. Cities Soc. 2020, 61, 102301. [CrossRef] · DOI
- Tsai, C.W.; Lai, C.F.; Vasilakos, A.V. Future internet of things: Open issues and challenges. Wirel. Netw. 2014, 20, 2201-2217. [CrossRef] · DOI
- Quinteros-Condoretty, A.R.; Golroudbary, S.R.; Albareda, L.; Barbiellini, B.; Soyer, A. Impact of circular design of lithium-ion batteries on supply of lithium for electric cars towards a sustainable mobility and energy transition. Procedia CIRP 2021, 100, 73-78. [CrossRef] · DOI
- Meschik, M. Reshaping city traffic towards sustainability why transport policy should favor the bicycle instead of car traffic. Procedia Soc. Behav. Sci. 2012, 48, 495-504. [CrossRef] · DOI
- Mozos-Blanco, M.Á.; Pozo-Menéndez, E.; Arce-Ruiz, R.; Baucells-Aletà, N. The way to sustainable mobility. A comparative analysis of sustainable mobility plans in Spain. Transp. Policy 2018, 72, 45-54. [CrossRef] · DOI
- Hamidi, Z.; Zhao, C. Shaping sustainable travel behaviour: Attitude, skills, and access all matter. Transp. Res. Part D Transp. Environ. 2020, 88, 102566. [CrossRef] · DOI
- Pribyl, O.; Blokpoel, R.; Matowicki, M. Addressing EU climate targets: Reducing CO 2 emissions using cooperative and automated vehicles. Transp. Res. Part D Transp. Environ. 2020, 86, 102437. [CrossRef] · DOI · Paper page
- Huovila, A.; Siikavirta, H.; Rozado, C.A.; Rökman, J.; Tuominen, P.; Paiho, S.; Ylén, P. Carbon-neutral cities: Critical review of theory and practice. J. Clean. Prod. 2022, 341, 130912. [CrossRef] · DOI
- Amatuni, L.; Ottelin, J.; Steubing, B.; Mogollón, J.M. Does car sharing reduce greenhouse gas emissions? Assessing the modal shift and lifetime shift rebound effects from a life cycle perspective. J. Clean. Prod. 2020, 266, 121869. [CrossRef] · DOI
- Tikoudis, I.; Martinez, L.; Farrow, K.; Bouyssou, C.G.; Petrik, O.; Oueslati, W. Ridesharing services and urban transport CO 2 emissions: Simulation-based evidence from 247 cities. Transp. Res. Part D Transp. Environ. 2021, 97, 102923. [CrossRef] · DOI
- Zappa, W.; Junginger, M.; Van Den Broek, M. Is a 100% renewable European power system feasible by 2050? Appl. Energy 2019, 233, 1027-1050. [CrossRef] · DOI
- Liu, Y.; Zhang, R.; Wang, J.; Wang, Y. Current and future lithium-ion battery manufacturing. IScience 2021, 24, 102332. [CrossRef] · DOI
- Väyrynen, A.; Salminen, J. Lithium ion battery production. J. Chem. Thermodyn. 2012, 46, 80-85. [CrossRef] · DOI
- Martins, L.S.; Guimarães, L.F.; Junior, A.B.B.; Tenório, J.A.S.; Espinosa, D.C.R. Electric car battery: An overview on global demand, recycling and future approaches towards sustainability. J. Environ. Manag. 2021, 295, 113091. [CrossRef] [PubMed] · DOI · Paper page
- Lai, X.; Chen, Q.; Tang, X.; Zhou, Y.; Gao, F.; Guo, Y.; Zheng, Y. Critical review of life cycle assessment of lithium-ion batteries for electric vehicles: A lifespan perspective. Etransportation 2022, 12, 100169. [CrossRef] · DOI · Paper page
- Costa, E.; Wells, P.; Wang, L.; Costa, G. The electric vehicle and renewable energy: Changes in boundary conditions that enhance business model innovations. J. Clean. Prod. 2022, 333, 130034. [CrossRef] · DOI
- Bogdanov, D.; Ram, M.; Aghahosseini, A.; Gulagi, A.; Oyewo, A.S.; Child, M.; Breyer, C. Low-cost renewable electricity as the key driver of the global energy transition towards sustainability. Energy 2021, 227, 120467. [CrossRef] · DOI
