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.
Overview
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
Verification
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“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]
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.
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
Flagged first, then by citations
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.
Cited by
Sorted by citations
Items 301–400 of 488
Deterministic, rule-following trajectory generation system for waypoint flight
Mbikayi, Z., Steinert, A., Holzapfel, F., & Liu, H. H. T. (2026) · Aerospace Systems · doi:10.1007/s42401-026-00529-3 · Cited by 1
Li, H., Wei, Z., Cao, Z., Jumaybayi, A., & Shatar, R. (2026) · IEEE Access · doi:10.1109/access.2026.3724656 · Cited by 1
Javanmardnezhad, J., Delshad, M. M., Kaveh, F., Jafarnejad, N., & طولابی, م. (2026) · Results in Control and Optimization · doi:10.1016/j.rico.2026.100800 · Cited by 1
Khandker, S., & Shohag, A. U. (2022) · IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) · doi:10.1109/ice/itmc-iamot55089.2022.10033179 · Cited by 1
Sizing and Optimization of an Urban Air Mobility Aircraft Using Parametric Aero-Propulsive Model
Kunwar, B., Bhandari, R., & Chakraborty, I. (2023) · AIAA AVIATION Forum · doi:10.2514/6.2023-3662 · Cited by 1
Modelling Urban Air Mobility Demand: the Example of the Île-de-France Region
Norte, M. V. D. A., Fulton, M., Harvey, A., Plevier, C., Oosterholt, L., Garcia, M. M., Wichers, F., van Vliet, L., Ottens, J., Bootsma, S., et al. (2023) · AIAA AVIATION Forum · doi:10.2514/6.2023-4105 · Cited by 1
Integrated Vehicle and Subsystems Sizing and Optimization for Advanced Air mobility aircraft
Bhandari, R., Putra, S. H., & Chakraborty, I. (2024) · AIAA SciTech Forum · doi:10.2514/6.2024-1085 · Cited by 1
Ahmed, L., & Raghav, V. (2024) · AIAA SciTech Forum · doi:10.2514/6.2024-1507 · Cited by 1
Design and Analysis of Four-Wheeler Chassis for Improved Performance
Dhabliya, D., Alkkhayat, A. H., Sivakumar, J., Bhokde, R., & Maheshwari, B. (2023) · International Conference on Computation, Automation and Knowledge Management (ICCAKM) · doi:10.1109/iccakm58659.2023.10449564 · Cited by 2
A Comprehensive Review of Electrical Motors for Electric Mobility
Kumar, P., Channi, H. K., & Singh, H. (2024) · IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE) · doi:10.1109/icwite59797.2024.10503530 · Cited by 1
Carrera, C. P., Genel, Ö. E., Curcio, M., Pappalardo, C. M., & Guida, D. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-66271-3_15 · Cited by 1
Covariance Control for Uncrewed Aircraft Systems Under Correlated Uncertainty
Matsuno, Y. (2024) · Journal of Robotics and Mechatronics · doi:10.20965/jrm.2024.p1082 · Cited by 1
Criterios de integración de la movilidad aérea urbana en la ciudad
Olariaga, Ó. D. (2024) · Ciudad y territorio: Estudios territoriales · doi:10.37230/cytet.2024.222.1 · Cited by 1
Katagiri, T., Fujimoto, K., Nagai, S., & Fujimoto, H. (2025) · IEEE International Conference on Mechatronics (ICM) · doi:10.1109/icm62621.2025.10934770 · Cited by 1
Smart Mobility Solutions: The Role of Deep Learning in Traffic Management
Kaur, C. H., & Ramandeep, S. (2025) · Studies in big data · doi:10.1007/978-3-031-86075-1_2 · Cited by 1
Espejo-Díaz, J. A., Alfonso-Lizarazo, E. H., & Montoya‐Torres, J. R. (2023) · Lecture notes in operations research · doi:10.1007/978-3-031-28870-8_8 · Cited by 1
