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Evaluating the low-carbon operation of high-speed rail and unveiling obstacles: A case study of Beijing-Shanghai HSR

Author

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  • Xue, Feng
  • Liang, Jielin
  • Zeng, Yu
  • Ma, Xiaochen

Abstract

Low-carbon operation (LCO) of high-speed rail (HSR) refers to a sustainable operational mode balancing HSR operations with socioeconomic development and environmental protection. It's a complex process influenced by multiple factors and their relationships, and the comprehensiveness of the evaluation method should be considered. This study developed an evaluation model based on the driving force–pressure–state–impact–response (DPSIR) framework to analyse the LCO of HSR and identify main obstacles using the obstacle diagnosis model. A case study of the Beijing–Shanghai (B-S) HSR validated the model. The findings indicated the following: (1) From 2012 to 2019, the LCO level of the B-S HSR increased by 10.6 % on average, developing from intermediate to good levels. (2) The main obstacle factors included proportion of HSR passenger traffic, the research and development (R&D) investment intensity, daily production carbon emissions, and traction carbon emissions (both total emissions and emissions per unit of turnover).

Suggested Citation

  • Xue, Feng & Liang, Jielin & Zeng, Yu & Ma, Xiaochen, 2025. "Evaluating the low-carbon operation of high-speed rail and unveiling obstacles: A case study of Beijing-Shanghai HSR," Transport Policy, Elsevier, vol. 171(C), pages 916-932.
    • Handle: RePEc:eee:trapol:v:171:y:2025:i:c:p:916-932
    DOI: 10.1016/j.tranpol.2025.07.007
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    as
    1. Yin, Chuanzhong & Zhang, Zi-Ang & Fu, Xiaowen & Ge, Ying-En, 2024. "A low-carbon transportation network: Collaborative effects of a rail freight subsidy and carbon trading mechanism," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).
    2. Jiang, Jingjing & Ye, Bin & Xie, Dejun & Li, Ji & Miao, Lixin & Yang, Peng, 2017. "Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 855-867.
    3. Zhao, Min & Sun, Tao, 2022. "Dynamic spatial spillover effect of new energy vehicle industry policies on carbon emission of transportation sector in China," Energy Policy, Elsevier, vol. 165(C).
    4. Wenqi Wang & Yuhong Sun & Jing Wu, 2018. "Environmental Warning System Based on the DPSIR Model: A Practical and Concise Method for Environmental Assessment," Sustainability, MDPI, vol. 10(6), pages 1-20, May.
    5. Mohring, Herbert, 1972. "Optimization and Scale Economies in Urban Bus Transportation," American Economic Review, American Economic Association, vol. 62(4), pages 591-604, September.
    6. Bueno, Gorka & Hoyos, David & Capellán-Pérez, Iñigo, 2017. "Evaluating the environmental performance of the high speed rail project in the Basque Country, Spain," Research in Transportation Economics, Elsevier, vol. 62(C), pages 44-56.
    7. Todd Litman & David Burwell, 2006. "Issues in sustainable transportation," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 6(4), pages 331-347.
    8. Zhan, Shuguang & Wong, S.C. & Lo, S.M., 2020. "Social equity-based timetabling and ticket pricing for high-speed railways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 165-186.
    9. Michael L. Anderson, 2014. "Subways, Strikes, and Slowdowns: The Impacts of Public Transit on Traffic Congestion," American Economic Review, American Economic Association, vol. 104(9), pages 2763-2796, September.
    10. Li, Pei & Lu, Yi & Wang, Jin, 2020. "The effects of fuel standards on air pollution: Evidence from China," Journal of Development Economics, Elsevier, vol. 146(C).
    11. Rui Jiang & Peng Wu & Chengke Wu, 2022. "Driving Factors behind Energy-Related Carbon Emissions in the U.S. Road Transport Sector: A Decomposition Analysis," IJERPH, MDPI, vol. 19(4), pages 1-17, February.
    12. Chang, Yuan & Lei, Shuhua & Teng, Jianjian & Zhang, Jiangxue & Zhang, Lixiao & Xu, Xiao, 2019. "The energy use and environmental emissions of high-speed rail transportation in China: A bottom-up modeling," Energy, Elsevier, vol. 182(C), pages 1193-1201.
    13. Yi Yang & Jiaying Gu & Siyu Huang & Meilin Wen & Yong Qin, 2022. "Application of Uncertain AHP Method in Analyzing Travel Time Belief Reliability in Transportation Network," Mathematics, MDPI, vol. 10(19), pages 1-20, October.
    14. Wang, Yanxia & Gan, Shaojun & Li, Kang & Chen, Yanyan, 2022. "Planning for low-carbon energy-transportation system at metropolitan scale: A case study of Beijing, China," Energy, Elsevier, vol. 246(C).
    15. Du, Huibin & Chen, Zhenni & Peng, Binbin & Southworth, Frank & Ma, Shoufeng & Wang, Yuan, 2019. "What drives CO2 emissions from the transport sector? A linkage analysis," Energy, Elsevier, vol. 175(C), pages 195-204.
