Cited by 488Air Traffic Management and OptimizationTransportation and Mobility InnovationsAdvanced Aircraft Design and Technologies

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Urban air mobility: A comprehensive review and comparative analysis with autonomous and electric ground transportation for informing future research

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Garrow, Laurie A., German, Brian J., Leonard, Caroline E.·2021·Transportation Research Part C: Emerging Technologies

DOI 10.1016/j.trc.2021.103377

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Abstract

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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Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Diffusion of Innovations 1
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
Diffusion of innovations
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
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
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 862
Preferences for shared autonomous vehicles
Krueger, R., Rashidi, T. H., & Rose, J. M. (2016) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2016.06.015 · Cited by 861
Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model
Wang, S., Fan, J., Zhao, D., Yang, S. C., & Yuan-guang, F. (2014) · Transportation · doi:10.1007/s11116-014-9567-9 · Cited by 829
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
Partial recharge strategies for the electric vehicle routing problem with time windows
Keskin, M., & Çatay, B. (2016) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2016.01.013 · Cited by 602
What drives people to accept automated vehicles? Findings from a field experiment
Xu, Z.-G., Zhang, K.-F., Min, H.-G., Wang, Z., Zhao, X.-M., & Liu, P. (2018) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2018.07.024 · Cited by 595
Charging infrastructure planning for promoting battery electric vehicles: An activity-based approach using multiday travel data
Dong, J., Liu, C., & Lin, Z. (2013) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2013.11.001 · Cited by 587
An empirical investigation on consumers’ intentions towards autonomous driving
Panagiotopoulos, I. E., & Dimitrakopoulos, G. J. (2018) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2018.08.013 · Cited by 560
An overview of current research and developments in urban air mobility – Setting the scene for UAM introduction
Straubinger, A., Rothfeld, R., Shamiyeh, M., Büchter, K.-D., Kaiser, J., & Plötner, K. (2020) · Journal of Air Transport Management · doi:10.1016/j.jairtraman.2020.101852 · Cited by 535
Operations of a shared, autonomous, electric vehicle fleet: Implications of vehicle & charging infrastructure decisions
Chen, T. D., Kockelman, K. M., & Hanna, J. P. (2016) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2016.08.020 · Cited by 529
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Harper, C. D., Hendrickson, C. T., Mangones, S. C., & Samaras, C. (2016) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2016.09.003 · Cited by 504
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Zhang, T., Tao, D., Qu, X., Zhang, X. Y., Zeng, J., Zhu, H.-Y., & Han, Z. (2020) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2020.01.027 · Cited by 495
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Wang, Y., Wang, S., Wang, J. S., Wei, J., & Wang, C. (2018) · Transportation · doi:10.1007/s11116-018-9893-4 · Cited by 479
Ride-hailing, travel behaviour and sustainable mobility: an international review
Tirachini, A. (2020) · Transportation · doi:10.1007/s11116-019-10070-2 · Cited by 470
Consumer purchase intentions for electric vehicles: Is green more important than price and range?
Degirmenci, K., & Breitner, M. H. (2017) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2017.01.001 · Cited by 469
Urban Air Mobility Airspace Integration Concepts and Considerations
Thipphavong, D. P., Apaza, R. D., Barmore, B., Battiste, V., Burian, B. K., Dao, Q. V., Feary, M., Go, S., Goodrich, K. H., Homola, J. R., et al. (2018) · AIAA Aviation Technology, Integration, and Operations Conference (ATIO) · doi:10.2514/6.2018-3676 · Cited by 433
Literature review on surveys investigating the acceptance of automated vehicles
Becker, F., & Axhausen, K. W. (2017) · Transportation · doi:10.1007/s11116-017-9808-9 · Cited by 418
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Biresselioglu, M. E., Demirbag Kaplan, M., & Yilmaz, B. K. (2018) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2018.01.017 · Cited by 414
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Greenblatt, J. B., & Shaheen, S. (2015) · Current Sustainable/Renewable Energy Reports · doi:10.1007/s40518-015-0038-5 · Cited by 407
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Hohenberger, C., Spörrle, M., & Welpe, I. M. (2016) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2016.09.022 · Cited by 381
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Wang, S., Wang, J., Li, J., Wang, J., & Liang, L. (2018) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2018.08.014 · Cited by 376
How much charging infrastructure do electric vehicles need? A review of the evidence and international comparison
Funke, S. Á., Sprei, F., Gnann, T., & Plötz, P. (2019) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2019.10.024 · Cited by 366
Factors affecting the adoption and use of urban air mobility
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Wu, F., & Sioshansi, R. (2017) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2017.04.035 · Cited by 198
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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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The Potential of Low-Altitude Airspace: The Future of Urban Air Transportation
Huang, H., Su, J., & Wang, F. (2024) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2024.3483889 · Cited by 124

See all 488

Authors: Garrow, L. A., German, B. J., & Leonard, C. E.
Affiliations: Georgia Institute of Technology (US)
Corresponding author: Garrow, Laurie A.
ORCID: Garrow, Laurie A.
German, Brian J.
Venue: Transportation Research Part C: Emerging Technologies
Publisher: Elsevier BV
Published: 2021-11
Volume: 132
Pages: 103377
ISSN: 0968-090X (ISSN-L)
DOI: 10.1016/j.trc.2021.103377
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: cc-by-nc-nd
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
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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Urban air mobility: A comprehensive review and comparative analysis with autonomous and electric ground transportation for informing future research

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