Characteristics of life-cycle carbon dioxide emissions of arterial highway maintenance and the influencing factors
作者机构：Key Laboratory of Transport Industry of ManagementControl and Cycle Repair Technology for Traffic Network Facilities in Ecological Security Barrier Area Chang'an UniversityXi'an 710064China Guangzhou Aids to Navigation OfficeSouthem Navigation Service CenterMaritime Safety AdministrationGuangzhou 51000China
出 版 物：《Advances in Climate Change Research》 (气候变化研究进展（英文版）)
年 卷 期：2024年第15卷第4期
页 面：751-765页
核心收录：
学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0706[理学-大气科学]
基 金：The authors thank the following for their financial support:the National Natural Science Foundation of China(51878062,72361137003) the Natural Science Foundation of Shaanxi Province,China(2020JM-246) the Fundamental Research Funds for the Central Universities of China,CHD(300102210214,300102343520)
主 题：Life cycle assessment(LCA) Arterial highway Maintenance Emission factor Pavement performance Traffic volume
摘 要：With the focus of highway development transitioning from construction to maintenance,a comprehensive understanding of the characteristics and influencing factors of carbon dioxide(CO_(2))emissions from highway maintenance activities is crucial for formulating effective strategies to promote the low-carbon development of road ***,the quantitative relationships between CO_(2) emissions from highway maintenance schemes and factors such as pavement deterioration,traffic volume,and road grade remain unclear owing to a lack of compre-hensive,multi-category,and real *** real maintenance data from 340 arterial highway segments in China,this study conducts the life cycle assessment(LCA)to estimate CO_(2) emissions from maintenance activities and examines the primary emission sources among various structural layers and ***,multiple linear regression(MLR)analysis is conducted to investigate the impact of traffic volume,road grade,and pavement deterioration on CO_(2) emissions from maintenance projects,and factors influencing the early-stage degradation of pavement *** results demonstrate that average CO_(2) emissions from heavy rehabilitation projects are 6.97 times higher than those from medium rehabilitation *** from heavy rehabilitation projects exhibit a significantly negative linear relationship with the riding quality index(RQI)before maintenance(p0.05),and emissions from medium rehabilitation projects show a significant negative linear relationship with the pavement condition index(PCI)before maintenance(p0.05).Emissions from heavy and medium rehabilitation projects are significantly positively correlated with heavy vehicle traffic volume before maintenance(p0.05).Moreover,the early-stage degradation of PCI after heavy rehabilitation and RQI after medium rehabilitation exhibit significantly negative linear relationships with their respective in-dicators before maintenance(p0.05).The early-stage d
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