ISSN 2096-4498

   CN 44-1745/U

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Design of Urban Intelligent Underground Logistics System Based on Big Data

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  • (1. School of Mines, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China; 2. School of Civil Engineering, Xuzhou University of Technology, Xuzhou 221018, Jiangsu, China)

Online published: 2021-08-29

Abstract

The adverse effects of traffic congestion and environmental degradation caused by the current urban logistics development should be solved. Accordingly, it is proposed to transfer the logistics system from the ground to the underground, and establish a new type of urban intelligent underground logistics system based on big data. First, the city is divided into regions according to the needs of urban logistics, and on this basis, the main line planning and design of underground logistics system are carried out. Second, considering the utilization rate of underground logistics internal space, the transportation pipeline section of the trunk section logistics system is divided into different compartments to realize the concept of "common transportation of trunk sections and dispersed transportation of branches", so as to achieve the ideal effect of different cargo transportation by compartment and efficient operation. Finally, through theoretical analysis, the importance, development prospects, and feasibility of establishing a new underground logistics system are verified.

Cite this article

CHEN Dingchao, YU Yang, LIANG Yanxiang, ZHAO Xiangqian, WANG Xiangyu, HAN Yuheng, LU Jianfei, CHEN Cheng, ZHU Siyu, PAN Yuxin . Design of Urban Intelligent Underground Logistics System Based on Big Data[J]. Tunnel Construction, 2021 , 41(S1) : 308 . DOI: 10.3973/j.issn.2096-4498.2021.S1.039

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