摘要
为保障中欧班列多式联运安全,首先选取工作分解结构-风险分解结构(WBS-RBS)法识别中欧班列多式联运全过程中的风险;其次,基于直觉模糊语言集改进传统WBS-RBS中的风险矩阵赋值算法,建立WBS-RBS直觉模糊风险矩阵;然后基于得分函数,结合投影法,融合专家信息,选取直觉模糊加权算术平均(IFWA)算子计算各类风险大小,并对其进行排序;最后,选取“郑州-阿拉山口-阿克套港-巴库港-斯图加特”线路进行案例分析,并从国际沟通、作业管理、技术操作、信息衔接等方面提出保障中欧班列多式联运安全运输的策略与建议。结果表明:阿拉山口口岸站进行票务交接时信息沟通程度、清关作业管理水平及斯图加特站进行基础作业时的社会秩序等是运输环节中较为明显的风险因素。
In order to ensure the safety of the multimodal transportation process of China Railway Express,the WBS-RBS method was selected to identify risks in the entire process of mutimodal transportation of China Railway Express.The traditional WBS-RBS risk matrix assignment algorithm was then improved based on the intuitionistic fuzzy language set,and WBS-RBS intuitionistic fuzzy risk matrix was established.Then,based on the score function of the intuitionistic fuzzy number,combined with the projection method to fuse expert information,the IFWA operator was selected to calculate and rank various risks.Finally,the"Zhengzhou-Alashankou-Aktau Port-Baku Port-Stuttgart"route was selected for the case study,strategies and suggestions for ensuring the safety of multimodal transportation of China Railway Express are put forward from the aspects of international communication,operation management,technical operations,and information connection.The results show that the level of information communication during ticket handover and the level of customs clearance operation management at Alashankou port station,and the social order during basic operation at Stuttgart station are all obvious risks.
作者
法慧妍
帅斌
吕敏
黄文成
FA Huiyan;SHUAI Bin;LYU Min;HUANG Wencheng(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu Sichuan 611756,China;National United Engineering Laboratory of Intergrated and Intelligent Transportation,Southwest Jiaotong University,Chengdu Sichuan 611756,China;National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Chengdu Sichuan 611756,China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2022年第6期200-206,共7页
China Safety Science Journal
基金
国家自然科学基金资助(71173177)
四川省科技厅国际科技创新合作项目(2021YFH0106)
中央高校基本科研费项目(2682021CX052)。
