Research on Green Transport Mode of Chinese Bulk Cargo Based on Fourth-Party Logistics
Author(s) -
Jixiao Wu,
Yinghui Wang,
Wenlu Li,
Haixia Wu
Publication year - 2021
Publication title -
journal of advanced transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.577
H-Index - 46
eISSN - 2042-3195
pISSN - 0197-6729
DOI - 10.1155/2021/6142226
Subject(s) - mode (computer interface) , particle swarm optimization , transport engineering , green logistics , china , mode of transport , business , carbon fibers , road transport , environmental economics , environmental science , computer science , engineering , public transport , economics , algorithm , machine learning , composite number , law , political science , operating system
Due to the problems such as the excessive proportion of road transport and extreme carbon emission situation of China’s transport structure adjustment, this paper combines the fourth-party logistics with the bulk cargo green transport. It is advancing the adjustment of China’s bulk cargo transport structure using fourth-party logistics. This paper improves the particle swarm optimization algorithm to compare the integrated cost and carbon emissions of different bulk fourth-party transport networks to verify the benefits of the fourth-party logistics on bulk cargo transport networks’ cost reduction and emission reduction. The results show that using the fourth-party logistics model to promote the transfer of cargoes from road to rail can reduce the integrated cost of the transport network, reduce carbon emissions, and achieve green transport.
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