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提出了一种基于数据包络分析（DEA）和灰色关联分析的区域公路网评价方法。该方法综合了DEA和灰色关联分析两种方法的优势，以灰色关联分析为中心模型，通过复合DEA模型来确定每一个被评价对象（决策变量）中各点关联系数的权重向量，从而计算出相对最优的关联度，实现对评价对象客观的优先排序。该方法不但能克服确定权重时的主观性，而且通过对各指标的“非均一”赋权，有利于达到优先序评价的“最优性”。最后通过对我国部分省区公路网的评价实例说明了方法的有效性。     

公共部门绩效评价的标杆管理与数据包络分析

为克服传统的部门绩效考评中考核权重的主观性，将标杆管理与数据包络分析(DEA)结合，提出一种新的评价方法．在部门内部用DEA找出有效决策单元后，与标杆单元结合，再用DEA比较，选出有效决策单元。此方法既避免了权重的主观权重的影响，又克服了DEA算法本身的相对有效性的缺陷。     

基于DEA模型的江苏省道路交通运输效率评价与分析

应用数据包络分析（DEA）方法对江苏省2004年各省辖市公路交通运输有效性进行了评价。从投入冗余和产出不足两方面分析了非DEA有效单元存在的问题,并进一步针对DEA有效单元进行二次评价。结果显示,苏南地区的城市均为DEA有效和接近有效单元,苏中地区效率表现稍差,苏北地区除徐州、连云港是DEA有效单元外．其余各市公路运输效率水平较低。根据计算结果及分析．提出了改善各地区公路运输有效性的建议。     

多约束条件下城市道路复杂纵断面设计及评价

纵断面是城市道路设计中至关重要的环节,文章系统分析了纵断面设计的关键因素,针对目前多约束条件下的复杂纵断面方案比选缺乏依据,直观定性评价难以选择的实际情况,通过研究评价指标与评价方法的对应关系,提出了基于DEA方法的纵断面方案定量评价方法。     

Eco-design of transportation in sustainable supply chain management: A DEA-like method

This study addresses the issue of eco-design for transportation in sustainable supply chain management (SSCM). Data envelopment analysis (DEA) is adopted and extended to construct a model for this application. This proposed model, together with the tractable algorithm developed in this research, can provide stakeholders with a Pareto Optimal transportation strategy. This derived transportation strategy can help stakeholders realize certain transportation goals with less resource consumption and pollution emission. The discussion presented leads to a heuristic Joint Transportation Policy and concludes with two useful suggestions for putting the strategy into practice. The proposed model was used in an empirical study of design sustainable transportation mechanism for one air-condition manufacturer in China to transport its products as well, the analysis further demonstrating the theoretical and practical value of this research.     

The evaluation of transportation energy efficiency: An application of three-stage virtual frontier DEA

In this paper, transportation energy efficiency is newly defined and its inputs and outputs are obtained through literature review. Labor input, capital input and energy input are selected as the inputs, passenger turnover volume and freight turnover volume are defined as the outputs. A new model—three-stage virtual frontier DEA (three-stage virtual frontier Data Envelopment Analysis) is proposed to evaluate transportation energy efficiencies. The case of thirty Chinese PARs (provincial administrative regions) from 2003 to 2012 is applied to verify its rationality. In the three-stage virtual frontier DEA, the reference DMU (decision-making unit) set and the evaluated DMU set are two different sets so that it can distinguish the DEA efficient DMUs. And in the evaluating process, the reference DMU set remains unchanged to assure its results more reasonable than Super DEA model. The results show that transport structure and management measures have important impacts on transportation energy efficiency.     

Robust constrained control of uncertain macroscopic fundamental diagram networks

This paper considers modeling and control of uncertain Macroscopic Fundamental Diagram (MFD) systems for multiple-region networks. First, the nonlinear vehicle conservation equations based on MFD dynamics, presented in earlier publications, are transformed to linear equations with parameter uncertainties. The parameter uncertainties include the destination decomposition fractions, that are difficult to estimate in reality. Then, the uncertain linear model is utilized to design a robust feedback controller by an interpolation-based approach. This approach (i) guarantees robustness against all parameter uncertainties, (ii) handle control and state constraints, and (iii) present a computationally cheap solution. The main idea is to interpolate between (i) a stabilizing outer controller that respects the control and state constraints and (ii) an inner robustly stable controller designed by any method. The robust control is further challenged to deal with different relative locations of reference accumulation points on the MFD diagrams. Numerical results for a two-region system show that the uncertain linear model can replace the nonlinear model for modeling and control. Moreover, the robust control law is presented as implicit and explicit solutions, where in the implicit case one linear programming (LP) problem is solved at each time instant, while in the explicit case, the control law is shown as a piecewise affine function of state. Finally, a comparison between the interpolating controller and other controllers in the literature is carried out. The results demonstrate the performance advantages from applying the robust interpolating controller.     

DEA改进模型在公路选线综合评价中的应用

将基于虚拟单元的DEA改进模型应用于公路选线综合评价,建立公路选线项目的综合评价指标体系,改进传统的数据包络分析方法。经实例验证,其评价结果符合实际,具有良好的应用价值。     

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城市道路建设序列属于多阶段多指标决策问题. 为提高城市道路建设的有效性,以DEA和TOPSIS法为基础,构建城市道路建设序列的多阶段多指标决策组合模型. 首先利用DEA方法计算每个决策单元的相对有效性;然后对相对有效性进行TOPSIS计算,实现对DEA结果的全排序,从而得到城市道路建设序列决策方案. 这样既组合了DEA对多输入、多输出指标评价的绝对优势和TOPSIS系统性、综合性的优点,又避免了DEA不能进行全排序的缺点,使两种主要的评价方法得到了互补,为该问题的解决提供了新的研究途径;最后应用实际案例验证了该模型能有效地解决城市道路建设序列的多阶段多指标决策问题.     

客运综合枢纽功能区布设与人性化设计研究

在考虑人的心理需求的前提下,对客运综合枢纽候车空间以及站前广场的人均使用面积新的推算,并得出了新的计算值。在分析客运综合枢纽功能区布设一般方法的基础上,给出了主要功能区布设的推荐方法;并对客运综合枢纽客流聚集空间以及信息诱导设施的人性化设计要点进行研究。提出使用基于AHP与DEA综合赋权的层次分析法对客运综合枢纽功能区布设与人性化设计的合理性进行评价。