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The GHG Emissions Assessment of Online Car-Hailing Development under the Intervention of Evaluation Policies in China

Author

Listed:
  • Isabella Yunfei Zeng

    (UK-China (Guangdong) CCUS Centre, Guangzhou 510663, China)

  • Jingrui Chen

    (Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China)

  • Ziheng Niu

    (International College Beijing, China Agricultural University, Beijing 100083, China
    College of Lib Arts & Sci UGRD, University of Colorado Denver, Denver, CO 80204, USA)

  • Qingfei Liu

    (Undergraduate School, National University of Defense Technology, Changsha 410073, China)

  • Tian Wu

    (Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China)

Abstract

To assess the impact of the online car-hailing services on the environment in China, in this paper, we develop a model to evaluate greenhouse gas (GHG) emissions and emission reduction during the production and use of car-hailing, as a result of increased online bookings. Since energy use differs according to type of vehicle, this paper also contains different scenarios that depict degrees in the regulation stringency according to the Chinese Preliminary Rules on the Management of Online Car-Hailing, regional differences, and development of electric vehicles. The results show that, under the three different scenarios, the online car-hailing service would have the highest GHG emissions of 325, 413, or 160 MtCO 2 and the highest reduction in emissions of 19.46, 25.1, or 9.48 MtCO 2 by 2030. The government needs to encourage the development of online car-hailing to reduce the purchase of private cars, avoid compulsory actions to shut down online car-hailing platforms, and mandate that only electric vehicles (EVs) can be used for online car-hailing.

Suggested Citation

  • Isabella Yunfei Zeng & Jingrui Chen & Ziheng Niu & Qingfei Liu & Tian Wu, 2022. "The GHG Emissions Assessment of Online Car-Hailing Development under the Intervention of Evaluation Policies in China," Sustainability, MDPI, vol. 14(3), pages 1-25, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1908-:d:744086
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    References listed on IDEAS

