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Sustainable development pathway for intercity passenger transport: A case study of China

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  • Tang, Bao-Jun
  • Li, Xiao-Yi
  • Yu, Biying
  • Wei, Yi-Ming

Abstract

The transportation sector is responsible for a major share of energy-related greenhouse gas (GHG) emissions worldwide. There is already great concern about the fast-growing energy demand and carbon emissions from China’s transportation sector. This study focuses on intercity passenger transport and aims to simulate its future energy demand and carbon emissions pathway by optimizing its technology portfolio based on a developed C3IAM/NET-Transport model. The energy-saving and carbon emission-reduction potential of countermeasures, such as optimizing the transportation structure, improving energy efficiency and promoting alternative fuels were investigated thoroughly and a sustainable development pathway for vehicle technologies and fuels in China’s intercity passenger transport was identified. The model results show that by taking joint countermeasures, intercity passenger transport could save 2515.5 Mtce energy consumption and lead to a cumulative reduction of 8447.4 MtCO2 between 2015 and 2050. China’s intercity passenger transport would peak at the total CO2 emissions of 448.7 MtCO2 in 2030.

Suggested Citation

  • Tang, Bao-Jun & Li, Xiao-Yi & Yu, Biying & Wei, Yi-Ming, 2019. "Sustainable development pathway for intercity passenger transport: A case study of China," Applied Energy, Elsevier, vol. 254(C).
    • Handle: RePEc:eee:appene:v:254:y:2019:i:c:s0306261919313194
    DOI: 10.1016/j.apenergy.2019.113632
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    4. Wen, Yifan & Wu, Ruoxi & Zhou, Zihang & Zhang, Shaojun & Yang, Shengge & Wallington, Timothy J. & Shen, Wei & Tan, Qinwen & Deng, Ye & Wu, Ye, 2022. "A data-driven method of traffic emissions mapping with land use random forest models," Applied Energy, Elsevier, vol. 305(C).
    5. Feng, Xuesong & Tao, Zhibin & Shi, Ruolin, 2024. "The Spatiotemporal exploration of intercity transport energy efficiency in the mainland of China on the basis of improved stochastic frontier modelling," Renewable Energy, Elsevier, vol. 224(C).
    6. Jiewei Li & Ling Jin & Han Deng & Lin Yang, 2023. "Review on Decarbonizing the Transportation Sector in China: Overview, Analysis, and Perspectives," Papers 2310.00613, arXiv.org.
    7. Tao Li & Baoli Gong & Yong Peng & Jin Nie & Zheng Wang & Yiqi Chen & Guoquan Xie & Kui Wang & Honghao Zhang, 2023. "Analysis and Comparative Study of Signalized and Unsignalized Intersection Operations and Energy-Emission Characteristics Based on Real Vehicle Data," Energies, MDPI, vol. 16(17), pages 1-24, August.
    8. Biying Yu & Zihao Zhao & Yi-Ming Wei & Lan-Cui Liu & Qingyu Zhao & Shuo Xu & Jia-Ning Kang & Hua Liao, 2023. "Approaching national climate targets in China considering the challenge of regional inequality," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    9. Wang, Xiaoyang & Yu, Biying & An, Runying & Sun, Feihu & Xu, Shuo, 2022. "An integrated analysis of China’s iron and steel industry towards carbon neutrality," Applied Energy, Elsevier, vol. 322(C).
    10. Shuai Zhang & Xiaoman Zhao & Changwei Yuan & Xiu Wang, 2020. "Technological Bias and Its Influencing Factors in Sustainable Development of China’s Transportation," Sustainability, MDPI, vol. 12(14), pages 1-26, July.
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    12. Skrúcaný Tomáš & Kendra Martin & Čechovič Tomáš & Majerník Filip & Pečman Jan, 2021. "Assessing the Energy Intensity and Greenhouse Gas Emissions of the Traffic Services in a Selected Region," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 12(1), pages 25-35, May.
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