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隧道建设(中英文) ›› 2025, Vol. 45 ›› Issue (S1): 146-157.DOI: 10.3973/j.issn.2096-4498.2025.S1.016

• 研究与探索 • 上一篇    下一篇

城市轨道交通绿色低碳耦合评价及应用研究

胡世欣1, 张晓伟2, 孟鑫2, 薛鹏1, *, 谢静超1, 刘加平1   

  1. 1. 北京工业大学建筑工程学院, 北京 100124 2. 北京城建设计发展集团股份有限公司, 北京 100045
  • 出版日期:2025-07-15 发布日期:2025-07-15
  • 作者简介:胡世欣(2000—),女,河北石家庄人,北京工业大学土木水利专业在读硕士,研究方向为城市轨道交通评价。 E-mail: hushixin@emails.bjut.edu.cn。 *通信作者: 薛鹏, E-mail: xp@bjut.edu.cn。

Coupled Evaluation and Application of Green and Low-Carbon Urban Rail Transit

HU Shixin1, ZHANG Xiaowei2, MENG Xin2, XUE Peng1, *, XIE Jingchao1, LIU Jiaping1   

  1. (1. College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China; 2. Beijing Urban Construction Design & Development Group Co., Limited, Beijing 100045, China)

  • Online:2025-07-15 Published:2025-07-15

摘要: 为完善城市轨道交通综合评价系统,促进城市轨道交通高质量发展,围绕“绿色低碳”理念,基于城市轨道交通流动空间特性,提出涵盖车站建筑、车轨隧道和通行列车的全生命周期绿色低碳耦合评价方法。通过专家调查法建立包含设计、施工、运营全生命周期及通勤服务便捷、人工环境舒适、资源节约利用和生态环境保护4方面的全场景、全过程、全方位的绿色评价体系,采用层次分析法计算指标权重,得出主观评价分值; 基于全生命周期理论确立碳排放核算边界,采用碳排因子法计算建材生产、施工、运营各阶段的碳排放量,并引入年度人均碳排放量作为评价指标,客观计算碳排放强度。以北京某典型车站作为案例,进行耦合评价模型验证,评估其绿色部分评价分值,并计算年度人均碳排放量。结果表明: 该车站绿色低碳耦合评价结果为绿色评价分值243分、年度人均碳排放量17.2 tCO2e/万人次。为全面提升车站的整体绿色性能并有效降低碳排放,提出针对该车站的全过程优化方案,最终可将绿色评价分值提升至271分,显著降低年度人均碳排放量至13.3 tCO2e/万人次。

关键词: 城市轨道交通, 全生命周期, 流动空间, 绿色评价, 碳排放计算

Abstract: Improved comprehensive evaluation system of urban rail transit can promote high-quality development of urban rail transit. Herein, a green and low-carbon coupling evaluation method covering the whole life cycle of station buildings, vehicle-track tunnels, and passing trains is proposed based on the characteristics of urban rail transit flow space, centering on the concept of "green and low-carbon". The green evaluation part uses the expert survey method to establish a full-scene, full-process, and all-round green evaluation system including the whole life cycle of design, construction, and operation involving convenient commuting service, comfortable artificial environment, resource conservation and utilization, and ecological environment protection. The analytic hierarchy process is used to calculate the index weights and yield the subjective evaluation score. The low-carbon evaluation part establishes the carbon emission accounting boundary based on the whole life cycle theory, and uses the carbon emission factor method to calculate the carbon emissions in each stage of building materials production, construction, and operation. The annual per capita carbon emissions are introduced as an evaluation indicator to objectively calculate the carbon emission intensity. Finally, a case study is conducted on a station in Beijing, and the coupling evaluation model is verified, thus calculating its green evaluation score and annual per capita carbon emissions. The results show that the green and low-carbon coupling evaluation results of the station are 243 points for green evaluation and 17.2 tCO2e per 10 000 people for annual per capita carbon emissions. To comprehensively improve the overall green performance of the station and effectively reduce carbon emissions, a full-process optimization plan for the station is proposed, which ultimately increases the green evaluation score to 271 points and significantly reduces the annual per capita carbon emissions to 13.3 tCOe per 10 000 people.

Key words: urban rail transit, whole life cycle, dynamic space, green evaluation, carbon emission calculation