交通运输系统工程与信息 ›› 2016, Vol. 16 ›› Issue (6): 115-121.

• 系统工程理论与方法 • 上一篇    下一篇

基于修正熵权的未成网城市轨道交通绩效评价

黄文成,帅斌*,左静,王磊,毛洁   

  1. 西南交通大学交通运输与物流学院,成都610031
  • 收稿日期:2016-04-19 修回日期:2016-05-14 出版日期:2016-12-25 发布日期:2016-12-26
  • 作者简介:黄文成(1992-),男,四川眉山人,博士生.
  • 基金资助:

    国家自然科学基金/ National Natural Science Foundation of China(71173177);国家铁路局科技计划项目/ State Railway Administration Science and Technology Project(KF2013-020).

Corrected Entropy Based Operation Performance Evaluation about Urban Rail Transportation Non-networks System

HUANGWen-cheng, SHUAI Bin, ZUO Jing,WANG Lei, MAO Jie   

  1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China
  • Received:2016-04-19 Revised:2016-05-14 Online:2016-12-25 Published:2016-12-26

摘要:

定期对未成网城市轨道交通系统进行绩效评价,有助于探索轨道交通符合市 场规律的最佳运输组织模式.在考虑未成网城市轨道交通系统特征的基础上,建立绩效评 价指标体系,采用平移修正后的距离熵计算最终分析系数,引入信息损失可容忍度将修正 带来的数据信息损失控制在合理范围内.以昆明城市轨道交通系统为基础的案例研究表 明,建立的指标体系可较好地描述城市轨道交通运营初期特征,列车运行图的调整将大幅 影响城市轨道交通的运营绩效.平移修正后的距离熵可以克服熵权法的固有缺陷,保证所 有指标均对绩效评价起作用,降低人为因素带来的不确定性,提高绩效评价的可靠性.

关键词: 城市交通, 绩效评价, 距离熵, 未成网, 平移修正, 信息损失可容忍度

Abstract:

The regular urban rail transit system performance evaluation process has important function on obtaining the best operation mode. In this paper, we establish an urban transit non- network system performance evaluation system after analyzing its characteristics. Then translation corrected distance entropy based method is applied to calculate the coefficients, the information loss tolerance coefficient is used to control the information loss within a reasonable range. Kunming Urban Rail Transit System case study shows that the established indexes are suitable to describe the metro’s operation characteristics, train operation diagram adjustments would significantly affect the operating performance. Translation corrected based distance entropy can overcome the inherent deficiencies of ordinary entropy method, reduce the uncertainty caused by human evaluation and improve the reliability of performance evaluation.

Key words: urban traffic, performance evaluation, distance entropy method, non-network, translation corrected, information loss tolerance coefficient

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