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首页> 外文期刊>KSCE journal of civil engineering >An improvement approach based on DEA-game theory for comparison of operational and spatial efficiencies in urban transportation systems
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An improvement approach based on DEA-game theory for comparison of operational and spatial efficiencies in urban transportation systems

机译：基于DEA博弈论的城市交通系统运营效率和空间效率比较改进方法

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Data Envelopment Analysis (DEA) is a well-known methodology to measure relative efficiencies of transportation systems. In the real world, it is necessary to determine how to combine two separated efficiency measures in a unified structure. The conventional Data Envelopment Analysis (DEA) cannot be applied for these situations. Also, the efficiency scores may not be meaningful, especially when the number of Decision Making Units (DMUs) is insufficient. This study combines DEA and Nash bargaining game as a cooperative game theory approach to evaluate the performance of transportation systems by a large scale of measures. The proposed approach regardless of the number of units discriminates among the units more effectively. Besides, these measures may be classified in different categories and DMUs are evaluated simultaneous with different categories in the competitive environment. In this paper, we define two categories of inputs (operational and spatial) to measure performance of transportation systems. Furthermore, managers determine that each bus line in which category has better performance and in which lines is inefficient. The case study of bus lines evaluation is presented to show the abilities of the proposed approach.
机译：数据包络分析（DEA）是一种众所周知的方法，用于测量运输系统的相对效率。在现实世界中，有必要确定如何在统一结构中组合两个分开的效率度量。常规数据包络分析（DEA）无法应用于这些情况。同样，效率得分可能没有意义，尤其是当决策单位（DMU）的数量不足时。这项研究结合了DEA和Nash讨价还价博弈作为一种合作博弈论方法，通过大规模的措施来评估运输系统的性能。所提议的方法与单位数量无关，可以更有效地区分单位。此外，这些措施可以分为不同的类别，并且在竞争环境中与不同类别同时评估DMU。在本文中，我们定义了两类输入（运营和空间输入）以衡量运输系统的性能。此外，管理人员确定，哪条公交线路在哪个类别中具有更好的性能，哪些线路效率低下。提出了以公交线路评估为例的案例研究，以证明所提出方法的能力。

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