A Research on Local Community’s Acceptance and Human Factors Using Analytic Hierarchy Process
Park, S. S., & Kim, H.-S. (2023) · The Korean Journal of Aerospace and Environmental Medicine · doi:10.46246/kjasem.230018 · Cited by 1
Capacity-Constrained Urban Air Mobility SchedulingPreprint
Wei, Q., Nilsson, G., & Coogan, S. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4175959 · Cited by 1
Training Ab Initio eVTOL Pilots for Regional Air Mobility Missions: A Comparison of CurriculaPreprint
Liu, C., Du, Y., He, D., Jiang, H., Jiang, C., & Yang, H. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5991728 · Cited by 1
Tribioli, L., & Villani, M. (2022) · MDPI eBooks · doi:10.3390/books978-3-0365-4126-6
Gas Turbine Engine Based Hybrid Propulsion System Modeling and Simulation
Lee, B., Kim, C., Jun, S., Huh, J.-S., & Kim, J.-H. (2022) · Journal of the Korean Society of Propulsion Engineers · doi:10.6108/kspe.2022.26.3.001
Autonomous vehicles for urban air mobility : future of mobility
Dahanayaka, M., & Thibbotuwawa, A. (2021) · Bolgoda Plains · doi:10.31705/bprm.v2.2021.4
Scaling of Hovering Rotorcraft Aerodynamics in Hyperbaric Experimental Conditions
Kandias, C. S., & Miller, M. A. (2023) · AIAA SciTech Forum · doi:10.2514/6.2023-2281
Hava Yollarının Kentsel Hava Hareketlilik Stratejileri
Begeç, S., & Demir, A. (2023) · Journal of Aviation Research · doi:10.51785/jar.1226756
Zafi, N. A., & Chakraborty, I. (2023) · AIAA AVIATION Forum · doi:10.2514/6.2023-3663
Data-Driven Deployment of Cargo Drones: A U.S. Case Study Identifying Key Markets and Routes
Bridgelall, R. (2023) · Algorithms · doi:10.3390/a16080373
Kim, H., & Yee, K. (2026) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2026.3698394
The 3rd Workshop on User Experience in Urban Air Mobility: What Could We Learn From AutomotiveUI?
Kim, Y. W., Ji, Y. G., Yoon, S. H., Colley, M., & Meinhardt, L.-M. (2023) · International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI) · doi:10.1145/3581961.3609824
Impact of Flight Speed Distribution on Efficiency of Urban Air Traffic Network
Gong, T., Nnamani, C. O., Xu, Y., & Tsourdos, A. (2023) · IEEE/AIAA Digital Avionics Systems Conference (DASC) · doi:10.1109/dasc58513.2023.10311281
PROFIL POTENCIÁLNÍHO UŽIVATELE URBAN AIR MOBILITY V ČESKÉ REPUBLICE
Šimeček, M. (2023) · Perner s Contacts · doi:10.46585/pc.2023.2.2486
Thani, H. A. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4805907
Urban Air Mobility Profitability and Operational Sensitivity to Battery and Charging Technology
Garbo, A., Herniczek, M. T. K., & German, B. (2024) · Journal of Air Transportation · doi:10.2514/1.d0328
Self-citationNo ar: Carro voador como máquina autônoma sem emissão em análise de viabilidade
do Prado, M. P., & Galbiatti, G. (2024) · Estudos Avançados · doi:10.1590/s0103-4014.2024.38110.006
Aeroacoustics of In-Flight Propeller-Wing in Pusher Configuration
Akiwate, D. C., Jung, R., Paruchuri, C. C., Joseph, P., Parry, A. B., & Angland, D. (2024) · AIAA/CEAS Aeroacoustics Conference · doi:10.2514/6.2024-3261
Zhou, M., Yu, S., Zhou, C., Kong, N., & Campy, K. S. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4856918
Longitudinal Study on Public Acceptance of Autonomous TaxisPreprint
Zhou, M., Yu, S., Zhou, C., Kong, N., & Campy, K. S. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4855346
Design of a service for hospital internal transport of urgent pharmaceuticals via drones
