Energy consumption and emission influences from shared mobility in China: A national level annual data analysis
Wenjing Yi and
Jie Yan
Applied Energy, 2020, vol. 277, issue C, No S0306261920310618
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.
Keywords: Shared mobility; Energy saving; Emission reduction; Smart traffic lights; Transportation structure (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261920310618
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:277:y:2020:i:c:s0306261920310618
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2020.115549
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().