Abstract
An optimization model is proposed in this paper to solve the transportation mode selection and the demand allocation problem with environmental and economic performance considered. The case study based on the regional logistics of Pearl River Delta (PRD) in Guangdong province of China illustrates that the optimal solution changes significantly when carbon emission is introduced into the optimization objective. More ocean and less ordinary road transportation will be adopted when environmental performance matters, and it is possible to greatly reduce the carbon emission while keeping the transportation cost not increase dramatically. However, there exist a tradeoff between emission reduction and the transportation cost. The proposed model can also be extended to take the transportation time and due dates of demands into consideration in the process of multimodal transportation network optimization. Copyright © 2017 IEEE.
| Original language | English |
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| Title of host publication | Proceedings of 2017 International Conference on Service Systems and Service Management |
| Place of Publication | USA |
| Publisher | IEEE |
| ISBN (Electronic) | 9781509063703 |
| ISBN (Print) | 9781509063710 |
| DOIs | |
| Publication status | Published - 2017 |