Gholami, A. (2024) · Turkish Journal of Engineering · doi:10.31127/tuje.1428703
الطائرات الهيدروجينية كوسيلة آمنة لتجربة السفر المستدام: بالتركيز على نظرية الإدراك-التوقع
عيسوى, ت. م., & صالح, ت. ع. ا. ي. (2024) · مجلة کلية السياحة والفنادق جامعة المنصورة · doi:10.21608/mkaf.2024.274300.1043
Overview and Perspectives of Air Mobility Operations and Simulation Tools
Safadi, Y., & Haddad, J. (2024) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2024.07.356
Dynamic Graph Advanced Air Mobility Trajectory Optimization Under Weather Forecast Uncertainty
Aldao, E., Veiga-López, F., González-deSantos, L. M., González-Jorge, H., Martín, E., González, M. D. L. N. L., & Fernández, M. I. Á. (2024) · Journal of Guidance Control and Dynamics · doi:10.2514/1.g007971
Uncrewed Aerial Vehicle Routing Problem for Integrated Crewed and Uncrewed Aircraft Operations
Matsuno, Y., & Andreeva-Mori, A. (2024) · Journal of Robotics and Mechatronics · doi:10.20965/jrm.2024.p1090
Coaxial Evtol Dynamic Modeling and Control Design For Urban Air Mobility ApplicationsPreprint
YILMAZ, A. R., Muhammed Ali, K. U. L., Karakaş, S., & Erol, B. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.5047964
Multidisciplinary Optimization of Advanced Air Mobility Fleet Operations
Kirste, A., & Stumpf, E. (2025) · AIAA SciTech Forum · doi:10.2514/6.2025-2170
Comer, A. M., Mishra, A. A., & Chakraborty, I. (2025) · AIAA SciTech Forum · doi:10.2514/6.2025-0658
Experimental Analysis of Propeller-Induced Load Fluctuations at Low Reynolds Numbers
Ahmed, L., Nair, A., & Raghav, V. (2025) · AIAA SciTech Forum · doi:10.2514/6.2025-0870
Contrastive Representation Learning for Regression-Based Aerodynamics Problem: Fuselage and Airfoil
Kamal, T., & Saha, S. (2025) · AIAA SciTech Forum · doi:10.2514/6.2025-0477
Sizing and Optimization of Multi eVTOL Configuration for Urban Air Mobility Applications
Bhandari, R., & Chakraborty, I. (2025) · AIAA SciTech Forum · doi:10.2514/6.2025-1434
Dauner, M., Kurz, M., Knoll, A., & Socher, G. (2025) · AIAA SciTech Forum · doi:10.2514/6.2025-0142
Guan, H., Liu, H., Li, B., Li, J., Jiang, X., Zhang, J., Yu, Y., & Shi, S. (2025) · International Conference on Green Aviation (ICGA) · doi:10.3390/engproc2024080038
Design and Implemantation of UAM Surveillance System using Distributed ADS-B
Bae, Y., Park, H., Kang, I., Jang, Y., Han, S., & Jang, B. (2025) · The Journal of Korean Institute of Electromagnetic Engineering and Science · doi:10.5515/kjkiees.2025.36.2.151
Explicit model following trajectory control system for a transitioning urban air mobility aircraft
Chakraborty, I., & Comer, A. M. (2025) · Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering · doi:10.1177/09544100251321937
Skyport-and-Skyroad: Urban Air Mobility Service Network Planning and Pricing Scheme DesignPreprint
Lin, Y. H., Tian, Q., Wu, J., & Yin, H. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5226285
Bao, Z., Zhao, P., He, L., & Cai, K. (2025) · Integrated Communications, Navigation and Surveillance Conference (ICNS) · doi:10.1109/icns65417.2025.10976781
Shifting Skies: A Cross-Country Investigation of Evolution of Public PerceptionPreprint
Bhaduri, E., & Choudhury, C. F. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5254956
Análisis del enfoque social sostenible de la tecnología emergente Movilidad Aérea Urbana
Olariaga, Ó. D. (2025) · Telos Revista de Estudios Interdisciplinarios en Ciencias Sociales · doi:10.36390/telos272.17
A Novel Assessment and Dispatching Framework for Large-Scale Urban Drone Delivery SystemPreprint
