Hierarchical Quantification of CO <sub>2</sub> in Transportation Infrastructure Maintenance: Identifying Key Contributor and Targeting Reduction Department

This paper introduces a hierarchical quantification framework based on process-based life cycle analysis for evaluating CO 2 emissions from departments in transportation infrastructure maintenance. The method decomposes the maintenance process into a carbon responsibility chain consisting of “Maintenance Department–Maintenance Task–Maintenance Activity–Resource Utilization,” enabling a systematic mapping of CO 2 emissions to the corresponding responsible departments. The method allows users to quantify the itemized CO 2 emissions and identify high-emission activities and resources that are responsible by department, assisting in the development of targeted CO 2 reduction strategies. Case studies of expressway, bridge and tunnel maintenance in Shanghai show that the road maintenance department for expressways, the structure maintenance department for bridges and tunnels contribute 70.2%, 69.7%, and 84.7% of emissions in their categories, with annual values of 32.69, 23.60, and 41.40 ton/single-lane kilometer, respectively. At the activity level, “Mechanical paving of SMA asphalt concrete,”“Manual paving of medium-graded asphalt concrete,” and “Tunnel segment joint sealing” are the primary high-emission activities in their respective categories, accounting for 29.4%, 13.2%, and 25.2% of their respective emissions. Accordingly, relevant government agencies and enterprises should prioritize targeted CO 2 reduction strategies for them, such as warm-mix asphalt substitution, low-carbon material replacement, and engineering efficiency optimization. In the case studies, these measures are estimated to reduce CO 2 emissions by 16.2% for expressway maintenance, 9.0% for bridge maintenance, and 3.8% for tunnel maintenance. The proposed framework offers a flexible and effective tool for reducing CO 2 emissions in transportation infrastructure maintenance and provides valuable insights for policymakers and industry stakeholders.

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Publication Details

Journal
Transportation Research Record Journal of the Transportation Research Board
Published
2025-11-04
DOI
https://doi.org/10.1177/03611981251368320
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
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article

Hierarchical Quantification of CO 2 in Transportation Infrastructure Maintenance: Identifying Key Contributor and Targeting Reduction Department

Qin Nie, Haobing Liu, Xiaonian Shan, Bin Zhang
Transportation Research Record Journal of the Transportation Research Board
Environmental Impact and Sustainability
article

Hierarchical Quantification of CO 2 in Transportation Infrastructure Maintenance: Identifying Key Contributor and Targeting Reduction Department

Qin Nie, Haobing Liu, Xiaonian Shan, Bin Zhang
article en

Abstract

This paper introduces a hierarchical quantification framework based on process-based life cycle analysis for evaluating CO 2 emissions from departments in transportation infrastructure maintenance. The method decomposes the maintenance process into a carbon responsibility chain consisting of “Maintenance Department–Maintenance Task–Maintenance Activity–Resource Utilization,” enabling a systematic mapping of CO 2 emissions to the corresponding responsible departments. The method allows users to quantify the itemized CO 2 emissions and identify high-emission activities and resources that are responsible by department, assisting in the development of targeted CO 2 reduction strategies. Case studies of expressway, bridge and tunnel maintenance in Shanghai show that the road maintenance department for expressways, the structure maintenance department for bridges and tunnels contribute 70.2%, 69.7%, and 84.7% of emissions in their categories, with annual values of 32.69, 23.60, and 41.40 ton/single-lane kilometer, respectively. At the activity level, “Mechanical paving of SMA asphalt concrete,”“Manual paving of medium-graded asphalt concrete,” and “Tunnel segment joint sealing” are the primary high-emission activities in their respective categories, accounting for 29.4%, 13.2%, and 25.2% of their respective emissions. Accordingly, relevant government agencies and enterprises should prioritize targeted CO 2 reduction strategies for them, such as warm-mix asphalt substitution, low-carbon material replacement, and engineering efficiency optimization. In the case studies, these measures are estimated to reduce CO 2 emissions by 16.2% for expressway maintenance, 9.0% for bridge maintenance, and 3.8% for tunnel maintenance. The proposed framework offers a flexible and effective tool for reducing CO 2 emissions in transportation infrastructure maintenance and provides valuable insights for policymakers and industry stakeholders.

Transportation Research Record Journal of the Transportation Research BoardVol. 2680(2)
Tongji University (CN), Hohai University (CN), Shanghai Urban Construction Design and Research Institute (Group) (CN), Shanghai Urban Transportation Design Institute (China) (CN)
Openalex Percentile: Top 70%
Environmental Impact and Sustainability
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