枢纽能力利用评价是铁路枢纽规划、总图设计的核心问题,其目的在于全面评价枢纽的能力利用状况,并找出制约能力发挥的关键要素.针对枢纽技术作业集中、高度专业化分工、作业关联性强的特点,采取按照评价对象设计评价指标的思路.将枢纽划分为客运、货运、行车、编解等子系统,将列流径路通畅性、点线能力协调性、编解负荷均衡性等作为评价指标,构建评价指标-评价对象-子系统及其元素-指标项的多系统多层次的指标体系.针对指标体系中各指标项的能力利用特征,设计指标项的能力利用率、负荷性、合理性等多种量度.以枢纽运输作业量为基础设置多层次权重体系,能有效避免主观权重对评价结果的影响,提出基于多层次、多量度、分层权重的枢纽能力利用率评价方法.针对郑州铁路枢纽能力利用率的实际算例进行评价,结果显示该枢纽能力利用率和能力负荷值总体水平较为适中,但枢纽能力分布的合理性有所不足,编组站对枢纽能力具有决定性影响,其中驼峰解体作业环节是枢纽整体能力利用较为突出的瓶颈位置.评价方法能从整体的角度全面、有效评价枢纽能力利用状况,避免了以往枢纽作业评价指标过于碎片化、评价方法难以摆脱主观因素干扰的弊端.

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.

In order to optimize passenger station layout in railway hub,the number and location of high-speed railway passenger station are ensured.By using integer programming model and taking the least total expense combined with engineering construction cost,daily operation expense and passenger distributed fee as evaluation standard,this paper analyzes the confirmation of each parameter in emphases,as well as solution idea and calculation step of the model.Through taking relative optimized scheme of the model as standby scheme,then taking further-step selection by using other mathematic model(like AHP-FUZZY model),the rationality of the fi nal scheme could be ensured.

Combining the formation mechanism of urban community and main properties of optimal combination model among competing transpor- tation modes in urban community, the comprehensive evaluation model for satisfaction reflecting the service level of transportation modes is described by fuzzy mathematics method. Combining the results of evaluation, the selection model for transportation is established based on the will of passengers or consignors.

The node location selection is a planning process that chooses alocation to set up a logistics node in an economy zone with multi demands. Thequantity and distribution of logistics nodes are straightly related to the servicecost and service range of the logistics system. Hence its location selection is akey link in the logistics system planning. The location selection issue of multilogistics nodes can be solved by Baumol-Wolfe model. The paper also illustratesthe application of this model with example.