Bao, D., Zhang, Z., Shang, J., & Wang, J. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5274058
Lee, C., Nguyen, N. P., Bae, S., & Hong, S. K. (2025) · Drones · doi:10.3390/drones9060414
A Yaw-roll Coupling Suppression Control Method for eVTOL Aircraft with Nonuniform Propulsion Layout
Ni, X., Wang, M., Li, X., & Zhang, S. (2025) · Journal of Physics Conference Series · doi:10.1088/1742-6596/3044/1/012001
Ghafar, N. H., Jusoh, A. F. I. M., Musyiree, N. L. F. F., Wan-Chik, R. Z., Ali, A. M., & Rashid, R. A. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-032-00441-3_33
Thani, H. A. (2025) · Human-Intelligent Systems Integration · doi:10.1007/s42454-025-00066-y
Grotta, C. A. D., & Correa, D. P. F. (2025) · Design science and innovation · doi:10.1007/978-3-031-96173-1_19
Predicting the Aerodynamic Noise of Rotorcrafts Approaching Urban Landing Sites
Song, C., Son, S.-M., Jung, D.-B., Myong, R.-S., & Lee, H. (2025) · Transactions of the Korean Society for Noise and Vibration Engineering · doi:10.5050/ksnve.2025.35.5.471
Campagna, L. M., Cantatore, E., Carlucci, F., Dipaola, F., & Fiorito, F. (2025) · Lecture notes in civil engineering · doi:10.1007/978-3-032-06978-8_7
Housing market impacts of Urban Air Mobility in Seoul: evidence across district and parcel scales
Jo, H., Kim, G., Kim, M., Song, H., Cho, Y., & Choi, S. (2026) · Journal of Housing and the Built Environment · doi:10.1007/s10901-026-10303-8
An Approach to Integrated Charging, Scheduling and Resource Allocation for UAM Fleet Operations
Wu, Z., Yan, X., Wu, H., Cai, K., & Ng, K. K. H. (2025) · IEEE/AIAA Digital Avionics Systems Conference (DASC) · doi:10.1109/dasc66011.2025.11257387
Park, M. (2025) · Energy Conversion and Management · doi:10.1016/j.enconman.2025.120868
Hamon, E., & Lebel, L. L. (2025) · Composites Part B Engineering · doi:10.1016/j.compositesb.2025.113305
Park, M., & Roh, N. (2025) · The Aeronautical Journal · doi:10.1017/aer.2025.10094
Trajectory Planning for eVTOL Aircraft with High-Fidelity HV Battery Modeling and SOC Estimation
Abdelkhalek, M., & Bayezit, İ. (2025) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-031-92143-8_6
Vertiport Location Planning for Urban Air Mobility Airport Shuttle Services Under UncertaintyPreprint
Gottschalg, G., Strauss, A., Ivanov, N., Mirković, B. D., & Blasco-Puyuelo, J. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5402391
Liu, T., & Li, G. (2025) · Engineering Reports · doi:10.1002/eng2.70521
Cosenza, V., Villani, V., Travascio, L., Pariota, L., Vozella, A., & Bifulco, G. N. (2025) · Research Square · doi:10.21203/rs.3.rs-8094842/v1
Benefit-sacrifice trade-offs in UAM adoption in Seoul: A trip purpose-based analysis using the VAM
Lee, J., & Kim, D.-G. (2025) · KSCE Journal of Civil Engineering · doi:10.1016/j.kscej.2025.100503
Legal Challenges of Providing Urban Air Mobility Services in the Green Economy
Krasuski, A. (2025) · Springer eBooks · doi:10.1007/978-981-95-2282-8_16
Integrated HSR–eVTOL Modelling for Sustainable Logistics under China’s Dual-Carbon StrategyPreprint
Liu, D. H., Zhu, T., Zhang, J., Liu, N., Poo, M. C., & Lau, Y. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6038629
A SysML-based framework towards EASA CS-23 digitalization: An MBSE approach
Vecchia, P. D., Mirabella, C., Tuccillo, M., Riboldi, C. E. D., Fioriti, M., Shahini, F., & Roncolini, F. (2026) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2025.101810
