Customer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decision
Abstract With the optimal operating cost and optimal carbon emission target of the chemical logistics companies, a low-carbon routing optimisation with a multi-energy type vehicle combined problem is proposed by considering the concept of the logistics companies’ low-carbon behaviour. An integrated...
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2021-09-01
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Online Access: | https://doi.org/10.1038/s41598-021-98028-2 |
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doaj-e62f0cf7f13a4faead0be61e5355857f2021-09-19T11:32:23ZengNature Publishing GroupScientific Reports2045-23222021-09-0111111510.1038/s41598-021-98028-2Customer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decisionHanwen Liu0Xiaobing Liu1Sardar M. N. Islam2Xueqiao Yu3Qiqi Miao4Yapin Chen5Lin Lin6School of Economics and Management, Dalian University of TechnologySchool of Economics and Management, Dalian University of TechnologyISILC, Victoria UniversityTransportation & Economics Research Institute, China Academy of Railway Sciences Corporate LimitedSchool of Economics and Management, Dalian University of TechnologyFaculty of Geography, Yunnan Normal UniversityCRRC Dalian R&D Co., Ltd.Abstract With the optimal operating cost and optimal carbon emission target of the chemical logistics companies, a low-carbon routing optimisation with a multi-energy type vehicle combined problem is proposed by considering the concept of the logistics companies’ low-carbon behaviour. An integrated decision-making of multi-energy type vehicles combined strategy and route optimisation based on customer demand is presented, and an improved genetic algorithm is designed. A case study is then applied based on the data collected from the case research. The effectiveness of the improved genetic algorithm is tested. The two joint objectives of operating cost and carbon emission are examined through the cost analysis of environmental energy vehicles and traditional energy vehicles in different combination scenarios. The case analysis shows that a rational multi-energy type vehicle combination with route optimisation has a significant correlation with the operating cost and carbon emissions, while the environmental vehicle purchasing cost reduction and subsidy policy affect the operating cost.https://doi.org/10.1038/s41598-021-98028-2 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hanwen Liu Xiaobing Liu Sardar M. N. Islam Xueqiao Yu Qiqi Miao Yapin Chen Lin Lin |
spellingShingle |
Hanwen Liu Xiaobing Liu Sardar M. N. Islam Xueqiao Yu Qiqi Miao Yapin Chen Lin Lin Customer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decision Scientific Reports |
author_facet |
Hanwen Liu Xiaobing Liu Sardar M. N. Islam Xueqiao Yu Qiqi Miao Yapin Chen Lin Lin |
author_sort |
Hanwen Liu |
title |
Customer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decision |
title_short |
Customer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decision |
title_full |
Customer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decision |
title_fullStr |
Customer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decision |
title_full_unstemmed |
Customer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decision |
title_sort |
customer demand-driven low-carbon vehicles combined strategy and route optimisation integrated decision |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2021-09-01 |
description |
Abstract With the optimal operating cost and optimal carbon emission target of the chemical logistics companies, a low-carbon routing optimisation with a multi-energy type vehicle combined problem is proposed by considering the concept of the logistics companies’ low-carbon behaviour. An integrated decision-making of multi-energy type vehicles combined strategy and route optimisation based on customer demand is presented, and an improved genetic algorithm is designed. A case study is then applied based on the data collected from the case research. The effectiveness of the improved genetic algorithm is tested. The two joint objectives of operating cost and carbon emission are examined through the cost analysis of environmental energy vehicles and traditional energy vehicles in different combination scenarios. The case analysis shows that a rational multi-energy type vehicle combination with route optimisation has a significant correlation with the operating cost and carbon emissions, while the environmental vehicle purchasing cost reduction and subsidy policy affect the operating cost. |
url |
https://doi.org/10.1038/s41598-021-98028-2 |
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1717375732583235584 |