Abstract: In order to quantify the preference of railway design schemes to different indicators in the whole life cycle, the problem of railway index evaluation involved with the subjects preference information under multi-object conditions was studied. The project cycle was divided into three stages, including decision- making and design, construction and operation maintenance. Comparing the participation rates of participants at each stage, different subjects were selected out, and the participated subjects preferences for 3 sub-targets, that is, economic benefit, environmental impact and safety performance were analyzed. Combined with the current index system of railway whole life cycle, the multiple-object index evaluation model was established and solved by Lagrange multiplier method. The results of Guiyang-Guangzhou Railway case study show that the result of this study can better quantify different subjects preference to speed target value (0.442), average attendance rate (0.509) and average turnover (0.493) at each stage in railway whole life cycle, which can provide technical means for decision-makers to choose and compare the design alternatives when the economic, environmental and safety benefits are optimized.

Key words: traffic and transportation engineering, railway transportation, index system, multiple-object evaluation, the whole life cycle, Lagrange multiplier method

摘要： 为了量化铁路设计方案在全生命周期内对不同指标的偏好程度，研究了多目标条件下融合主体偏好信息的铁路指标评价问题。将项目周期分为决策设计、施工建设与运营维护3个阶段， 对比各阶段参与方的参与率选出不同主体，分析参与主体对经济效益、环境影响与安全性能3个子目标的偏好程度，结合现有的关于铁路项目全生命周期的指标体系，构建多目标指标评价模型 并利用拉格朗日乘子法求解。贵广铁路案例结果表明：该研究成果可较好量化各阶段主体对速度目标值(0.442)、平均上座率(0.509)、平均周转量(0.493)等指标的偏好程度，并可为决策者在 以经济、环境和安全等综合效益为优化目标进行设计方案比选时提供技术方法。

关键词: 交通运输工程, 铁路运输, 指标体系, 多目标评价, 全生命周期, 拉格朗日乘子法