Rudresh, M., Rajan, S. S., Jain, P. S., Kotari, B. K. M., Inchara, N., Sridhar, M., & Pragna, G. D. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-4277-1.ch005
To Fly or Not to Fly: That Is the Question: The Acceptance of Drone TaxisPreprint
Baudier, P., Kondrateva, G., & Ammi, C. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6138791
An Evaluation of Fault-Tolerant Control Allocation Strategies for eVTOL Aircraft
Asper, G. D., Corrigan, P. E., Simmons, B. M., & Woolsey, C. A. (2026) · AIAA SciTech Forum · doi:10.2514/6.2026-1886
Shaping the Low-Altitude Economy: Technology, Infrastructure, and Policy through Urbanimmunology
Zhang, J. (2026) · Urban sustainability · doi:10.1007/978-981-95-5393-8_5
Gong, Z., Zhang, Z., & Zhang, F. (2026) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2026.105203
LADAR: Low-Latency Distributed Articulation Point Detection and Mobility Recovery for FANETs
Wang, Q., Nie, G., Tian, Y., & Tian, H. (2025) · International Conference on Communication and Information Processing (ICCIP) · doi:10.1145/3784833.3784883
Power Quality Assessment in a DC Grid for an All-Electric Aerial Vehicle
Ferreira, L., Ferreira, G. T., d’Amore, R., & Ávila, M. D. (2026) · AIAA SciTech Forum · doi:10.2514/6.2026-2128
Negash, N. M., & Sun, L. Q. (2026) · AIAA SciTech Forum · doi:10.2514/6.2026-2366
Guo, D., Yao, E., Chen, R., Zhang, T., & Zhang, Y. (2026) · Transportmetrica A Transport Science · doi:10.1080/23249935.2026.2625143
Information transparency and pricing competition in urban air mobility platformsPreprint
Yuan, Y., Feng, D., & Jiang, Y. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6194978
Negash, N. M., & Sun, L. Q. (2026) · AIAA SciTech Forum · doi:10.2514/6.2026-2366.c1
Shan, C., Ding, J., Zhu, Z., & Long, Y. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6300264
Optimizing Fixed-Route Planning for Urban Air Mobility: An Efficient Method for Early ImplementationPreprint
Liu, R., Xia, H., Liang, K., Lin, C., & Li, L. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6359392
Flying car path planning: A comprehensive review and unified analytical framework
He, C., Guo, Y., Zhang, Z., Cai, Y., Wang, H., Chen, L., & Zhong, C. (2026) · Aerospace Science and Technology · doi:10.1016/j.ast.2026.112034
Airspace Partitioning for Urban Air Mobility: A Macroscopic Approach with a Realistic Network
Peksa, M., Keyvan‐Ekbatani, M., & Bogenberger, K. (2025) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc60802.2025.11423788
A Review of Current Developments in Flying Cars in the Context of Sustainable Transport
Dağlı, E., & Aydin, M. M. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-4611-3.ch002
Arshi, T., Agarwal, V., Virmani, N., Saxena, G., & Bhandari, D. (2026) · International Journal of Mathematical Engineering and Management Sciences · doi:10.33889/ijmems.2026.11.2.030
Almasabi, M., & Zhang, Y. M. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6482030
Vehicle design dictates the geography of urban air mobility accessibility
Yan, Y., Yang, Y., Wang, K., Liu, Y. (., & Qu, X. (2026) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2026.104979
Aerodynamic Configuration and Stability Analysis of a Split-Type Tilt-Rotor Cargo Flying Vehicle
Li, S., Shen, Y., Liu, B., Chen, D., He, S., Yao, L., & Feng, G. (2026) · Aerospace · doi:10.3390/aerospace13040325
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
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