Carbon emissions of urban rail transit in Chinese cities: A comprehensive analysis.

Pu, Jing; Cai, Chen; Guo, Ru; Su, Jiangchuan; Lin, Ruimin; Liu, Jia; Peng, Kaiming; Huang, Chaoguang; Huang, Xiangfeng

Pu, Jing; Cai, Chen; Guo, Ru; Su, Jiangchuan; Lin, Ruimin; Liu, Jia; Peng, Kaiming; Huang, Chaoguang; Huang, Xiangfeng.

Affiliation

Pu J; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, PR China; Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai 200092, PR China; Institute of Carbon Neutrality, Tongji University, Shanghai 200092, PR China.
Cai C; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, PR China; Institute of Carbon Neutrality, Tongji University, Shanghai 200092, PR China. Electronic address: caic@tongji.edu.cn.
Guo R; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, PR China; Institute of Carbon Neutrality, Tongji University, Shanghai 200092, PR China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, PR China.
Su J; Fuzhou Metro Group Co., Ltd, Fujian, Fuzhou 350009, PR China.
Lin R; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, PR China.
Liu J; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, PR China; Institute of Carbon Neutrality, Tongji University, Shanghai 200092, PR China.
Peng K; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, PR China; Institute of Carbon Neutrality, Tongji University, Shanghai 200092, PR China.
Huang C; Fuzhou Metro Group Co., Ltd, Fujian, Fuzhou 350009, PR China.
Huang X; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, PR China; Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai 200092, PR China; Institute of Carbon Neutrality, Tongji University, Shanghai 200092, PR China.

Sci Total Environ ; 921: 171092, 2024 Apr 15.

Article in En | MEDLINE | ID: mdl-38387573

ABSTRACT

ABSTRACT

Thoroughly exploring carbon emissions within Urban Rail Transit (URT) systems is crucial for effectively reducing emissions while satisfying increasing energy demands. This study evaluated the spatiotemporal characteristics of carbon emissions in China's URT sector. Tapio decoupling and the Logarithmic Mean Divisia Index, used to scrutinize decoupling states and identify principal contributing factors, respectively, revealed the following (1) Total emissions increased by 217 %, with significant spatiotemporal heterogeneity from 2015 to 2022. Type I and Type II cities accounted for >85 % of emissions but exhibited lower carbon intensity. (2) Most URT cities showed expansion-negative decoupling between economic growth and carbon emissions. Developed regions show strong decoupling, and the overall decoupling status improved in 2021-2022. (3) Emissions growth was influenced by energy intensity and economic activity, and transportation intensity was the main inhibitor for Type I cities and a driving force for other cities. Finally, recommendations for carbon emission reduction in the URT industry are proposed.

Key words

Carbon emissions; Carbon intensity; Decoupling analysis; LMDI decomposition; Spatiotemporal analysis; Urban rail transit

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