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姜大元, 徐一鸣, 邓连波, 梅宏达. 基于子系统划分的铁路枢纽能力利用率评价方法[J]. 铁路计算机应用, 2021, 30(1): 10-14.
引用本文: 姜大元, 徐一鸣, 邓连波, 梅宏达. 基于子系统划分的铁路枢纽能力利用率评价方法[J]. 铁路计算机应用, 2021, 30(1): 10-14.
JIANG Dayuan, XU Yiming, DENG Lianbo, MEI Hongda. Evaluation method of railway hub capacity utilization based on subsystem division[J]. Railway Computer Application, 2021, 30(1): 10-14.
Citation: JIANG Dayuan, XU Yiming, DENG Lianbo, MEI Hongda. Evaluation method of railway hub capacity utilization based on subsystem division[J]. Railway Computer Application, 2021, 30(1): 10-14.

基于子系统划分的铁路枢纽能力利用率评价方法

Evaluation method of railway hub capacity utilization based on subsystem division

  • 摘要: 针对铁路枢纽能力利用率评价问题,从铁路枢纽的运输组织特性出发,将枢纽划分为客运、货运、行车、编解等子系统,构建枢纽子系统-构成要素-评价指标3个层次的指标体系。按照各指标项的适中型特征构造评价得分函数,设计包括子系统权重、构成要素权重和指标权重的层次化权重设置方法,建立基于子系统划分的枢纽能力利用率评价方法。开发了枢纽能力利用率评价软件,以郑州枢纽为实例进行评价分析,结果表明:该枢纽各子系统能力差异较大,编解瓶颈对枢纽能力制约较为显著。评价方法可全面评价枢纽能力状况、分析识别制约枢纽能力的瓶颈,为枢纽运输组织和总图设计提供决策依据。

     

    Abstract: To evaluate the capacity utilization of railway hub, the railway hub is divided into several subsystems including passenger transport subsystem, freight transport subsystem, train operation subsystem and marshaling subsystem according to the characteristics of transportation organization of railway hub. A three-level index system including hub subsystems, constituent elements and evaluation indexes is constructed. Furthermore, the index measure function is constructed according to the moderate characteristic of each index item, the setting method of hierarchical weights for subsystems, constituent elements and evaluation indexes is designed, and the evaluation method of railway hub capacity utilization is established. On the basis of this, the software of railway hub capacity utilization evaluation is also developed and a case study on Zhengzhou railway hub is also presented. The results show that the subsystems of the railway hub have a great difference in their capability and the bottlenecks of marshaling yards have been significant constraints on the hub's capacity. The proposed method can provide decision support for transportation organization and general layout design of a railway hub by comprehensively evaluating its capacity utilization and identifying the bottlenecks.

     

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