- Yang, X.H.; Cheng, Z.; Chen, G.; Wang, L.; Ruan, Z.Y.; Zheng, Y.J. The impact of a public bicycle-sharing system on urban public transport networks. Transp. Res. Part A Policy Pract. 2018, 107, 246-256. [CrossRef] · DOI
- Podgórniak-Krzykacz, A.; Trippner-Hrabi, J. Motives and factors that determine city residents' use of public bicycles. The case of Lodz, Poland. Case Stud. Transp. Policy 2021, 9, 651-662. [CrossRef] · DOI
- Tuominen, A.; Sundqvist-Andberg, H.; Aittasalo, M.; Silonsaari, J.; Kiviluoto, K.; Tapio, P. Building transformative capacity towards active sustainable transport in urban areas-Experiences from local actions in Finland. Case Stud. Transp. Policy 2022, 10, 1034-1044. [CrossRef] · DOI
- Maltese, I.; Gatta, V.; Marcucci, E. Active travel in sustainable urban mobility plans. An Italian overview. Res. Transp. Bus. Manag. 2021, 40, 100621. [CrossRef] · DOI
- Arsenio, E.; Martens, K.; Di Ciommo, F. Sustainable urban mobility plans: Bridging climate change and equity targets? Res. Transp. Econ. 2016, 55, 30-39. [CrossRef] · DOI
- Foltýnová, H.B.; Vejchodská, E.; Rybová, K.; Květo ň, V. Sustainable urban mobility: One definition, different stakeholders' opinions. Transp. Res. Part D Transp. Environ. 2020, 87, 102465. [CrossRef] · DOI
- Lam, D.; Head, P. Sustainable urban mobility. Energy Transp. Environ. 2012, 359-371. [CrossRef] · DOI
- Perra, V.M.; Sdoukopoulos, A.; Pitsiava-Latinopoulou, M. Evaluation of sustainable urban mobility in the city of Thessaloniki. Transp. Res. Procedia 2017, 24, 329-336. [CrossRef] · DOI
- López, R.A.; Sánchez, T.R.; Aicart, L.M. Attitudes towards the environment related to travel and personal mobility. Transp. Res. Procedia 2021, 58, 201-208. [CrossRef] · DOI
- Kuss, P.; Nicholas, K.A. A dozen effective interventions to reduce car use in European cities: Lessons learned from a meta-analysis and Transition Management. Case Stud. Transp. Policy 2022. [CrossRef] · DOI
- Ostermeijer, F.; Koster, H.; Nunes, L.; van Ommeren, J. Citywide parking policy and traffic: Evidence from Amsterdam. J. Urban Econ. 2022, 128, 103418. [CrossRef] · DOI
- Herath, H.M.K.K.M.B.; Mittal, M. Adoption of artificial intelligence in smart cities: A comprehensive review. Int. J. Inf. Manag. Data Insights 2020, 2, 100076. [CrossRef] · DOI
- Patier, D.; Routhier, J.L. Urban Logistics in the light of sustainable development: Still a long way to go. Transp. Res. Procedia 2020, 46, 93-100. [CrossRef] · DOI
- Tsavachidis, M.; Le Petit, Y. Re-shaping urban mobility-Key to Europe's green transition. J. Urban Mobil. 2022, 2, 100014. [CrossRef] · DOI
- Gevaers, R.; Van de Voorde, E.; Vanelslander, T. Cost modelling and simulation of last-mile characteristics in an innovative B2C supply chain environment with implications on urban areas and cities. Procedia Soc. Behav. Sci. 2014, 125, 398-411. [CrossRef] · DOI
- Ehrler, V.; Hebes, P. Electromobility for city logistics-The solution to urban transport collapse? An analysis beyond theory. Procedia Soc. Behav. Sci. 2012, 48, 786-795. [CrossRef] · DOI
- Strale, M. Sustainable urban logistics: What are we talking about? Transp. Res. Part A Policy Pract. 2019, 130, 745-751. [CrossRef] · DOI
- Ghandi, A.; Paltsev, S. Global CO 2 impacts of light-duty electric vehicles. Transp. Res. Part D Transp. Environ. 2020, 87, 102524. [CrossRef] · DOI
