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作 者:王清洲 张玉宁 陈佳梦 宋倜 WANG Qing-zhou;ZHANG Yu-ning;CHEN Jia-meng;SONG Ti(Civil and Transportation College,Hebei University of Technology,Tianjin 300401,China)
机构地区:[1]河北工业大学土木与交通学院,天津300401
出 处:《大连海事大学学报》2020年第3期22-30,共9页Journal of Dalian Maritime University
基 金:国家自然科学基金资助项目(51678212)。
摘 要:为解决复杂运输情景下的绿色多式联运路径优化问题,以运输时间、运输费用、碳排放量和综合能耗为目标,建立基于Witness仿真的路网模型,计算路网可行性方案的运输参数值;根据多式联运决策者的运输偏好和货物运输需求,构建运输情景,以熵权-层次分析法求解多目标优势路径问题,并以武汉—汉堡路网为例验证模型的准确性.结果表明:基于Witness仿真的多情景、多目标效率评价方法可有效求解多式联运路径选择问题;不同运输情景的优势路径存在显著差异,经济效益差值达9.7%,节能减排效益相差11.8%;中欧班列在长距离运输中具有独特运输优势,可比水运方案降低碳排放量40%,节省60%以上的运输时间;中转环节效率提升30%,优势运输路径数量增加48.5%,显著影响公铁联运方式的选用.In order to solve the problem of green multimodal transport route optimization under complex transport scenarios,a road network model based on Witness simulation was established to calculate the transportation parameters of the road network feasibility,which aimed at transport time,transport cost,carbon emission and comprehensive energy consumption.According to the transport preferences and cargo transportation demands of multimodal transport decision-makers,a transport scenario was constructed to solve the multi-objective dominant path problem by using entropy weight-analytic hierarchy process,and Wuhan-Hamburg road network was taken as an example to verify the accuracy of the model.The results show that the multi-scenario and multi-objective efficiency evaluation method based on Witness simulation can effectively solve the multi-modal transportation route selection problem.The dominant routes in different transportation scenarios have significant differences,the economic benefit difference reaches 9.7%,and the energy saving and emission reduction benefits differ by 11.8%;China-Europe trains have unique transportation advantages in long-distance transportation,which can reduce carbon emissions by 40%and save more than 60%of transportation time compared with water transportation schemes;the efficiency of transit links is increased by 30%,and the number of advantageous transportation routes increases by 48.5%,which significantly affect the choice of rail-road combined transportation mode.
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