Urban air mobility passenger services represent a new frontier in low-altitude aviation development. However, societal acceptance of such services varies significantly due to various constraints, such as safety, technology, and conceptual barriers. In the current context of low-altitude aviation development, the emergence of new unmanned eVTOLs that carry passengers has made research into public willingness to use urban air mobility services a focal point of attention across all sectors. Drawing on traffic organization behavior theory, this paper analyzes and evaluates public willingness to use urban air mobility passenger services. We establish an improved TAM-ITM model system to systematically analyze the factors influencing public willingness to use urban air mobility passenger services, along with structural model and mediating effect calculations. The results indicate that Perceived Usefulness, Familiarity, Institutional Guarantee, Subjective Norms, Initial Trust, Usage Attitude, and Social Image significantly impact willingness to use positively, while Perceived Safety Risks significantly impact willingness to use negatively. Trust Propensity, Perceived Enjoyment, and Price Evaluation show no significant impact.
References
[1]
NASA (2018) NASA Urban Air Mobility (UAM) Market Study. https://ntrs.nasa.gov/api/citations/20190001472/downloads/20190001472.pdf
[2]
EASA (2021) Study on the Societal Acceptance of Urban Air Mobility in Europe. https://www.easa.europa.eu/sites/default/files/dfu/uam-full-report.pdf
[3]
Al Haddad, C., Chaniotakis, E., Straubinger, A., et al. (2020) Factors Affecting the Adoption and Use of Urban Air Mobility. Transportation Research Part A: Policy and Practice, 132, 696-712.
[4]
Karami, H., Abbasi, M., Samadzad, M., et al. (2024) Unraveling Behavioral Factors Influencing the Adoption of Urban Air Mobility from the End User’s Perspective in Tehran—A Developing Country Outlook. Transport Policy, 145, 74-84.
[5]
Lee, C., Bae, B., Lee, Y.L. and Pak, T. (2023) Societal Acceptance of Urban Air Mobility Based on the Technology Adoption Framework. TechnologicalForecastingandSocialChange, 196, Article ID: 122807. https://doi.org/10.1016/j.techfore.2023.122807
[6]
Zhang, X.Y. (2020) Research on Acceptance Intention and Choice Behavior of L3 Autonomous Vehicles. Doctoral Dissertation, Dalian University of Technology.
[7]
Chen, F. (2023) Research on Parking Choice Behavior of Shared Autonomous Vehicles Based on Travelers’ Usage Intention. Doctoral Dissertation, Chongqing Jiaotong University.
[8]
Du, L.Y. (2021) Research on Usage Intention and Choice Behavior of Autonomous Vehicles for School Travel. Doctoral Dissertation, Jiangsu University.
[9]
Davis, F.D. (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MISQuarterly, 13, 319-340. https://doi.org/10.2307/249008
[10]
Han, X., Lei, Y.T., Zhen, T.J., et al. (2022) Factors Influencing Farmers’ Continuous Usage Intention of Plant Protection UAVs Based on TAM. JournalofSouthwestMinzuUniversity (NaturalScienceEdition), 48, 332-339. https://doi.org/10.11920/xnmdzk.2022.03.008
[11]
Chen, C.H. (2022) Research on Influencing Factors of Electric Vehicle Purchase Intention Based on Technology Acceptance Model. Doctoral Dissertation, Chongqing Jiaotong University.
[12]
Sun, L.B., Tang, Q.S. and You, Y. (2022) Research on Acceptance of Autonomous Taxis Based on Modified TAM. Journal of Railway Science and Engineering, 19, 1540-1549. https://doi.org/10.19713/j.cnki.43-1423/u.T20211233
[13]
Li, T. (2021) Research on Acceptance of Autonomous Buses Based on User Experience. Doctoral Dissertation, Tianjin University.
[14]
Li, Z.L., Xing, G.Y., Li, J., et al. (2021) Research on Driver Acceptance of Cooperative Vehicle-Infrastructure System Based on Extended TAM. ChinaJournalofHighwayandTransport, 34, 188-200. https://doi.org/10.19721/j.cnki.1001-7372.2021.07.017
[15]
Lv, N.C., Qin, L. and Luo, Y. (2017) Acceptance Level and Influencing Factors of Advanced Driver Assistance Systems. JournalofTransportInformationandSafety, 35, 54-59. https://doi.org/10.3963/j.issn.1674-4861.2017.06.007
[16]
Mcknight, D.H., Kacmar, C.J. and Choudhury, V. (2004) Shifting Factors and the Ineffectiveness of Third Party Assurance Seals: A Two-Stage Model of Initial Trust in a Web Business. ElectronicMarkets, 14, 252-266. https://doi.org/10.1080/1019678042000245263
[17]
Marangunić, N. and Granić, A. (2015) Technology Acceptance Model: A Literature Review from 1986 to 2013. Universal Access in the Information Society, 14, 81-95.
