【摘要】 针对交通运输行业探索其货物运输方式及运输路径的最优化进程。从企业微观层面出发,基于成本和时间双重约束,综合考虑碳排放和运输成本因素,并引入碳税机制,通过碳价函数将CO2排放量换算为CO2排放成本,构建以货物运输的碳排放成本、运输成本和转运成本为目标的低碳多式联运路径优化模型,采用遗传算法求解得出最佳低碳多式联运组合方式和路线,并通过案例分析验证模型的可行性。结果表明:低碳多式联运模式通过综合多种运输方式的技术经济优势,可以有效降低货物运输企业的运输成本以及运输碳排放量,在提高企业运输组织水平、降本增效和低碳环保等方面效果显著;合理的碳税税率促使货物运输企业在其所能承受的经济成本范围内选择优化低碳运输路径,有利于促进经济社会低碳可持续发展。更多还原

【Abstract】 Aiming at the transportation industry,this paper explores the optimization process of its cargo transportation methods and transportation routes.Starting from the micro level of the enterprise,based on the dual constraints of cost and time,comprehensively considers carbon emissions and transportation costs,the paper introduces a carbon tax mechanism to convert CO₂ emissions into CO₂ emissions costs through the carbon price function,builds a lowcarbon multimodal transport route optimization model targeting the carbon emission cost,transportation cost and transshipment cost of cargo transportation,uses genetic algorithm to solve the best low-carbon multimodal transport combination mode and route,and verifies it through case analysis.The results show that the low-carbon multimodal transportation mode can effectively reduce the transportation cost and transportation carbon emissions of cargo transportation companies by integrating the technical and economic advantages of multiple transportation methods,which is helpful for improving the level of enterprise transportation organization,reducing costs and increasing efficiency,and low-carbon environmental protection;a reasonable carbon tax rate encourages cargo transportation companies to choose and optimize low-carbon transportation routes within the range of economic costs that can be borne,which is conducive to promoting low-carbon and sustainable economic and social development.更多还原