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Calculation of Carbon Emissions and Study of the Emission Reduction Path of Conventional Public Transportation in Harbin City

Author

Listed:
  • Wenhui Zhang

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

  • Ge Zhou

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

  • Ziwen Song

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

  • Xintao Shi

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

  • Meiru Ye

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

  • Xirui Chen

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

  • Yuhao Xiang

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

  • Wenzhao Zheng

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

  • Pan Zhang

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

Abstract

As the northernmost megacity in China, the long winters, large population size, and unsustainable transport structure in Harbin determine that the city will produce relatively large carbon emissions. The transportation industry is one of the three greenhouse gas emission sources; therefore, the development of low-carbon transportation is imperative. This work compares commonly used carbon emission measurement methods and chooses a mileage method to classify the carbon emissions of conventional buses of different energy types used in Harbin in 2020. A multi-factor grey prediction model was constructed to predict the population size of Harbin and the number of conventional buses. After that, a scenario analysis method was used to analyze the fuel structure of buses in Harbin from three perspectives: a pessimistic scenario, a baseline scenario, and an optimistic scenario. The carbon emissions of conventional buses were calculated for Harbin from 2023 to 2030. Finally, by combining the prediction results and factors influencing carbon emission, a regular bus path to minimize carbon emissions is proposed. The outcome of this study shows that the carbon emission environment in Harbin will be improved by reducing vehicle energy consumption, optimizing energy structure, standardizing driving behavior, building intelligent transportation, giving priority to public transportation, and improving the road network structure.

Suggested Citation

  • Wenhui Zhang & Ge Zhou & Ziwen Song & Xintao Shi & Meiru Ye & Xirui Chen & Yuhao Xiang & Wenzhao Zheng & Pan Zhang, 2023. "Calculation of Carbon Emissions and Study of the Emission Reduction Path of Conventional Public Transportation in Harbin City," Sustainability, MDPI, vol. 15(22), pages 1-17, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:16025-:d:1281788
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    References listed on IDEAS

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    1. Zhang, Shaojun & Wu, Ye & Liu, Huan & Huang, Ruikun & Yang, Liuhanzi & Li, Zhenhua & Fu, Lixin & Hao, Jiming, 2014. "Real-world fuel consumption and CO2 emissions of urban public buses in Beijing," Applied Energy, Elsevier, vol. 113(C), pages 1645-1655.
    2. Ioannis Chatziioannou & Luis Alvarez-Icaza & Efthimios Bakogiannis & Charalampos Kyriakidis & Luis Chias-Becerril, 2020. "A Structural Analysis for the Categorization of the Negative Externalities of Transport and the Hierarchical Organization of Sustainable Mobility’s Strategies," Sustainability, MDPI, vol. 12(15), pages 1-27, July.
    3. Brand, Christian & Goodman, Anna & Rutter, Harry & Song, Yena & Ogilvie, David, 2013. "Associations of individual, household and environmental characteristics with carbon dioxide emissions from motorised passenger travel," Applied Energy, Elsevier, vol. 104(C), pages 158-169.
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    Cited by:

    1. Yunpeng Fu & Zixuan Wang, 2024. "The Impact of Industrial Agglomeration on Urban Carbon Emissions: An Empirical Study Based on the Panel Data of China’s Prefecture-Level Cities," Sustainability, MDPI, vol. 16(23), pages 1-26, November.

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