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Research on Transportation Carbon Emission Peak Prediction and Judgment System in China

Author

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  • Yanming Sun

    (College of Transportation, Shandong University of Science and Technology, Qingdao 266590, China
    International Cooperation Center of National Development and Reform Commission, Beijing 100038, China)

  • Yile Yang

    (College of Transportation, Shandong University of Science and Technology, Qingdao 266590, China)

  • Shixian Liu

    (College of Transportation, Shandong University of Science and Technology, Qingdao 266590, China)

  • Qingli Li

    (International Cooperation Center of National Development and Reform Commission, Beijing 100038, China)

Abstract

The transportation sector is a major contributor to carbon emissions, and managing its carbon peak is essential for China to reach the 2030 carbon peak target. This paper uses the autoregressive integrated moving average model (ARIMA) to design baseline scenarios and “double carbon” scenarios (carbon peak and carbon neutrality) based on the accounting of transportation carbon emissions in 30 provinces and cities in China to facilitate regional differentiation and forecast the development trend of transportation carbon emissions. Using the fuzzy comprehensive evaluation method, a comprehensive transportation carbon emission research and judgment system has been developed based on the forecast results. The research indicates a substantial increase in carbon dioxide (CO 2 ) emissions from transport in China over the past 15 years, with an average growth rate of 5.9%, from 387.42 mt in 2005 to 917.00 mt in 2019. In the scenario prediction analysis, the overall carbon emission of the “two-carbon” scenario exhibits varying levels of reduction compared with the baseline scenario. According to the comprehensive research and judgment system, when the comprehensive evaluation index corresponding to the turning point year of transportation carbon emissions is greater than 0.85, and the index remains above 0.85 after the turning point, it can be judged that a region has achieved the peak of transportation carbon dioxide emissions under 95% possibility. It shows that China ’ s policies and strategies for carbon and emission reduction have played a significant role in transportation, but the low-carbon transformation and development still face great challenges.

Suggested Citation

  • Yanming Sun & Yile Yang & Shixian Liu & Qingli Li, 2023. "Research on Transportation Carbon Emission Peak Prediction and Judgment System in China," Sustainability, MDPI, vol. 15(20), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:14880-:d:1260012
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    Cited by:

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    5. Yanming Sun & Kaixin Liu & Qingli Li, 2025. "Decoding China’s Transport Decarbonization Pathways: An Interpretable Spatio-Temporal Neural Network Approach with Scenario-Driven Policy Implications," Sustainability, MDPI, vol. 17(15), pages 1-21, August.
    6. Ling Hou & Huichao Chen, 2024. "The Prediction of Medium- and Long-Term Trends in Urban Carbon Emissions Based on an ARIMA-BPNN Combination Model," Energies, MDPI, vol. 17(8), pages 1-19, April.
    7. Kishwar Ali & Qingyu Zhang & Muhammad Kamran Khan & Zakaria Boulanouar & Fadhila Hamza & Sami Ullah, 2025. "China’s transition to sustainable transport assessing the impact of financial innovation, patent innovation, and bioenergy: evidence from an innovative time–frequency analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-26, December.
    8. Chao Dai & Yuan Tan & Shuangping Cao & Hong Liao & Jie Pu & Haiyan Huang & Weiguang Cai, 2024. "Analysis and Short-Term Peak Forecasting of the Driving Factors of Carbon Emissions in the Construction Industry at the Provincial Level in China," Energies, MDPI, vol. 17(16), pages 1-15, August.

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