摘要
为有效控制地铁运营的安全风险,考虑地铁运营安全的特点,引入云模型方法与组合赋权技术,构建地铁运营安全风险评价模型。以西安某地铁所辖线路为例,首先,构建地铁运营安全风险评价三级指标体系,基于欧氏距离组合运用序关系分析(G1)法与熵权法(EW)确定各指标的综合权重系数;然后,依据各指标量化分级标准,采用Matlab确定云的数字特征并生成云图;最后,运用正向云发生器确定各指标的确定度。结果表明:该模型可以减少主观随机性,消除单一的客观误差;所辖T_(1)-~T _(4)运营线路安全风险等级分别为中等(V_(3))、较低(V_(2))、低(V_(1))、中等(V_(3)),与实际评价结果吻合较好。
In order to effectively control risks of metro operation,a cloud modeling method and combination weighting technology were introduced,and a risk assessment model was established considering features of metro operation safety.With a subway line in Xi'an is as research background,a three-level index system of risk evaluation was constructed,and comprehensive weight coefficients of each index were determined based on Euclidean distance combination and by using G1 method and EW method.Secondly,based on quantitative grading criteria of each index,numerical characteristics of clouds were determined and cloud maps were generated by utilizing Matlab.Finally,certainty degree of indexes was determined through forward cloud generators.The results show that the proposed risk assessment model can not only reduce subjective randomness,but also eliminate single objective error.Safety risk levels of T_(1)-T _(4) operating lines under its jurisdiction are medium(V_(3)),low(V_(2)),low(V_(1))and medium(V_(3)),which are in good agreement with actual evaluation results.
作者
张渺
ZHANG Miao(Xi'an Rail Transit Group Co.,Ltd.,Operating Branch,Xi'an Shaanxi 710016,China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2022年第6期163-170,共8页
China Safety Science Journal
关键词
序关系分析(G1)法
熵权法(EW)
组合赋权云模型
地铁运营
安全风险评价
sequential relationship analysis(G1)method
entropy weight(EW)method
combination weighting cloud model
metro operation
safety risk assessment