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Development and application of an energy use and CO2 emissions reduction evaluation model for China's online car hailing services


  • Wu, Tian
  • Shen, Qu
  • Xu, Ming
  • Peng, Tianduo
  • Ou, Xunmin


Emerging online car hailing services have caused many unintended consequences in urban centers such as more congested traffic and increased vehicle travels. Those unintended consequences have significant impacts on urban sustainability due to the increased fuel use and carbon dioxide (CO2) emissions. An evaluation model of online car hailing services was established to evaluate impact on energy use and CO2 in China. We found online car hailing services have taken over not only private vehicle travels but also travels fulfilled by other modes such as mass public transit, walking, and bicycling. Empirical case analysis combined with real data shows the operating mechanism, quantitative research method and different future scenario analysis results of the model we developed. Our findings suggest that policies should be developed to prevent online car hailing from attracting too many public transit riders and to improve the efficiency of private vehicle travels. As online car hailing is emerging in many cities around the world, lessons learned from China will be useful to inform the development of policies to avoid unintended consequences.

Suggested Citation

  • Wu, Tian & Shen, Qu & Xu, Ming & Peng, Tianduo & Ou, Xunmin, 2018. "Development and application of an energy use and CO2 emissions reduction evaluation model for China's online car hailing services," Energy, Elsevier, vol. 154(C), pages 298-307.
  • Handle: RePEc:eee:energy:v:154:y:2018:i:c:p:298-307
    DOI: 10.1016/

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    References listed on IDEAS

    1. Hao, Han & Geng, Yong & Sarkis, Joseph, 2016. "Carbon footprint of global passenger cars: Scenarios through 2050," Energy, Elsevier, vol. 101(C), pages 121-131.
    2. Yu, Biying & Ma, Ye & Xue, Meimei & Tang, Baojun & Wang, Bin & Yan, Jinyue & Wei, Yi-Ming, 2017. "Environmental benefits from ridesharing: A case of Beijing," Applied Energy, Elsevier, vol. 191(C), pages 141-152.
    3. repec:eee:appene:v:222:y:2018:i:c:p:313-328 is not listed on IDEAS
    4. Harding, Simon & Kandlikar, Milind & Gulati, Sumeet, 2016. "Taxi apps, regulation, and the market for taxi journeys," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 15-25.
    5. Hao, Han & Liu, Zongwei & Zhao, Fuquan & Li, Weiqi & Hang, Wen, 2015. "Scenario analysis of energy consumption and greenhouse gas emissions from China's passenger vehicles," Energy, Elsevier, vol. 91(C), pages 151-159.
    6. Li, Xin & Ou, Xunmin & Zhang, Xu & Zhang, Qian & Zhang, Xiliang, 2013. "Life-cycle fossil energy consumption and greenhouse gas emission intensity of dominant secondary energy pathways of China in 2010," Energy, Elsevier, vol. 50(C), pages 15-23.
    7. Xu, Bin & Lin, Boqiang, 2016. "Differences in regional emissions in China's transport sector: Determinants and reduction strategies," Energy, Elsevier, vol. 95(C), pages 459-470.
    8. Xu, Bin & Lin, Boqiang, 2015. "Carbon dioxide emissions reduction in China's transport sector: A dynamic VAR (vector autoregression) approach," Energy, Elsevier, vol. 83(C), pages 486-495.
    9. 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.
    10. Juho Hamari & Mimmi Sjöklint & Antti Ukkonen, 2016. "The sharing economy: Why people participate in collaborative consumption," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(9), pages 2047-2059, September.
    11. Meng, Fanxin & Liu, Gengyuan & Yang, Zhifeng & Casazza, Marco & Cui, Shenghui & Ulgiati, Sergio, 2017. "Energy efficiency of urban transportation system in Xiamen, China. An integrated approach," Applied Energy, Elsevier, vol. 186(P2), pages 234-248.
    12. repec:eee:enepol:v:109:y:2017:i:c:p:719-733 is not listed on IDEAS
    13. Tian Wu & Hongmei Zhao & Xunmin Ou, 2014. "Vehicle Ownership Analysis Based on GDP per Capita in China: 1963–2050," Sustainability, MDPI, Open Access Journal, vol. 6(8), pages 1-23, August.
    14. Tian Wu & Mengbo Zhang & Xunmin Ou, 2014. "Analysis of Future Vehicle Energy Demand in China Based on a Gompertz Function Method and Computable General Equilibrium Model," Energies, MDPI, Open Access Journal, vol. 7(11), pages 1-29, November.
    15. Wang, Xiaolei & He, Fang & Yang, Hai & Oliver Gao, H., 2016. "Pricing strategies for a taxi-hailing platform," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 212-231.
    16. Du, J.D. & Han, W.J. & Peng, Y.H. & Gu, C.C., 2010. "Potential for reducing GHG emissions and energy consumption from implementing the aluminum intensive vehicle fleet in China," Energy, Elsevier, vol. 35(12), pages 4671-4678.
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    1. repec:eee:energy:v:172:y:2019:i:c:p:1179-1186 is not listed on IDEAS
    2. repec:eee:transa:v:118:y:2018:i:c:p:776-782 is not listed on IDEAS
    3. repec:eee:energy:v:174:y:2019:i:c:p:24-32 is not listed on IDEAS


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