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Modelling the transport system in China and evaluating the current strategies towards the sustainable transport development

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  • Liu, Wen
  • Lund, Henrik
  • Mathiesen, Brian Vad

Abstract

Transport is one of the most challenge sectors when addressing energy security and climate change due to its high reliance on oil products and lack of the alternative fuels. This paper explores the ability of three transport strategies to contribute to the development of a sustainable transport in China. With this purpose in mind, a Chinese transport model has been created and three current transport strategies which are high speed railway (HSR), urban rail transit (URT) and electric vehicle (EV) were evaluated together with a reference transport system in 2020. As conservative results, 13% of the energy saving and 12% of the CO2 emission reduction can be attained by accomplishing three strategies compared with the reference transport system. However, the energy demand of transport in 2020 with the implementation of three strategies will be about 1.7 times as much as today. The three strategies show the potential of drawing the transport demand to the more energy efficient vehicles; however, more initiatives are needed if the sustainable transport is the long term objective, such as the solutions to stabilise the private vehicle demands, to continuously improve the vehicle efficiency and to boost the alternative fuels produced from the renewable energy sources.

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  • Liu, Wen & Lund, Henrik & Mathiesen, Brian Vad, 2013. "Modelling the transport system in China and evaluating the current strategies towards the sustainable transport development," Energy Policy, Elsevier, vol. 58(C), pages 347-357.
  • Handle: RePEc:eee:enepol:v:58:y:2013:i:c:p:347-357
    DOI: 10.1016/j.enpol.2013.03.032
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    References listed on IDEAS

    as
    1. Cai, Wenjia & Wang, Can & Chen, Jining & Wang, Ke & Zhang, Ying & Lu, Xuedu, 2008. "Comparison of CO2 emission scenarios and mitigation opportunities in China's five sectors in 2020," Energy Policy, Elsevier, vol. 36(3), pages 1181-1194, March.
    2. Wang, H. & Zhou, D.Q. & Zhou, P. & Zha, D.L., 2012. "Direct rebound effect for passenger transport: Empirical evidence from Hong Kong," Applied Energy, Elsevier, vol. 92(C), pages 162-167.
    3. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    4. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
    5. Su, Qing, 2011. "Induced motor vehicle travel from improved fuel efficiency and road expansion," Energy Policy, Elsevier, vol. 39(11), pages 7257-7264.
    6. Wang, Yunshi & Teter, Jacob & Sperling, Daniel, 2011. "China's soaring vehicle population: Even greater than forecasted?," Energy Policy, Elsevier, vol. 39(6), pages 3296-3306, June.
    7. Ji, Xi & Chen, G.Q., 2006. "Exergy analysis of energy utilization in the transportation sector in China," Energy Policy, Elsevier, vol. 34(14), pages 1709-1719, September.
    8. Matos, Fernando J.F. & Silva, Francisco J.F., 2011. "The rebound effect on road freight transport: Empirical evidence from Portugal," Energy Policy, Elsevier, vol. 39(5), pages 2833-2841, May.
    9. Ou, Xunmin & Zhang, Xiliang & Chang, Shiyan, 2010. "Scenario analysis on alternative fuel/vehicle for China's future road transport: Life-cycle energy demand and GHG emissions," Energy Policy, Elsevier, vol. 38(8), pages 3943-3956, August.
    10. Leung, Guy C.K., 2011. "China's energy security: Perception and reality," Energy Policy, Elsevier, vol. 39(3), pages 1330-1337, March.
    11. He, Kebin & Huo, Hong & Zhang, Qiang & He, Dongquan & An, Feng & Wang, Michael & Walsh, Michael P., 2005. "Oil consumption and CO2 emissions in China's road transport: current status, future trends, and policy implications," Energy Policy, Elsevier, vol. 33(12), pages 1499-1507, August.
    12. Wang, H. & Zhou, P. & Zhou, D.Q., 2012. "An empirical study of direct rebound effect for passenger transport in urban China," Energy Economics, Elsevier, vol. 34(2), pages 452-460.
    13. Lund, Henrik & Münster, Ebbe, 2006. "Integrated transportation and energy sector CO2 emission control strategies," Transport Policy, Elsevier, vol. 13(5), pages 426-433, September.
    14. Ou, Xunmin & Zhang, Xiliang & Chang, Shiyan, 2010. "Alternative fuel buses currently in use in China: Life-cycle fossil energy use, GHG emissions and policy recommendations," Energy Policy, Elsevier, vol. 38(1), pages 406-418, January.
    15. Liu, Wen & Lund, Henrik & Mathiesen, Brian Vad, 2011. "Large-scale integration of wind power into the existing Chinese energy system," Energy, Elsevier, vol. 36(8), pages 4753-4760.
    16. Zhao, Jimin & Melaina, Marc W., 2006. "Transition to hydrogen-based transportation in China: Lessons learned from alternative fuel vehicle programs in the United States and China," Energy Policy, Elsevier, vol. 34(11), pages 1299-1309, July.
    17. Mathiesen, B.V. & Lund, H. & Nørgaard, P., 2008. "Integrated transport and renewable energy systems," Utilities Policy, Elsevier, vol. 16(2), pages 107-116, June.
    18. Liu, Wei Min & Luk, Maria K.R., 2009. "Reform and opening up: Way to the sustainable and harmonious development of air transport in China," Transport Policy, Elsevier, vol. 16(5), pages 215-223, September.
    19. Yan, Xiaoyu & Crookes, Roy J., 2009. "Reduction potentials of energy demand and GHG emissions in China's road transport sector," Energy Policy, Elsevier, vol. 37(2), pages 658-668, February.
    20. Hu, Xiaojun & Chang, Shiyan & Li, Jingjie & Qin, Yining, 2010. "Energy for sustainable road transportation in China: Challenges, initiatives and policy implications," Energy, Elsevier, vol. 35(11), pages 4289-4301.
    21. Leung, Guy C.K., 2010. "China's oil use, 1990-2008," Energy Policy, Elsevier, vol. 38(2), pages 932-944, February.
    22. De Borger, Bruno & Mulalic, Ismir, 2012. "The determinants of fuel use in the trucking industry—volume, fleet characteristics and the rebound effect," Transport Policy, Elsevier, vol. 24(C), pages 284-295.
    23. Zhang, Ming & Mu, Hailin & Li, Gang & Ning, Yadong, 2009. "Forecasting the transport energy demand based on PLSR method in China," Energy, Elsevier, vol. 34(9), pages 1396-1400.
    24. Greene, David L., 2012. "Rebound 2007: Analysis of U.S. light-duty vehicle travel statistics," Energy Policy, Elsevier, vol. 41(C), pages 14-28.
    25. Fu, Xiaowen & Zhang, Anming & Lei, Zheng, 2012. "Will China’s airline industry survive the entry of high-speed rail?," Research in Transportation Economics, Elsevier, vol. 35(1), pages 13-25.
    26. Yang, Ming, 2008. "China's energy efficiency target 2010," Energy Policy, Elsevier, vol. 36(2), pages 561-570, February.
    27. Pittman, Russell, 2011. "Risk-averse restructuring of freight railways in China," Utilities Policy, Elsevier, vol. 19(3), pages 152-160.
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