Research on Carbon-Trading Model of Urban Public Transport Based on Blockchain Technology

Xiangyang Yu and Xiaojing Wang ()
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Xiangyang Yu: School of Electrical Engineering, Xinjiang University, Urumqi 830017, China
Xiaojing Wang: School of Electrical Engineering, Xinjiang University, Urumqi 830017, China

Energies, 2023, vol. 16, issue 6, 1-21

Abstract: With the realization of the “dual carbon” goal, urban public transport with an increasing proportion of new energy vehicles will become the key subject to achieve the carbon emission reduction goal. Under the new background of deep coupling between transport networks and power grids, it is of great significance to study the carbon-trading mode of urban public transport participation in promoting the development of new energy vehicles and improving the operating efficiency and low-carbon level of the “energy-transport” system. In this paper, based on blockchain technology, a framework for urban public transportation networks to participate in carbon trading is established to solve the current problems of urban public transportation’s insufficient motivation to reduce emissions, lax operation strategy and lack of carbon-trading matching mechanisms. Finally, Hyperledger Fabric was selected as the simulation platform, and we simulated the model through the calculation example. The results show that the proposed scheme can effectively improve the operating efficiency of urban public transport and reduce its operating costs and carbon emissions. In addition, policy recommendations on carbon price, carbon quota and penalties are proposed to improve the institutional system of the carbon-trading market.

Keywords: blockchain technology; traffic network; carbon trading; power grid; operation optimization; transaction-matching mechanism (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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