铁道运输与经济2025，Vol.47Issue(8)：59-68,78,11.DOI:10.16668/j.cnki.issn.1003-1421.2025.08.06
基于组合赋权-TOPSIS法的铁路客站低碳技术适应性研究
Adaptability Study of Low-Carbon Technologies for Railway Passenger Stations Based on Combined Weighting-TOPSIS Method
摘要
Abstract
Railway passenger stations are the second-largest source of carbon emissions during railway operations,making them vital for the industry's transition to low-carbon practices.By constructing a detailed evaluation indicator system containing one goal layer,three criteria layers,and 12 indicator layers for low-carbon technologies in railway passenger stations and based on a method of combined weighting(the analytic hierarchy process and the entropy weight method)and the technique for order preference by similarity to ideal solution(TOPSIS),six low-carbon technologies were evaluated.The results indicate that the carbon reduction rate,carbon emission intensity,and comprehensive energy consumption reduction rate under the environmental benefit criteria and the universality indicator under the technology application criteria exhibit high combined weights.They can be critical evaluation indicators of low-carbon technologies for railway passenger stations.Among the six technologies evaluated,photovoltaic power generation achieves the highest relative closeness score at 0.600 3 and can be the most recommended low-carbon technology.In contrast,geothermal heat pump technology scores the lowest at 0.266 0,demonstrating its limited universality and applicability.These findings provide a scientific foundation for the selection and promotion of low-carbon technologies in railway passenger stations.关键词
铁路客站/碳排放/层次分析法/熵权法/TOPSIS法Key words
Railway Passenger Station/Carbon Emission/Analytic Hierarchy Process/Entropy Weight Method/TOPSIS Method分类
交通工程引用本文复制引用
鲁垠涛,邱圣明,郭淑慧,高玉明,田璞,姚宏..基于组合赋权-TOPSIS法的铁路客站低碳技术适应性研究[J].铁道运输与经济,2025,47(8):59-68,78,11.基金项目
国家自然科学基金-铁路基础研究联合基金项目(U2268208) （U2268208）