- Xu, B.; Sharif, A.; Shahbaz, M.; Dong, K. Have electric vehicles effectively addressed CO 2 emissions? Analysis of eight leading countries using quantile-on-quantile regression approach. Sustain. Prod. Consum. 2021, 27, 1205-1214. [CrossRef] · DOI
- Van Vliet, O.; Brouwer, A.S.; Kuramochi, T.; van Den Broek, M.; Faaij, A. Energy use, cost and CO 2 emissions of electric cars. J. Power Sources 2011, 196, 2298-2310. [CrossRef] · DOI · Paper page
- Wang, L.; Wang, X.; Yang, W. Optimal design of electric vehicle battery recycling network-From the perspective of electric vehicle manufacturers. Appl. Energy 2020, 275, 115328. [CrossRef] · DOI · Paper page
- Kucukvar, M.; Onat, N.C.; Kutty, A.A.; Abdella, G.M.; Bulak, M.E.; Ansari, F.; Kumbaroglu, G. Environmental efficiency of electric vehicles in Europe under various electricity production mix scenarios. J. Clean. Prod. 2022, 335, 130291. [CrossRef] · DOI
- Ondruš, J.; Kolla, E.; Vertal', P.; Šarić, Ž. How do autonomous cars work? Transp. Res. Procedia 2020, 44, 226-233. [CrossRef] · DOI
- Zhao, G.; Wang, X.; Negnevitsky, M. Connecting battery technologies for electric vehicles from battery materials to management. Iscience 2022, 25, 103744. [CrossRef] · DOI
- 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. [CrossRef] · DOI
- Di, X.; Shi, R. A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning. Transp. Res. Part C Emerg. Technol. 2021, 125, 103008. [CrossRef] · DOI
- Hengstler, M.; Enkel, E.; Duelli, S. Applied artificial intelligence and trust-The case of autonomous vehicles and medical assistance devices. Technol. Forecast. Soc. Chang. 2016, 105, 105-120. [CrossRef] · DOI · Paper page
- Bruck, B.P.; Incerti, V.; Iori, M.; Vignoli, M. Minimizing CO 2 emissions in a practical daily carpooling problem. Comput. Oper. Res. 2017, 81, 40-50. [CrossRef] · DOI
- Soni, S.; Reddy, N.; Tsapi, A.; van Arem, B.; Farah, H. Behavioral adaptations of human drivers interacting with automated vehicles. Transp. Res. Part F Traffic Psychol. Behav. 2022, 86, 48-64. [CrossRef] · DOI
- Rezaei, A.; Caulfield, B. Safety of autonomous vehicles: What are the insights from experienced industry professionals? Transp. Res. Part F Traffic Psychol. Behav. 2021, 81, 472-489. [CrossRef] · DOI
- Pal, A.; Bhattacharya, A.; Chakraborty, A.K. Allocation of electric vehicle charging station considering uncertainties. Sustain. Energy Grids Netw. 2021, 25, 100422. [CrossRef] · DOI
- Ghasemi-Marzbali, A. Fast-charging station for electric vehicles, challenges and issues: A comprehensive review. J. Energy Storage 2022, 49, 104136. [CrossRef] · DOI
- Gnann, T.; Funke, S.; Jakobsson, N.; Plötz, P.; Sprei, F.; Bennehag, A. Fast charging infrastructure for electric vehicles: Today's situation and future needs. Transp. Res. Part D Transp. Environ. 2018, 62, 314-329. [CrossRef] · DOI
- Simsek, M.; Boukerche, A.; Kantarci, B.; Khan, S. AI-driven autonomous vehicles as COVID-19 assessment centers: A novel crowdsensing-enabled strategy. Pervasive Mob. Comput. 2021, 75, 101426. [CrossRef] · DOI
- Wang, J.; Huang, H.; Li, K.; Li, J. Towards the unified principles for level 5 autonomous vehicles. Engineering 2021, 7, 1313-1325. [CrossRef] · DOI
- Badue, C.; Guidolini, R.; Carneiro, R.V.; Azevedo, P.; Cardoso, V.B.; Forechi, A.; De Souza, A.F. Self-driving cars: A survey. Expert Syst. Appl. 2021, 165, 113816. [CrossRef] · DOI
