Low Carbon Multimodal Transportation Route Optimization Considering Customer Satisfaction Constraints under Random Speed
The consideration of customer satisfaction meets the needs of high-quality development of transportation services,which is conducive to the maintenance of customer relations and the improvement of enterprise competitive-ness.Considering the randomness of speed in the transportation process,a stochastic expected value model for multi-modal transport path optimization is constructed,which aims to minimize the total cost including transportation cost,transshipment cost,time cost and carbon emission cost,and takes customer time satisfaction and carbon emission sat-isfaction under carbon compensation policy as key constraints.The model is solved by adaptive genetic algorithm and its effectiveness is tested.Taking the multimodal transportation network with 12 nodes as an example,the influence of parameter changes on transportation scheme and cost is analyzed.The results show that:1)waterway transporta-tion can alleviate the cost pressure and reduce the carbon emission in transportation,but it will prolong the transpor-tation time;2)The reasonable setting of carbon emission quota and compensation price can promote enterprises to seek more economical and environmental protection transportation schemes;3)Transportation schemes constrained by different customer satisfaction thresholds can be divided into four types:cost preference type,time preference type,carbon emission preference type and random type.
万方数据
维普
