Open AccessResearch on reducing carbon emissions from logistics
Author(s) -
Xiaobing Pei,
Zhiwei Sun
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/440/4/042013
Subject(s) - greenhouse gas , environmental economics , business , heuristic , carbon fibers , order (exchange) , global warming , environmental science , energy consumption , carbon dioxide , path (computing) , transport engineering , waste management , natural resource economics , computer science , climate change , engineering , economics , ecology , finance , algorithm , artificial intelligence , composite number , electrical engineering , biology , programming language
The Earth is warming at an unprecedented rate. The carbon emissions generated by logistics and transportation have caused a lot of impact on the environment. It is extremely urgent to take certain actions to alleviate the energy consumption and carbon dioxide emissions of logistics and transportation. It is recommended to use other heuristic algorithms to optimize the path and distribution order to reduce the carbon emissions of the logistics and transportation industry while ensuring that the goods are delivered as required.