基于熵权TOPSIS的轨道交通线网分级测度

Grading Evaluation Model of Urban Rail Transit Network Based on Entropy TOPSIS

针对传统分级模型指标权重取值难度大、主观性强、灵敏度差的缺点,从可量化角度,以减少指标参数主观取值为目标引入熵权法。结合轨道交通线网特点,提出评价指标体系及指标处理方程,采用能根据原始数据客观赋权的熵权法确定指标权重,再运用TOPSIS法构建基于熵权TOPSIS的轨道交通线网综合评价模型,并通过成都市轨道交通远景预选方案对模型进行实证检验。结果表明:该模型具有较强的科学性与可行性,能有效支持轨道交通线网的综合决策。

It is very difficult, subjective and sensitive ha determining the hadex weights of the conventional grading evaluation model. To avoid these problems, entropy weight method was adopted to build a comprehensive evaluation model for rail transit network. On the basis of the properties of urban rail transit network, the paper presented the evaluation index system and the equations to get the indexes which were calcuhted objectively from original data. Then the entropy TOPSIS evaluation model was built and verifr^xt ha appraising the prospective preliminary programs of Chengdu urban rail transit. The simulation results which were applicable in making comprehensive decisions for rail transit network demonstrated the scientific validity and feasibility of this approach.