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Research on the Operation Characteristics of Road Cold Chain Transport Based on Big Data

In: Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)

Author

Listed:
  • Mengfei Cao

    (Research Institute of Highway, Ministry of Transportation)

  • Sicong Li

    (Research Institute of Highway, Ministry of Transportation)

  • Jing Ye

    (Research Institute of Highway, Ministry of Transportation)

Abstract

With the rapid development of big data technology and its support for operational monitoring in the logistics industry, this paper utilizes trajectory data from refrigerated vehicles to analyze the operational characteristics of China’s road cold chain transport from three perspectives: scale, spatial distribution, and network structure. The results show that in 2024, the scale of road cold chain transport continues to grow steadily, with cold chain urban distribution services maintaining a dominant role. The demand for road cold chain transport in economically developed regions is relatively active, internal road cold chain transport connections among urban agglomerations such as the Yangtze River Delta, Beijing-Tianjin-Hebei, Chengdu-Chongqing, and the Greater Bay Area are close. In addition, the clustering coefficient indicates that the road cold chain transport network has become more tightly connected, and the hub functions of central cities are further strengthened.

Suggested Citation

  • Mengfei Cao & Sicong Li & Jing Ye, 2026. "Research on the Operation Characteristics of Road Cold Chain Transport Based on Big Data," Advances in Economics, Business and Management Research, in: Hongbo Li & Daowen Qiu & Hui An & Yahua Xu & Liew Chee Yoong (ed.), Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026), pages 217-230, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-640-1_20
    DOI: 10.2991/978-94-6239-640-1_20
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