- Kutela, B.; Das, S.; Dadashova, B. Mining patterns of autonomous vehicle crashes involving vulnerable road users to understand the associated factors. Accid. Anal. Prev. 2022, 165, 106473. [CrossRef] [PubMed] · DOI
- Anastasiadou, K. Sustainable mobility driven prioritization of new vehicle technologies, based on a new decision-aiding methodology. Sustainability 2021, 13, 4760. [CrossRef] · DOI
- 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. [CrossRef] · DOI
- Gruel, W.; Stanford, J.M. Assessing the long-term effects of autonomous vehicles: A speculative approach. Transp. Res. Procedia 2016, 13, 18-29. [CrossRef] · DOI · Paper page
- Costa, C.M.; Barbosa, J.C.; Castro, H.; Gonçalves, R.; Lanceros-Méndez, S. Electric vehicles: To what extent are environmentally friendly and cost effective?-Comparative study by european countries. Renew. Sustain. Energy Rev. 2021, 151, 111548. [CrossRef] · DOI
- Müller, J.M. Comparing technology acceptance for autonomous vehicles, battery electric vehicles, and car sharing-A study across Europe, China, and North America. Sustainability 2019, 11, 4333. [CrossRef] · DOI
- Makarova, I.; Mukhametdinov, E.; Tsybunov, E. Management of the reliability of intelligent vehicles as a method to improve traffic safety. Transp. Res. Procedia 2018, 36, 465-471. [CrossRef] · DOI
- Asvadi, A.; Premebida, C.; Peixoto, P.; Nunes, U. 3D Lidar-based static and moving obstacle detection in driving environments: An approach based on voxels and multi-region ground planes. Robot. Auton. Syst. 2016, 83, 299-311. [CrossRef] · DOI
- Pendleton, S.D.; Andersen, H.; Du, X.; Shen, X.; Meghjani, M.; Eng, Y.H.; Ang, M.H., Jr. Perception, planning, control, and coordination for autonomous vehicles. Machines 2017, 5, 6. [CrossRef] · DOI · Paper page
- Mounce, R.; Nelson, J.D. On the potential for one-way electric vehicle car-sharing in future mobility systems. Transp. Res. Part A Policy Pract. 2019, 120, 17-30. [CrossRef] · DOI
- Nikitas, A.; Kougias, I.; Alyavina, E.; Njoya Tchouamou, E. How can autonomous and connected vehicles, electromobility, BRT, hyperloop, shared use mobility and mobility-as-a-service shape transport futures for the context of smart cities? Urban Sci. 2017, 1, 36. [CrossRef] · DOI
- Pustišek, M.; Kos, A.; Sedlar, U. Blockchain based autonomous selection of electric vehicle charging station. In Proceedings of the 2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), Beijing, China, 10 July 2016; IEEE: Piscataway, NJ, USA, 2016; pp. 217-222. [CrossRef] · DOI · Paper page
- Philip, B.V.; Alpcan, T.; Jin, J.; Palaniswami, M. Distributed real-time IoT for autonomous vehicles. IEEE Trans. Ind. Inform. 2018, 15, 1131-1140. [CrossRef] · DOI
- Marletto, G. Who will drive the transition to self-driving? A socio-technical analysis of the future impact of automated vehicles. Technol. Forecast. Soc. Chang. 2019, 139, 221-234. [CrossRef] · DOI
- Acheampong, R.A.; Cugurullo, F.; Gueriau, M.; Dusparic, I. Can autonomous vehicles enable sustainable mobility in future cities? Insights and policy challenges from user preferences over different urban transport options. Cities 2021, 112, 103134. [CrossRef] · DOI
- Golbabaei, F.; Yigitcanlar, T.; Bunker, J. The role of shared autonomous vehicle systems in delivering smart urban mobility: A systematic review of the literature. Int. J. Sustain. Transp. 2021, 15, 731-748. [CrossRef] · DOI
- Butler, L.; Yigitcanlar, T.; Paz, A. Smart urban mobility innovations: A comprehensive review and evaluation. Ieee Access 2020, 8, 196034-196049. [CrossRef] · DOI
