摘要
针对集装箱多式联运中的路径选择和环境污染问题,建立了以运输阶段费用和碳排放指标均最小化的双目标规划模型。模型中借鉴Dijkstra标号算法思路,考虑了集装箱的铁路和水路办理站的中转费用,并通过基于活动的方法估算碳排放量,同时结合国家"公转铁、公转水"运输结构调整的背景,编程计算了若干实例的最短路径及碳排放指标,结果表明调整运输结构后最短路径发生变化,碳排放指标明显降低。碳排放指标的降低,为发展绿色物流、低碳经济、推进生态文明建设做出了贡献。
It was established about a dual-objective programming model to solve the problem of path selection and environmental pollution in container multi-modal transport,that was integrated minimum of both transportation stage cost and carbon emission index.The Dijkstra labeling algorithm was used,the delivery costs were included at container railway and waterway stations,the carbon emission was estimated by activity-based approach,at the same time the background of the national transport structure adjustment was combined with in the model.It turned out that the shortest path changed and the carbon emission index was reduced by programming of several instances under adjused the transportation structure.The reduction of carbon emission indicators is conductive to the development of green logistics,low-carbon economy,and the promotion of ecological civilization.
作者
柳培学
刘新花
LIU Peixue;LIU Xinhua(Logistics Centre of Jiu Steel Group,Jiayuguan 735100,China)
出处
《物流科技》
2019年第2期129-132,共4页
Logistics Sci-Tech
关键词
集装箱
多式联运
碳排放
plasma
carbonitriding
surface modification