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Eco-Efficient Transition Pathways for Urban Transportation: A Case Study of Chengdu’s Decarbonization Initiatives

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  • Qinyi Liu

    (Beijing Huayun Traffic Consulting Development Company, Beijing 100038, China)

  • Chenglin Ma

    (School of Civil Engineering and Transportation, Northeast Forestry University, Harbin 150040, China)

Abstract

Under the “dual-carbon goals” (carbon peaking and carbon neutrality), the accelerated global transition toward green and low-carbon development has become an irreversible trend. As a key carbon-emitting sector in China, the transportation industry accounts for approximately 10% of the nation’s total carbon emissions. Transportation decarbonization is therefore critical not only for addressing global climate change challenges and fulfilling international emission reduction commitments but also for driving the industry’s green transformation, optimizing energy structures, enhancing public livelihood and ecological environment quality, and, ultimately, achieving sustainable development. Taking Chengdu as a case study, systematically, this paper (1) objectively summarizes the current status and achievements of green development in Chengdu’s transportation sector; (2) identifies bottlenecks hindering its green transition; (3) calculates carbon emissions across various transport modes in recent years using the GHG Protocol framework to identify key influencing factors; and (4) proposes targeted strategies to establish Chengdu as a national pioneer in developing innovative “dual-carbon” pathways for transportation. The findings are intended to provide decision-making support for building a low-carbon transportation system that aligns with Chengdu’s megacity development goals.

Suggested Citation

  • Qinyi Liu & Chenglin Ma, 2025. "Eco-Efficient Transition Pathways for Urban Transportation: A Case Study of Chengdu’s Decarbonization Initiatives," Sustainability, MDPI, vol. 17(11), pages 1-18, May.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:11:p:4949-:d:1666308
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    References listed on IDEAS

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    1. Liu, Yiming & Yu, Yang & Baldacci, Roberto & Tang, Jiafu & Sun, Wei, 2025. "Optimizing carbon emissions in green logistics for time-dependent routing," Transportation Research Part B: Methodological, Elsevier, vol. 192(C).
    2. Gao, Yuan & Chong, Chin Hao & Liu, Gengyuan & Casazza, Marco & Xiong, Xiaoping & Liu, Bojie & Zhou, Xuanru & Zhou, Xiaoyong & Li, Zheng & Ni, Weidou & Hao, Yan & Ma, Linwei, 2024. "Identification of carbon responsibility factors based on energy consumption from 2005 to 2020 in China," Energy, Elsevier, vol. 296(C).
    3. Lingchun Hou & Yuanping Wang & Yingheng Zheng & Aomei Zhang, 2022. "The Impact of Vehicle Ownership on Carbon Emissions in the Transportation Sector," Sustainability, MDPI, vol. 14(19), pages 1-23, October.
    4. Xirui Li & Junqi Tang & Weidong Li & Qingmin Si & Xinyao Guo & Linqing Niu, 2023. "A Bibliometric Analysis and Visualization of Aviation Carbon Emissions Studies," Sustainability, MDPI, vol. 15(5), pages 1-20, March.
    5. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    6. Xue-ting Jiang & Min Su & Rongrong Li, 2018. "Investigating the Factors Influencing the Decoupling of Transport-Related Carbon Emissions from Turnover Volume in China," Sustainability, MDPI, vol. 10(9), pages 1-17, August.
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