Modeling the adoption of urban air mobility based on technology acceptance and risk perception theories: A case study on flying cars

作     者：Hu, Sangen Huang, Zikang Wang, Ke Lin, Haiyuan Pei, Mingyang 

作者机构：School of Civil and Transportation Engineering Guangdong University of Technology Guangzhou 510006 China Department of Civil and Transportation Engineering South China University of Technology Guangzhou 510641 China Business School School of Intelligent Emergency Management Center for Supernetworks Research University of Shanghai for Science and Technology Shanghai 200093 China 

出 版 物：《Multimodal Transportation》 (Multimodal. Transp.)

年 卷 期：2025年第4卷第2期

基　　金：Xinjiang Key Laboratory of Green Mining of Coal resources Guangzhou Basic and Applied Basic Research, (SL2023A04J00802) Basic and Applied Basic Research Foundation of Guangdong Province, (2024A1515010617, 2022A1515110281) Anhui Office of Philosophy and Social Science, (2024GZQN36) Fundamental Research Funds for the Central Universities, (2024ZYGXZR053) Guangzhou Municipal Science and Technology Project, (2023A04J1703) Ministry of Education of the People's Republic of China, MOE, (KLXGY-KB2420) 

主　　题：Flying car Public acceptance Structural equation model Technology acceptance model Urban air mobility 

摘      要：Flying cars, a symbol of Urban Air Mobility (UAM), signify a pivotal step in revolutionizing urban transportation and play a pivotal role in shaping future transport systems. To enhance travelers willingness to accept flying cars and promote the widespread adoption of this novel transportation mode, this study develops a comprehensive model to explore key factors determining the public s acceptance of flying cars by integrating the Technology Acceptance Model, Risk Perception Theory, and Trust Theory. The validity of the model was confirmed through a rigorous structure equation modeling analysis, utilizing 553 sample data collected from a network questionnaire survey across a diverse demographic of the Chinese market. Results revealed significant associations between the intention to use flying cars and various factors, including attitudes towards usage, perceived usefulness, and personal innovativeness. Heterogeneity analysis further uncovered how demographic factors (such as age, gender, education, and possession of a driver s license) impacted perceptions and acceptance. As the study concludes, despite general optimism, public acceptance of flying cars is strongly influenced by factors such as cost, safety, and privacy concerns play crucial roles in public acceptance. The insights from this study provide valuable implications for manufacturers, policymakers, and marketers in strategizing the introduction and promotion of flying cars. © 2025 The Authors