基于变权TOPSIS 的城市轨道交通运营水平评价研究.
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| Title: | 基于变权TOPSIS 的城市轨道交通运营水平评价研究. (Chinese) |
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| Alternate Title: | Research on Evaluation of Urban Rail Transit Operation Level Based on Variable Weight TOPSIS. (English) |
| Authors: | 石振武, 张成琳, 王金茹 |
| Source: | Railway Standard Design; Nov2025, Vol. 69 Issue 11, p56-123, 9p |
| Subject Terms: | TOPSIS method, EVALUATION methodology, ENERGY consumption, PUBLIC transit, SUSTAINABLE development, QUALITY of service |
| Geographic Terms: | CHINA |
| Abstract (English): | To quantify the dynamic changes in urban rail transit operation levels, 38 indicators from seven aspects--basic, passenger flow, operation, safety, service, energy consumption, and financial--were selected to construct an evaluation index system for urban rail transit operation levels. Using the entropy method, a penalty variable weight function under the concept of variable weight was introduced to determine indicator weights, establishing a variable weight TOPSIS evaluation model for urban rail transit operation. Taking Chinas urban rail transit system as a case study, an empirical analysis was conducted to examine the operation levels under four evaluation methods, including TOPSIS and comprehensive index evaluation, before and after applying variable weights. The results showed that Chinas urban rail transit operation levels exhibited a consistent trend toward the ideal state from 2014 to 2023. Across all four evaluation methods, the 2014 results were the least ideal, the 2023 results were the best, and a minor peak occurred in 2021. The weights adjusted by the variable weight method could more reasonably reflect the dynamic development levels and accurately identified the key factors restricting urban rail transit operation each year, including the average travel speed and traction energy consumption ratio in 2015; the proportion of cities achieving planned fulfillment rates of 100% or higher in 2016; the average traction energy consumption per passenger-kilometer in 2017; the average total electricity consumption per passenger-kilometer in 2018; the proportion of non-subway transit systems in 2020; and the punctuality rate in 2021. Meanwhile, the number of green urban rail transit policies and force majeure events, such as public health emergencies, significantly affected operation levels. Implementing measures such as promulgating more green urban rail transit policies and improving service quality could facilitate steady growth in passenger volume, reduce energy consumption, improve emergency response capabilities, and further promote the sustainable development of urban rail transit operations. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): | 为量化城市轨道交通运营发展水平的动态变化,选取基础指标、客流指标、运行指标、安全指标、服务指标、 能耗指标和财务指标7 个方面共38 个指标构建城市轨道交通运营水平评价指标体系。利用熵值法并在此基础上 引入变权思想下的惩罚型变权函数确定指标权重,构建变权TOPSIS 城市轨道交通运营评价模型。以中国城市轨 道交通系统为例进行实证分析,研究变权前后在TOPSIS 和综合指数评价4 种方法下的运营发展水平。结果表明, 中国城市轨道交通运营发展水平在2014--2023 年间呈现向理想状态持续接近的趋势,在4 种评价方法下,2014 年 评价结果最不理想,2023 年评价结果最好,且在2021 年呈现出一个小高峰;变权调整后的权重能更合理地体现其 动态发展水平,精准识别制约各年份城市轨道交通运营发展的关键因素,如2015 年平均旅行速度和牵引能耗占 比、2016 年计划兑现率均达到或超过100%的城市比例、2017 年平均每人次公里牵引能耗、2018 年平均每人次公里 总电能耗、2020 年除地铁以外其他制式占比、2021 年正点率等;同时绿色城市轨道交通政策数量和突发公共卫生 事件等不可抗力对运营发展水平产生较大影响,可以通过增加颁布绿色城市轨道交通政策数量、采取提升服务水 平等措施实现客运量的稳步增长、降低能源消耗以及提升其对突发事件的应对能力,进一步推进城市轨道交通运 营的可持续发展. [ABSTRACT FROM AUTHOR] |
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| Database: | Complementary Index |
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