铁道运输与经济2025，Vol.47Issue(1)：61-69,9.DOI:10.16668/j.cnki.issn.1003-1421.2025.01.06
不确定需求下冷藏集装箱低碳多式联运路径优化
Route Optimization on Low-Carbon Multimodal Transport of Refrigerated Containers under Uncertain Demand
摘要
Abstract
The route optimization of multimodal transport of refrigerated containers plays an important role in helping achieve cost reduction and efficiency improvement in the transport of fresh agricultural products.Based on the existing studies,this paper first considered the influence of uncertain demand and carbon emissions and built a route optimization model with the triangular fuzzy number introduced to represent uncertain transport demand,whose goal is to reach the minimum generalized logistics cost.Then,this paper adopted the fuzzy chance constrained programming theory to clarify the model and linearized the nonlinear terms.Finally,the paper applied COPT7.0 solver to solve the model and conducted the case solution and the comparative analysis,as well as the sensitivity analysis of carbon tax rates and confidence level.The results show that the multimodal transport of refrigerated containers can reduce the cost of transporting fresh agricultural products and improve its efficiency.Reasonably raising carbon tax rates can effectively promote a shift in the shipping method from by road to by rail,which contributes to low-carbon transport.The enhancement in confidence level is conducive to meeting customer demand.Nevertheless,it meanwhile results in a nonlinear increase in the total transport cost since it always involves an adjustment of the transport scheme,due to the limited transport and transit capacity.关键词
冷藏集装箱/不确定需求/碳排放/多式联运/路径优化Key words
Refrigerated Containers/Uncertain Demand/Carbon Emissions/Multimodal Transport/Route Optimization分类
交通工程引用本文复制引用
苏航,李海军..不确定需求下冷藏集装箱低碳多式联运路径优化[J].铁道运输与经济,2025,47(1):61-69,9.基金项目
中央引导地方科技发展资金项目(22ZY1QA005) （22ZY1QA005）
