低碳驱动下粮食转运枢纽选址及路径优化研究  被引量:2

Research on Location and Path Optimization of Grain Transport Hub Driven by Low Carbon

在线阅读下载全文

作  者:韩建军[1] 张梦琪 郭妍妍 杨雅冰 HAN Jian-jun;ZHANG Meng-qi;GUO Yan-yan;YANG Ya-bing(College of Civil Engineering,Henan University of Technology,Zhengzhou,Henan 450001,China)

机构地区:[1]河南工业大学土木工程学院,河南郑州450001

出  处:《粮油食品科技》2024年第3期211-218,共8页Science and Technology of Cereals,Oils and Foods

基  金:国家粮食局粮食公益性行业科研专项(201513007)。

摘  要:为降低粮食运输的碳排放量,提高粮食运输效率,保障粮食运输安全,从定量分析的角度,构建低碳驱动下粮食转运枢纽选址-路径优化模型,并设计改进遗传算法对该模型求解,对中国现有粮食运输网络布局进行改进和优化,并选取粮食物流重点线路上的部分省会城市进行分析验证。结果表明:研究构建的轴辐式多式联运网络枢纽节点选址-路径优化模型及算法,可使粮食运输总成本降低13.87%,碳排放量降低11.70%,枢纽的平均转运饱和度提升9.66%。该方法适用于实际粮食运输过程,可实现粮食低碳高效运输,为低碳驱动下中国粮食转运枢纽选址及路径规划提供参考。For reduce the carbon emissions of grain transportation,improve ment the efficiency of grain transportation and ensurance the safety of grain transportation,this paper constructed a location-routing optimization model of grain transshipment hub driven by low carbon according to the perspective of quantitative analysis.An improved genetic algorithm was designed to solve the model,which could improve and optimize the layout of China's existing grain transportation network.Finally,some provincial capital cities on the key line of grain logistics were selected for analysis and verification.The results showed that The model and algorithm of hub node sitting-route optimization in hub-spoke multimodal transport network could reduce the total grain transportation cost by 13.87%.Carbon emissions were reduced by 11.70%,and the average transfer saturation of hubs was increased by 9.66%.This method was suitable for the actual grain transportation process,and can realize the low-carbon and efficient transportation of grain,which could provide reference for the location and path planning of Chinese grain transport hub under low-carbon drive.

关 键 词:粮食运输 碳排放 选址-路径规划 轴辐式网络 多式联运 

分 类 号:U115[交通运输工程] F532.4[经济管理—产业经济]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象