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Publishing Language: Chinese

Research on carbon emission calculation and influencing factors of railway track-laying bases

Xueying BAO1( )Haitao REN1Beisheng LIU2Hui LI2Zilong LI2
College of Civil Engineering, Lanzhou Jiaotong University, Lanzhou 730070, P. R. China
Institute of Computing Technologies, China Academy of Railway Sciences Corporation Limited, Beijing 100081, P. R. China
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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 4825.134 t to 15122.059 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.

CLC number: U215 Document code: A Article ID: 1000-582X(2026)04-050-13

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Journal of Chongqing University
Pages 50-62

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Cite this article:
BAO X, REN H, LIU B, et al. Research on carbon emission calculation and influencing factors of railway track-laying bases. Journal of Chongqing University, 2026, 49(4): 50-62. https://doi.org/10.11835/j.issn.1000-582X.2024.285

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Received: 12 September 2024
Published: 21 October 2024
© Journal of Chongqing University