    as
    1. Lin, Chengtao & Wu, Tian & Ou, Xunmin & Zhang, Qian & Zhang, Xu & Zhang, Xiliang, 2013. "Life-cycle private costs of hybrid electric vehicles in the current Chinese market," Energy Policy, Elsevier, vol. 55(C), pages 501-510.
    2. Shen, Wei & Han, Weijian & Chock, David & Chai, Qinhu & Zhang, Aling, 2012. "Well-to-wheels life-cycle analysis of alternative fuels and vehicle technologies in China," Energy Policy, Elsevier, vol. 49(C), pages 296-307.
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    4. Ma-Lin Song & Yuan-Xiang Zhou, 2015. "Analysis of Carbon Emissions and Their Influence Factors Based on Data from Anhui of China," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 359-374, October.
    5. Orsi, Francesco & Muratori, Matteo & Rocco, Matteo & Colombo, Emanuela & Rizzoni, Giorgio, 2016. "A multi-dimensional well-to-wheels analysis of passenger vehicles in different regions: Primary energy consumption, CO2 emissions, and economic cost," Applied Energy, Elsevier, vol. 169(C), pages 197-209.
    6. Wu, Tian & Wang, Shouyang & Wang, Lining & Tang, Xiao, 2022. "Contribution of China's online car-hailing services to its 2050 carbon target: Energy consumption assessment based on the GCAM-SE model," Energy Policy, Elsevier, vol. 160(C).
    7. Rita Garcia & Fausto Freire & Roland Clift, 2018. "Effects on Greenhouse Gas Emissions of Introducing Electric Vehicles into an Electricity System with Large Storage Capacity," Journal of Industrial Ecology, Yale University, vol. 22(2), pages 288-299, April.
    8. Timothy J. Wallington & James E. Anderson & Robert D. Kleine & Hyung Chul Kim & Heiko Maas & Adam R. Brandt & Gregory A. Keoleian, 2017. "When Comparing Alternative Fuel-Vehicle Systems, Life Cycle Assessment Studies Should Consider Trends in Oil Production," Journal of Industrial Ecology, Yale University, vol. 21(2), pages 244-248, April.
    9. Huo, Hong & Wang, Michael, 2012. "Modeling future vehicle sales and stock in China," Energy Policy, Elsevier, vol. 43(C), pages 17-29.
    10. Li, Fangyi & Cai, Bofeng & Ye, Zhaoyang & Wang, Zheng & Zhang, Wei & Zhou, Pan & Chen, Jian, 2019. "Changing patterns and determinants of transportation carbon emissions in Chinese cities," Energy, Elsevier, vol. 174(C), pages 562-575.
    11. Troy R. Hawkins & Bhawna Singh & Guillaume Majeau‐Bettez & Anders Hammer Strømman, 2013. "Comparative Environmental Life Cycle Assessment of Conventional and Electric Vehicles," Journal of Industrial Ecology, Yale University, vol. 17(1), pages 53-64, February.
    12. Guowei Zhu & Hongshan Li & Li Zhou, 2018. "Enhancing the development of sharing economy to mitigate the carbon emission: a case study of online ride-hailing development in China," 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. 91(2), pages 611-633, March.
    13. Goodspeed, Robert & Xie, Tian & Dillahunt, Tawanna R. & Lustig, Josh, 2019. "An alternative to slow transit, drunk driving, and walking in bad weather: An exploratory study of ridesourcing mode choice and demand," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    14. Zhang, Qiang & Tong, Qiong, 2021. "The economic impacts of traffic consumption during the COVID-19 pandemic in China: A CGE analysis," Transport Policy, Elsevier, vol. 114(C), pages 330-337.
    15. Akbar, Payam & Hoffmann, Stefan, 2020. "Creating value in product service systems through sharing," Journal of Business Research, Elsevier, vol. 121(C), pages 495-505.
    16. Koide, R. & Murakami, S. & Nansai, K., 2022. "Prioritising low-risk and high-potential circular economy strategies for decarbonisation: A meta-analysis on consumer-oriented product-service systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    17. van der Kamp, Denise & Lorentzen, Peter & Mattingly, Daniel, 2017. "Racing to the Bottom or to the Top? Decentralization, Revenue Pressures, and Governance Reform in China," World Development, Elsevier, vol. 95(C), pages 164-176.
    18. Apergis, Nicholas & Vouzavalis, Grigorios, 2018. "Asymmetric pass through of oil prices to gasoline prices: Evidence from a new country sample," Energy Policy, Elsevier, vol. 114(C), pages 519-528.
    19. 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.
    20. Cheng, Xusen & Fu, Shixuan & de Vreede, Gert-Jan, 2018. "A mixed method investigation of sharing economy driven car-hailing services: Online and offline perspectives," International Journal of Information Management, Elsevier, vol. 41(C), pages 57-64.
    21. Tian Wu & Hongmei Zhao & Xunmin Ou, 2014. "Vehicle Ownership Analysis Based on GDP per Capita in China: 1963–2050," Sustainability, MDPI, vol. 6(8), pages 1-23, August.
    22. de Souza Silva, Laize Andréa & de Andrade, Maurício Oliveira & Alves Maia, Maria Leonor, 2018. "How does the ride-hailing systems demand affect individual transport regulation?," Research in Transportation Economics, Elsevier, vol. 69(C), pages 600-606.
    23. Newman, Jeffrey P. & Lurkin, Virginie & Garrow, Laurie A., 2018. "Computational methods for estimating multinomial, nested, and cross-nested logit models that account for semi-aggregate data," Journal of choice modelling, Elsevier, vol. 26(C), pages 28-40.
    24. Zhang, Kun & Zhang, Zong-Yong & Liang, Qiao-Mei, 2017. "An empirical analysis of the green paradox in China: From the perspective of fiscal decentralization," Energy Policy, Elsevier, vol. 103(C), pages 203-211.
    25. Du, Zhili & Lin, Boqiang, 2017. "How oil price changes affect car use and purchase decisions? Survey evidence from Chinese cities," Energy Policy, Elsevier, vol. 111(C), pages 68-74.
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