Volume 26 Issue 3
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ZHANG Sheng-zhong, LIU Tai-li, ZENG Miao-hua, WU Shan. Research review on public acceptance of low-altitude unmanned aerial vehicle logistics[J]. Journal of Traffic and Transportation Engineering, 2026, 26(3): 45-59. doi: 10.19818/j.cnki.1671-1637.2026.151
Citation: ZHANG Sheng-zhong, LIU Tai-li, ZENG Miao-hua, WU Shan. Research review on public acceptance of low-altitude unmanned aerial vehicle logistics[J]. Journal of Traffic and Transportation Engineering, 2026, 26(3): 45-59. doi: 10.19818/j.cnki.1671-1637.2026.151
shu

Research review on public acceptance of low-altitude unmanned aerial vehicle logistics

doi: 10.19818/j.cnki.1671-1637.2026.151

  • School of Economics and Management, Chang'an University, Xi'an 710064, Shaanxi, China

Funds:

International Cooperation and Exchange of the National Natural Science Foundation of China 42220104005

Fundamental Research Funds for the Central Universities 300102234602

More Information
  • Corresponding author: ZHANG Sheng-zhong, professor, PhD, E-mail: szzhang@chd.edu.cn
  • Received Date: 2025-08-29
  • Accepted Date: 2026-01-23
  • Rev Recd Date: 2025-12-17
  • Publish Date: 2026-03-28
    Abstract
  • To comprehensively understand the research progress in the field of public acceptance of low-altitude unmanned aerial vehicle (UAV) logistics and to promote the coordinated development of technological innovation and social adoption, this paper employed bibliometric analysis and systematic review methods to synthesize and summarize relevant studies. The analysis was conducted from three perspectives: literature distribution, theoretical models, and data analysis methods. Key factors influencing public acceptance of low-altitude UAV logistics were identified, and their impacts were analyzed. A research framework for this field was constructed, and limitations of existing studies as well as future research directions were proposed. Research results show that the number of publications in this area is generally increasing, and the research exhibits interdisciplinary characteristics. Theoretical models are primarily based on the Technology Acceptance Model (TAM) and its extensions, gradually integrating cognitive theories such as perceived risk and trust to form a comprehensive analytical framework. Quantitative methods, especially structural equation modeling (SEM), dominate current research, with a growing trend toward integration with machine learning and big data analytics. Key influencing factors include technical features, service functions, and environmental benefits in terms of drone functional attributes, as well as attitude, perceived ease of use, perceived usefulness, perceived risk, personal innovativeness, trust, and subjective norms in terms of public psychological cognition. However, in the context of the large-scale development of low-altitude UAV logistics, existing research still requires further advancement in developing theoretical frameworks tailored to the Chinese context, enriching data analysis and quantitative methodologies, and expanding decision-making research that incorporates public acceptance. These efforts aim to provide scientific insights and a solid foundation for industry policy formulation and operational optimization.

     

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