- Vosooghi, R.; Puchinger, J.; Bischoff, J.; Jankovic, M.; Vouillon, A. Shared autonomous electric vehicle service performance: Assessing the impact of charging infrastructure. Transp. Res. Part D Transp. Environ. 2020, 81, 102283. [CrossRef] · DOI
- Patella, S.M.; Scrucca, F.; Asdrubali, F.; Carrese, S. Carbon Footprint of autonomous vehicles at the urban mobility system level: A traffic simulation-based approach. Transp. Res. Part D Transp. Environ. 2019, 74, 189-200. [CrossRef] · DOI
- Nemoto, E.H.; Issaoui, R.; Korbee, D.; Jaroudi, I.; Fournier, G. How to measure the impacts of shared automated electric vehicles on urban mobility. Transp. Res. Part D Transp. Environ. 2021, 93, 102766. [CrossRef] · DOI
- Zhao, L.; Malikopoulos, A.A. Enhanced mobility with connectivity and automation: A review of shared autonomous vehicle systems. IEEE Intell. Transp. Syst. Mag. 2020, 14, 87-102. [CrossRef] · DOI · Paper page
- Miskolczi, M.; Földes, D.; Munkácsy, A.; Jászberényi, M. Urban mobility scenarios until the 2030s. Sustain. Cities Soc. 2021, 72, 103029. [CrossRef] · DOI
- Brown, A.; Harris, W.L. Vehicle design and optimization model for urban air mobility. J. Aircr. 2020, 57, 1003-1013. [CrossRef] · DOI
- Fagnant, D.J.; Kockelman, K. Preparing a nation for autonomous vehicles: Opportunities, barriers and policy recommendations. Transp. Res. Part A Policy Pract. 2015, 77, 167-181. [CrossRef] · DOI · Paper page
- Krueger, R.; Rashidi, T.H.; Rose, J.M. Preferences for shared autonomous vehicles. Transp. Res. Part C Emerg. Technol. 2016, 69, 343-355. [CrossRef] · DOI · Paper page
- Chen, T.D.; Kockelman, K.M.; Hanna, J.P. Operations of a shared, autonomous, electric vehicle fleet: Implications of vehicle & charging infrastructure decisions. Transp. Res. Part A Policy Pract. 2016, 94, 243-254. [CrossRef] · DOI · Paper page
- 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. [CrossRef] 100. Litman, T. Autonomous vehicle implementation predictions: Implications for transport planning. Vic. Transp. Policy Institute. 2020. Available online: https://www.vtpi.org/avip.pdf (accessed on 14 July 2022). 101. · DOI · Paper page
- Fagnant, D.J.; Kockelman, K.M. The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios. Transp. Res. Part C Emerg. Technol. 2020, 40, 1-13. [CrossRef] 102. Martinez, L.M.; Viegas, J.M. Assessing the impacts of deploying a shared self-driving urban mobility system: An agent-based model applied to the city of Lisbon, Portugal. Int. J. Transp. Sci. Technol. 2017, 6, 13-27. [CrossRef] 103. · DOI · Paper page
- Loeb, B.; Kockelman, K.M.; Liu, J. Shared autonomous electric vehicle (SAEV) operations across the Austin, Texas network with charging infrastructure decisions. Transp. Res. Part C Emerg. Technol. 2018, 89, 222-233. [CrossRef] 104. Gurumurthy, K.M.; Kockelman, K.M. Analyzing the dynamic ride-sharing potential for shared autonomous vehicle fleets using cellphone data from Orlando, Florida. Comput. Environ. Urban Syst. 2018, 71, 177-185. [CrossRef] 105. Chen, B.; Sun, D.; Zhou, J.; Wong, W.; Ding, Z. A future intelligent traffic system with mixed autonomous vehicles and human-driven vehicles. Inf. Sci. 2020, 529, 59-72. [CrossRef] 106. Guo, Y.; Chen, X.; Yang, Y. Multimodal transport distribution model for autonomous driving vehicles based on improved ALNS. Alex. Eng. J. 2022, 61, 2939-2958. [CrossRef] 107. · DOI
