【摘要】 采用分层抽样理论，提出道路货运企业运营安全调查方法；以企业拥有的货车数为标准，设定企业的安全教育次数、安全检查次数、交通违章次数和交通事故次数为评价指标，运用熵权法确定评价指标权重，基于逼近理想解排序(TOPSIS)理论，提出道路货运企业运营安全评估方法，测算企业运营安全评估值；通过分析某省域5个重点地市469个道路货运企业的样本数据，验证评估方法的可行性。结果表明：模型相对接近度的变异系数为16.45%,具有良好的离散度；实例省份规下企业的分层抽样比例为6.04%,可有效减少评估工作量；企业的交通违章次数、交通事故次数2项评价指标权重分别为24.49%、34.93%,平均高于正向型评价指标9.42%。该方法可为省域道路货运行业的安全管理提供技术支撑。更多还原

【Abstract】 Investigating method for the operational safety of road freight enterprises was proposed by using stratified sampling theory. Taking the number of trucks owned by the enterprise as the standard, the number of safety education, safety inspections, traffic violations, and traffic accidents were set as evaluation indicators, and the entropy weight method was used to determine the weight of evaluation indicators. Based on the TOPSIS theory, the evaluation method for the operational safety of road freight enterprises was proposed, and the operational safety evaluation values of road freight enterprises were calculated. By analyzing sample data from 469 road freight enterprises in 5 key cities of a certain province, the feasibility of the proposed method was verified. The results show that the coefficient of variation for the relative proximity of the proposed model is 16.45%, indicating good dispersion. The stratified sampling proportion of enterprises under regulations in the sample province is 6.04%, which can effectively reduce the workload of evaluation. The weights of the two evaluation indicators, that is, the number of traffic violations and the number of traffic accidents of enterprises are 24.49% and 34.93%, respectively, which are higher than the positive evaluation indicators by an average of 9.42%. The proposed method can provide technical support for the safety management of the provincial road freight industry.更多还原