[18]
Tao, D., Yuan, J., Shao, F., Li, D. and Qu, X. (2018) Factors Affecting Consumer Acceptance of an Online Health Information Portal among Young Internet Users. CIN: Computers, Informatics, Nursing, 36, 530-539.
[19]
Zhang, T., Tao, D., Qu, X., Zhang, X., Lin, R. and Zhang, W. (2019) The Roles of Initial Trust and Perceived Risk in Public’s Acceptance of Automated Vehicles. TransportationResearchPartC: EmergingTechnologies, 98, 207-220. https://doi.org/10.1016/j.trc.2018.11.018
[20]
Dikmen, M. and Burns, C. (2017) Trust in Autonomous Vehicles: The Case of Tesla Autopilot and Summon. 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, 5-8 October 2017, 1093-1098.
[21]
Chamata, J. (2017) Factors Delaying the Adoption of Civil Drones: A Primitive Framework. The International Technology Management Review, 6, 125-132.
[22]
Lee, M.K.O. and Turban, E. (2001) A Trust Model for Consumer Internet Shopping. InternationalJournalofElectronicCommerce, 6, 75-91. https://doi.org/10.1080/10864415.2001.11044227
[23]
Gefen, D. and Straub, D.W. (2004) Consumer Trust in B2C E-Commerce and the Importance of Social Presence: Experiments in E-Products and E-Services. Omega, 32, 407-424. https://doi.org/10.1016/j.omega.2004.01.006
[24]
Winter, S.R., Rice, S. and Lamb, T.L. (2020) A Prediction Model of Consumer’s Willingness to Fly in Autonomous Air Taxis. JournalofAirTransportManagement, 89, Article ID: 101926. https://doi.org/10.1016/j.jairtraman.2020.101926
[25]
Hogreve, J. and Janotta, F. (2021) What Drives the Acceptance of Urban Air Mobility—A Qualitative Analysis. In: Künstliche Intelligenz im Dienstleistungsmanagement: Band 2: Einsatzfelder-Akzeptanz-Kundeninteraktionen, Springer Fachmedien Wiesbaden, 385-408. https://doi.org/10.1007/978-3-658-34326-2_15
[26]
Kusumawardhani, A., Batu, K.L. and Aqmala, D. (2019) How Green Should Trust, Norm and Attitude Be Colored? An Empirical Research in Asian Market Consumers. Calitatea, 20, 118-126. https://doi.org/10.1108/JCM-05-2019-3212
[27]
Chen, M. (2017) Research on Factors Influencing Users’ Online Payment Intention in e-Commerce. Master’s Thesis, Guilin University of Technology.
[28]
Hornbæk, K. and Hertzum, M. (2017) Technology Acceptance and User Experience: A Review of the Experiential Component in HCI. ACMTransactionsonComputer-HumanInteraction, 24, 1-30. https://doi.org/10.1145/3127358
[29]
Venkatesh, V., Thong, J.Y.L. and Xu, X. (2012) Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MISQuarterly, 36, 157-178. https://doi.org/10.2307/41410412
[30]
Rohlik, L. and Stasch, S. (2019) Analyzing the Acceptance of Air Taxis from a Potential User Perspective: Extending the Technology Acceptance Model towards an Urban Air Mobility Acceptance Model (UAMAM). Transportation Research Part F: Traffic Psychology and Behaviour, 65, 552-565.
[31]
Kopplin, C.S., Brand, B.M. and Reichenberger, Y. (2021) Consumer Acceptance of Shared e-Scooters for Urban and Short-Distance Mobility. TransportationResearchPartD: TransportandEnvironment, 91, Article ID: 102680. https://doi.org/10.1016/j.trd.2020.102680
[32]
Kim, K.K. and Prabhakar, B. (2004) Initial Trust and the Adoption of B2C e-Commerce: The Case of Internet Banking. ACMSIGMISDatabase: TheDATABASEforAdvancesinInformationSystems, 35, 50-64. https://doi.org/10.1145/1007965.1007970
[33]
Li, Y.X. (2019) Research on Factors Influencing Ride-Hailing Users’ Adoption Intention. Master’s Thesis, Hunan Normal University.
[34]
Afshan, S. and Sharif, A. (2016) Acceptance of Mobile Banking Framework in Pakistan. TelematicsandInformatics, 33, 370-387. https://doi.org/10.1016/j.tele.2015.09.005
