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

Multimodal Transportation Pub Date : 2025-06-01 Epub Date: 2025-01-17 DOI:10.1016/j.multra.2025.100200
Sangen Hu , Zikang Huang , Ke Wang , Haiyuan Lin , Mingyang Pei
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Abstract

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.
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基于技术接受和风险感知理论的城市空中交通采用建模——以飞行汽车为例
飞行汽车是城市空中交通(UAM)的象征,标志着城市交通革命的关键一步,在塑造未来的交通系统中发挥着关键作用。为了提高旅行者对飞行汽车的接受意愿,促进这种新型交通方式的广泛采用,本研究通过整合技术接受模型、风险感知理论和信任理论,建立了一个综合模型,探讨公众对飞行汽车接受程度的关键因素。通过严格的结构方程建模分析,利用从中国市场不同人口统计的网络问卷调查中收集的553个样本数据,证实了模型的有效性。结果显示,使用飞行汽车的意愿与各种因素之间存在显著关联,包括对使用的态度、感知到的有用性和个人创新能力。异质性分析进一步揭示了人口因素(如年龄、性别、教育程度和持有驾照)如何影响人们的认知和接受度。正如研究得出的结论,尽管普遍乐观,但公众对飞行汽车的接受程度受到成本、安全和隐私等因素的强烈影响,这些因素在公众接受度中起着至关重要的作用。这项研究的见解为制造商、政策制定者和营销人员制定引入和推广飞行汽车的战略提供了有价值的启示。
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