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

Isabella Yunfei Zeng, Jingrui Chen, Ziheng Niu, Qingfei Liu and Tian Wu
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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
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

Sustainability, 2022, vol. 14, issue 3, 1-25

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.

Keywords: online car-hailing services; GHG emissions assessment; emission reduction; regulation stringency; production and use stages; sustainable transportation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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