基于熵- topsis -障碍度的城市轨道交通运营绩效综合评价及障碍因素诊断

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI:10.1109/ISCTT51595.2020.00110

Xue Liang, Zhao Shengchuan

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引用次数: 0

摘要

本文以中国3个不同发展水平的6个典型城市轨道交通运营绩效指标为分析对象。通过经典熵权法确定指标权重，采用topsis(近似理想解排序法)对6个城市轨道交通运营绩效指标进行计算和排序。运用障碍度模型理论对影响城市轨道交通运营绩效的指标进行了分析。本文的研究方法可为国内城市轨道交通运营企业和行业管理提供重要参考，为城市轨道交通运营绩效评价提供新的方法和思路。

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Comprehensive Evaluation of Urban Rail Transit Operation Performance and Diagnosis of Obstacle Factors based on Entropy-TOPSIS-Obstacle Degree

In this paper, the operating performance indicators of six typical urban rail transit in three different development levels in China were taken as the analysis object. The indicator weights were assigned through the classic entropy weight method, and the topsis (approximate ideal solution sorting method) was used to calculate and rank the operation performance indicators of 6 urban rail transit. The obstacle degree model theory was used to analyze the indicators that affect the urban rail transit operation performance. Our research method can be used as an important reference for domestic urban rail transit operating enterprises and industry management, and provide a new method and idea for urban rail transit operation performance evaluation.

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2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)

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