Abstract:

Concerning the problem that the Data Envelopment Analysis (DEA) has some shortcomings in showing the differences of weights for the evaluation indexes and sorting and adjusting the efficient decision making units, an improved DEA was proposed. Firstly, the weights of indexes were confirmed by the Analytic Hierarchy Process (AHP) and the preference cone model was built. And then all the decision making units could be sorted in term of the cross efficiency and the parts of the decision making units were adjusted according to the attendance ratio and the ideal decision making units. Finally, the line planning for the Beijing-Shanghai high speed railway was evaluated. The results show that there are four efficient lines among the six lines and two inefficient lines and one of the efficient lines need to be adjusted. The experimental results show that the proposed method can provide theoretical basis for the the adjustment of the train line planning.

Key words: train line planning in high speed railway, dynamic evaluation, multiple input and multiple output problem, Data Envelopment Analysis (DEA), virtual ideal decision making unit

摘要：

针对数据包络分析(DEA)方法不能反映评价指标间权重的差异性以及不能对有效决策单元排序和调整的缺点,提出一种改进的DEA方法.首先, 运用层次分析法确定各指标的权重并建立偏好锥模型;然后, 运用交叉效率对所有决策单元进行排序并根据上座率和理想决策单元对部分决策单元进行调整; 最后,运用该方法对京沪高速列车开行方案进行评价.研究发现6条运行线中有4条是DEA有效的,需要对2条非有效和1条有效运行线进行调整.实验结果表明,改进的DEA方法能够为高速旅客列车开行方案的动态调整提供理论依据.

关键词: 高速列车开行方案, 动态评价, 多输入多输出问题, 数据包络分析, 虚拟理想决策单元