The DOI matches its Crossref record; 225 of the 225 references it cites were found in a registry or an index.
Urban air mobility: A comprehensive review and comparative analysis with autonomous and electric ground transportation for informing future research
Open accessAbstract
Urban air mobility (UAM), if successful, will disrupt urban transportation. UAM is not the first disruptive technology in transportation, with recent examples including electric ground vehicles (EVs), autonomous ground vehicles (AVs), and sharing services. In this paper, we conduct a meta-analysis of about 800 articles in the UAM, EV, and AV areas that have been published from January 2015 to June 2020, and compare and contrast research thrusts in order to inform future UAM research. Alongside this effort, we conduct an in-depth review of articles related to demand modeling, operations, and integration with existing infrastructure. We use insights from the meta-analysis and comprehensive review to inform future UAM research directions. Some of the potential research directions we identify include: (1) developing more refined demand models that incorporate the timing of when individuals will adopt UAM; (2) developing high-fidelity simulation models for UAM operations that capture interactions among vertiport locations, vertiport topology, demand, pricing, dispatching, and airspace restrictions; (3) explicitly considering one-way demand and parking constraints in demand and operational models; and (4) developing more realistic time-of-day energy profiles for UAM vehicles in order to assess whether the current electrical grid can support UAM operations.
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“Furthermore, the value of trip time for AVs will potentially decrease significantly, as individuals will be more productive in AVs [55].”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [55]
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“Due to the lack of legislation, autonomous vehicle deployment and operation require some form of regulation [55,64,65].”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [55]
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Citations
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
Valente, T. W. (2003) · Genetics in Medicine · doi:10.1097/01.gim.0000061743.67794.c4 · Cited by 20,559
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057
Action control : from cognition to behavior
Kühl, J., & Beckmann, J. (1985) · Cited by 3,444
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
Advances in consumer electric vehicle adoption research: a review and research agenda
Rezvani, Z., Jansson, J., & Bodin, J. (2015) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2014.10.010 · Cited by 1,301
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
A review of consumer preferences of and interactions with electric vehicle charging infrastructure
Hardman, S., Jenn, A. T., Tal, G., Axsen, J., Beard, G. F., Daina, N., Figenbaum, E., Jakobsson, N., Jochem, P. E. P., Kinnear, N., et al. (2018) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2018.04.002 · Cited by 933
The roles of initial trust and perceived risk in public’s acceptance of automated vehicles
Zhang, T., Tao, D., Qu, X., Zhang, X. Y., Lin, R., & Zhang, W. (2018) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2018.11.018 · Cited by 900
Research works printed but not linked: 6
- Dietrich, A., Wulff, Y., 2020. Urban air mobility: Adding the third dimension to urban and regional transportation. Presentation for: An Introduction to Urban Air Mobility for State and Local Decision Makers: A Virtual Workshop, sponsored by the Community Air Mobility Initiative (CAMI). Available online at https://www.communityairmobility.org/uam101.
- Porsche Consulting, 2018. The Future of Vertical Mobility. A Porsche Consulting Study, March. Available online at: https://www.porsche-consulting.com/us-en/press/insights/detail/study-the-future-of-vertical-mobility-1/. Accessed September 2, 2020.
- Sherman, J., 2020. eVTOLS – What are they? Presentation for: An Introduction to Urban Air Mobility for State and Local Decision Makers: A virtual workshop sponsored by the Community Air Mobility Initiative (CAMI). Available online at https://www.communityairmobility.org/uam101.
- Song, F., Hess, S., Dekker, T., 2019. Fancy sharing an air taxi? Uncovering the impact of variety seeking on the demand for new shared mobility services. Working paper, Institute for Transport Studies, University of Leeds. Available online at https://pdfs.semanticscholar.org/73a1/fd6f648e9ea3b1223d757b15ae2713d18adb.pdf?_ga=2.227001565.1548836095.1592830089-1396384243.1592830089.
- Volocopter, 2018. Pioneering the Urban Air Taxi Revolution. Volocopter white paper. Available at https://press.volocopter.com/images/pdf/Volocopter-WhitePaper-1-0.pdf. Accessed September 2, 2020.
- Wisk Aero, 2021. Wisk Press Kit. Available at https://wisk.aero/press-kit/request-access/. Accessed August 25, 2021.
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Liu, W., Qi, G., Wang, X., & Yanfeng, L. (2026) · Research in Transportation Business & Management · doi:10.1016/j.rtbm.2026.101927
Wei, F., Wang, Z., Ma, C., Xia, X., Shao, S., Chen, Z., & 沈江卫 (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7674862
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Metadata
- Authors
- Garrow, L. A., German, B. J., & Leonard, C. E.
- Affiliations
- Georgia Institute of Technology (US)
- Corresponding author
- Garrow, Laurie A.
- Venue
- Transportation Research Part C: Emerging Technologies
- Publisher
- Elsevier BV
- Published
- 2021-11
- Volume
- 132
- Pages
- 103377
- ISSN
- 0968-090X (ISSN-L)
- OpenAlex
- W3203424619
- Cited by
- 488
- References
- 225
- Citations by year
- 2026: 153 · 2025: 118 · 2024: 95 · 2023: 81 · 2022: 38 · 2021: 3
- FWCI
- 28.01
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Transportation Research Part C Emerging Technologies (publishedVersion, cc-by-nc-nd)
- Funders
- National Aeronautics and Space Administration
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Air Traffic Management and Optimization
- Social Sciences › Transportation › Transportation and Mobility Innovations
- Physical Sciences › Engineering › Aerospace Engineering › Advanced Aircraft Design and Technologies
- Keywords
- urban air mobility, electric vehicles, autonomous vehicles, demand modeling, vertiports, energy profile, airspace restrictions, computer simulation
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