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Knowledge-Driven Logistics Transformation: Complex Networks and UAVs in Distribution

Author

Listed:
  • Long-Yang Huang

    (Civil Aviation Flight University of China)

  • Si-Yi Li

    (Civil Aviation Flight University of China)

  • Xiang Zou

    (The Second Research Institute of Civil Aviation Administration of China
    Civil Unmanned Aircraft Traffic Management Key Laboratory of Sichuan Province)

  • Bo-Zhi Zhao

    (Civil Aviation Flight University of China)

  • Cheng-Long Li

    (Civil Aviation Flight University of China)

Abstract

In today’s rapidly evolving knowledge economy, the logistics landscape faces unprecedented challenges driven by the demands of e-commerce and takeaway services. Traditional logistics struggle with inefficiencies and escalating labor costs, prompting a paradigm shift toward leveraging uncrewed aerial vehicles (UAVs) for distribution. This paper explores the intersection of UAV technology, complex network theory, and the knowledge economy. The incorporation of UAVs into logistics networks offers a transformative solution to traditional challenges. However, a noticeable research gap exists in the strategic opening of distribution sites and optimizing flight paths. This study bridges this gap by introducing complex network evaluation indices into urban logistics UAV distribution networks. By applying complex network and innovation diffusion theories, we systematically assess the importance of distribution sites within the network, challenging conventional assumptions. Furthermore, we highlight the importance of knowledge management strategies in enhancing operational efficiency and adaptability within UAV distribution networks. Effective knowledge sharing and data analytics play a crucial role in informed decision-making and ongoing innovation. Our research pioneers the application of complex network evaluation indices, offering insights for logistics operators seeking to optimize their operations. This study advances our understanding of UAV logistics within the knowledge economy. It provides theoretical foundations for complex network analysis and practical recommendations for logistics managers. Embracing UAV technology presents economic and innovation implications, making it a driving force for efficiency and competitiveness in the logistics industry.

Suggested Citation

  • Long-Yang Huang & Si-Yi Li & Xiang Zou & Bo-Zhi Zhao & Cheng-Long Li, 2025. "Knowledge-Driven Logistics Transformation: Complex Networks and UAVs in Distribution," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 1583-1622, March.
    • Handle: RePEc:spr:jknowl:v:16:y:2025:i:1:d:10.1007_s13132-024-01984-z
    DOI: 10.1007/s13132-024-01984-z
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