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Energy consumption and emission influences from shared mobility in China: A national level annual data analysis

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  • Yi, Wenjing
  • Yan, Jie

Abstract

The shared mobility, as an emerging shared economy business mode, has been changing the travelling style of Chinese citizens. This study draws the annual data in year 2018 from DiDi Chuxing, as well as other survey and statistical data, to evaluate the shared mobility influence on energy consumption, emission and transportation structure, in the comprehensive national level. The results indicate that the substitution effects of shared mobility are conducive to energy saving and emission reduction, by the number of 371 thousand toe for energy savings, as well as 518 thousand tons CO2 emission reductions, respectively in year 2018. The shared mobility platform could prioritize the transportation structure, and promote the penetration of electric vehicles with better cost returns. The big data from the platform now is used for smart traffic light control, ending up with 47 toe energy savings in 8 applied cities, and other emission reduction benefits.

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  • Yi, Wenjing & Yan, Jie, 2020. "Energy consumption and emission influences from shared mobility in China: A national level annual data analysis," Applied Energy, Elsevier, vol. 277(C).
    • Handle: RePEc:eee:appene:v:277:y:2020:i:c:s0306261920310618
    DOI: 10.1016/j.apenergy.2020.115549
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    Cited by:

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    2. Liu, Jianmiao & Li, Junyi & Chen, Yong & Lian, Song & Zeng, Jiaqi & Geng, Maosi & Zheng, Sijing & Dong, Yinan & He, Yan & Huang, Pei & Zhao, Zhijian & Yan, Xiaoyu & Hu, Qinru & Wang, Lei & Yang, Di & , 2023. "Multi-scale urban passenger transportation CO2 emission calculation platform for smart mobility management," Applied Energy, Elsevier, vol. 331(C).
    3. Lei Wang & Wenxiang Li & Jinxian Weng & Dong Zhang & Wanjing Ma, 2023. "Do low-carbon rewards incentivize people to ridesplitting? Evidence from structural analysis," Transportation, Springer, vol. 50(5), pages 2077-2109, October.
    4. Wang, Shunchao & Song, Zhanguo, 2024. "Exploring the behavioral stage transition of traveler's adoption of carsharing: An integrated choice and latent variable model," Journal of choice modelling, Elsevier, vol. 51(C).
    5. Wang, Zhaowen & Yuan, Bo & Cao, Junhui & Huang, Yuhan & Cheng, Xiaobei & Wang, Yuzhou & Zhang, Xinhua & Liu, Hao, 2022. "A new shift mechanism for micro-explosion of water-diesel emulsion droplets at different ambient temperatures," Applied Energy, Elsevier, vol. 323(C).
    6. Lin, Boqiang & Wang, Xia, 2021. "Does low-carbon travel intention really lead to actual low-carbon travel? Evidence from urban residents in China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 743-756.
    7. Jiawei Hu & Eva Ayaragarnchanakul & Zheng Yang & Felix Creutzig, 2024. "Shared pooled mobility essential complement to decarbonize China’s transport sector until 2060," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 29(5), pages 1-19, June.
    8. Burghard, Uta & Scherrer, Aline, 2022. "Sharing vehicles or sharing rides - Psychological factors influencing the acceptance of carsharing and ridepooling in Germany," Energy Policy, Elsevier, vol. 164(C).

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