- Völz, V.; Mattfeld, D.C.; Scherr, Y.O. Relocation planning with partly autonomous vehicles in car sharing systems. Transp. Res. Procedia 2022, 62, 213-220. [CrossRef] 108. Martínez-Díaz, M.; Soriguera, F. Autonomous vehicles: Theoretical and practical challenges. Transp. Res. Procedia 2018, 33, 275-282. [CrossRef] 109. Chen, Y.; Shiwakoti, N.; Stasinopoulos, P.; Khan, S.K. State-of-the-art of factors affecting the adoption of automated vehicles. Sustainability 2022, 14, 6697. [CrossRef] 110. Le Pira, M.; Ignaccolo, M.; Inturri, G.; Pluchino, A.; Rapisarda, A. Modelling stakeholder participation in transport planning. Case Stud. Transp. Policy 2016, 4, 230-238. [CrossRef] 111. Lindenau, M.; Böhler-Baedeker, S. Citizen and stakeholder involvement: A precondition for sustainable urban mobility. Transp. Res. Procedia 2014, 4, 347-360. [CrossRef] 112. Lozano, D.L.A.; Márquez, S.E.D.; Puentes, M.E.M. Sustainable and smart mobility evaluation since citizen participation in responsive cities. Transp. Res. Procedia 2021, 58, 519-526. [CrossRef] 113. Lindkvist, H.; Melander, L. How sustainable are urban transport services? A comparison of MaaS and UCC. Res. Transp. Bus. Manag. 2022, 43, 100829. [CrossRef] 114. Jiang, X.; Zhao, L.; Cheng, Y.; Wei, S.; Jin, Y. Optimal configuration of electric vehicles for charging stations under the fast power supplement mode. J. Energy Storage 2022, 45, 103677. [CrossRef] 115. Dulău, L.I.; Bică, D. Effects of electric vehicles on power networks. Procedia Manuf. 2020, 46, 370-377. [CrossRef] 116. Ferreira, M.; Damas, L.; Conceicao, H.; · DOI
- Köse, M.Ç.; Steingrímsson, J.G.; Schmid, J.; van Veldhuizen, R.; Kübler, D.; Seliger, G. Sustainable urban mobility through the perspective of overcompliance. Procedia CIRP 2016, 40, 312-317. [CrossRef] 141. Decker, B.; Hećimović, H.; Wołek, M. Sustainable urban mobility planning in central eastern Europe: Case examples from Poland and Croatia. Procedia Soc. Behav. Sci. 2012, 48, 2748-2757. [CrossRef] · DOI
Cited by
Sorted by citations
Orieno, O. H., Ndubuisi, N. L., Ilojianya, V. I., Biu, P. W., & Odonkor, B. (2024) · Engineering Science & Technology Journal · doi:10.51594/estj.v5i1.721 · Cited by 75 · see citing works
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 · see citing works
- Authors
- Kovačić, M., Mutavdžija, M., & Buntak, K.
- Affiliations
- University North (HR)
- Department of Sustainable Mobility and Logistics, University North, Trg dr. Žarka Dolinara 1, 48000 Koprivnica, Croatia
- Corresponding author
- Kovačić, Matija
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2022-08-03
- Volume
- 14
- Issue
- 15
- Pages
- 9525
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W4289731386
- Cited by
- 84
- References
- 3
- Citations by year
- 2026: 12 · 2025: 35 · 2024: 18 · 2023: 16 · 2022: 3
- FWCI
- 4.92
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- University North, Republic of Croatia
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Social Sciences › Transportation › transportation and logistics systems
- Keywords
- sustainable urban mobility, autonomous electric vehicles, electric vehicles, autonomous vehicles, research trends, transition planning, distribution logistics, infrastructure, sustainability culture, bibliometric analysis
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review