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.
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