    16. Awasthi, Anjali & Omrani, Hichem & Gerber, Philippe, 2018. "Investigating ideal-solution based multicriteria decision making techniques for sustainability evaluation of urban mobility projects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 247-259.
    17. Jinhua Xu & Xueying Wang & Yuanyuan Wang, 2024. "Insight into Policy Structure and Key Characteristics of China’s Low-Carbon Policy System: Based on Text Mining Method," Sustainability, MDPI, vol. 16(14), pages 1-21, July.
    18. Scriban, Ramona Elena & Nichiforel, Liviu & Bouriaud, Laura Gianina & Barnoaiea, Ionut & Cosofret, Vasile Cosmin & Barbu, Catalina Oana, 2019. "Governance of the forest restitution process in Romania: An application of the DPSIR model," Forest Policy and Economics, Elsevier, vol. 99(C), pages 59-67.
    19. Xie, Rui & Fang, Jiayu & Liu, Cenjie, 2017. "The effects of transportation infrastructure on urban carbon emissions," Applied Energy, Elsevier, vol. 196(C), pages 199-207.
    20. Zhang, Huimin & Li, Shukai & Wang, Yihui & Yang, Lixing & Gao, Ziyou, 2021. "Collaborative real-time optimization strategy for train rescheduling and track emergency maintenance of high-speed railway: A Lagrangian relaxation-based decomposition algorithm," Omega, Elsevier, vol. 102(C).
    21. Zhan, Shuguang & Wang, Pengling & Wong, S.C. & Lo, S.M., 2022. "Energy-efficient high-speed train rescheduling during a major disruption," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    22. Sakdirat Kaewunruen & Jessada Sresakoolchai & Junying Peng, 2019. "Life Cycle Cost, Energy and Carbon Assessments of Beijing-Shanghai High-Speed Railway," Sustainability, MDPI, vol. 12(1), pages 1-18, December.
    23. Chengguang Lai & Xiaohong Chen & Xiaoyu Chen & Zhaoli Wang & Xushu Wu & Shiwei Zhao, 2015. "A fuzzy comprehensive evaluation model for flood risk based on the combination weight of game theory," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 1243-1259, June.
    24. Saaty, Thomas L. & Vargas, Luis G., 1987. "Uncertainty and rank order in the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 32(1), pages 107-117, October.
    25. Jonas Ammenberg & Sofia Dahlgren, 2021. "Sustainability Assessment of Public Transport, Part I—A Multi-Criteria Assessment Method to Compare Different Bus Technologies," Sustainability, MDPI, vol. 13(2), pages 1-25, January.
    26. Yao, Lianxiao & Chen, Weidong, 2025. "Temporal and spatial evolution of low-carbon transportation efficiency and its influencing factors in China," Energy, Elsevier, vol. 315(C).
    27. Sofia Dahlgren & Jonas Ammenberg, 2021. "Sustainability Assessment of Public Transport, Part II—Applying a Multi-Criteria Assessment Method to Compare Different Bus Technologies," Sustainability, MDPI, vol. 13(3), pages 1-30, January.
    28. Chen, Yu & Wang, Yuandi & Zhao, Changyi, 2023. "How do high-speed rails influence city carbon emissions?," Energy, Elsevier, vol. 265(C).
    29. Cheng, An & Jiang, Guogang & Teng, Xiangyu & Xu, Wenting & Li, Yimin & Wu, Longhui & Chiu, Yung-ho, 2024. "Changes in low-carbon transportation efficiency of Chinese roads after considering the impact of new energy vehicles," Transport Policy, Elsevier, vol. 159(C), pages 28-43.
    30. Peng Zhao & Yawei Li & Baoming Han & Ruixia Yang & Zhiping Liu, 2022. "Integrated Optimization of Rolling Stock Scheduling and Flexible Train Formation Based on Passenger Demand for an Intercity High-Speed Railway," Sustainability, MDPI, vol. 14(9), pages 1-22, May.
    31. Linda E. Karjalainen & Sirkku Juhola, 2019. "Framework for Assessing Public Transportation Sustainability in Planning and Policy-Making," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    32. Du, Limin & Wei, Chu & Cai, Shenghua, 2012. "Economic development and carbon dioxide emissions in China: Provincial panel data analysis," China Economic Review, Elsevier, vol. 23(2), pages 371-384.
    33. Shao, Shuai & Tian, Zhihua & Yang, Lili, 2017. "High speed rail and urban service industry agglomeration: Evidence from China's Yangtze River Delta region," Journal of Transport Geography, Elsevier, vol. 64(C), pages 174-183.
    34. Lingjie Sun & Yingyi Liu & Boyang Zhang & Yuwei Shang & Haiwen Yuan & Zhao Ma, 2016. "An Integrated Decision-Making Model for Transformer Condition Assessment Using Game Theory and Modified Evidence Combination Extended by D Numbers," Energies, MDPI, vol. 9(9), pages 1-22, August.
    35. Du, Zhili & Lin, Boqiang, 2019. "Changes in automobile energy consumption during urbanization: Evidence from 279 cities in China," Energy Policy, Elsevier, vol. 132(C), pages 309-317.
    36. Bugalia, Nikhil & Maemura, Yu & Ozawa, Kazumasa, 2021. "Demand risk management of private High-Speed Rail operators: A review of experiences in Japan and Taiwan," Transport Policy, Elsevier, vol. 113(C), pages 67-76.
    37. Huang, Fei & Zhou, Dequn & Wang, Qunwei & Hang, Ye, 2019. "Decomposition and attribution analysis of the transport sector’s carbon dioxide intensity change in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 343-358.
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