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

Mengfei Cao (), Sicong Li () and Jing Ye ()
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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

A chapter in Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026), 2026, pp 217-230 from Springer

Abstract: 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.

Keywords: Big data; road cold chain transport; operation analysis; spatial distribution (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6239-640-1_20

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DOI: 10.2991/978-94-6239-640-1_20

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