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E3S Web of Conferences
Article . 2023 . Peer-reviewed
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E3S Web of Conferences
Article . 2023
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Forecast of the development of demand for charging points for electric vehicles in Russian cities

Authors: Gorevaya Evgenia; Spiridonova Ekaterina;

Forecast of the development of demand for charging points for electric vehicles in Russian cities

Abstract

Road transport is one of the main consumers of fossil fuels in the world. At the same time, ICE vehicle emissions form about a quarter of all greenhouse gases in the world. In this regard, the transition to electric vehicles is extremely important. Their operation is more economical and environmentally friendly. The massive shift away from liquid-fuel vehicles will have a significant positive effect on a global scale. At the moment, more than 20 countries of the world have planned the transition to electric vehicles by 2030-2040. They are beginning to be introduced into various areas: personal and public transport, special-purpose vehicles, cargo transportation, etc. At the same time, there are barriers that need to be overcome for the widespread mass transition to electric cars. In particular, the choice of models is limited and their price is high. The technologies for the production and disposal of individual components, such as batteries, remain insufficiently developed. Electric networks are not always ready for additional load. The network of electric filling stations is not sufficiently developed. Russia also supports this global trend and faces restrictions. Various scenarios for the development of electric vehicles have been predicted. Measures of state support for both consumers and manufacturers of electric vehicles are indicated, which are aimed at achieving the indicators of a balanced or accelerated scenario for this market.

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Keywords

Environmental sciences, electric charging stations, batteries, greenhouse gas emissions, electric vehicle, trend extrapolation, GE1-350, fossil fuel consumer, scenario analysis, road transport

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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