重庆大学学报2026，Vol.49Issue(4)：50-62,13.DOI:10.11835/j.issn.1000-582X.2024.285
铁路工程铺轨基地碳排放测算及影响因素研究
Research on carbon emission calculation and influencing factors of railway track-laying bases
摘要
Abstract
As a major temporary facility in railway construction,the carbon emissions generated by track-laying bases constitute a significant source of embodied carbon during the materialization stage.In this study,a carbon emission measurement model for the life cycle of railway track-laying bases is established using the carbon emission factor method.The characteristic emission contributors are then extracted as potential influencing factors,and key factors are identified by feature-importance ranking.Furthermore,an interpretable machine learning model is used to visualize the contribution of these key factors and to analyze their impact mechanisms on carbon emissions.The results show that the total life cycle carbon emissions of a track-laying base range from 4 825.134 t to 15 122.059 t.Carbon emissions from building materials in the production stage account for the largest share(72%to 86%).According to the importance ranking,the five key influencing factors are base area,foundation treatment method,road hardening method,mechanical track length,and stock track length.The influence of these key factors on carbon emissions are further analyzed by SHAP(Shapley additive explanations)summary plots and dependency scatter plots.The findings provide a theoretical basis for promoting carbon reduction strategies in the construction and operation of railway track-laying bases.关键词
铁路工程/碳排放/随机森林回归/可解释机器学习/影响因素Key words
railway track-laying base/carbon emissions/random forest regression/interpretable machine learning/influencing factors分类
交通工程引用本文复制引用
鲍学英,任海涛,刘北胜,李慧,李子龙..铁路工程铺轨基地碳排放测算及影响因素研究[J].重庆大学学报,2026,49(4):50-62,13.基金项目
中国国家铁路集团有限公司科技研究开发计划实验室基础研究项目资金资助(L2023Z001). Supported by the Basic Research of Science and Technology Research and Development Program Laboratory of China National Railway Group Corporation Limited(L2023Z001). （L2023Z001）
