An Evolutionary Game Analysis of Shared Private Charging Pile Behavior in Low-Carbon Urban Traffic

Lequn Zhu, Ran Zhou, Xiaojun Li () and Linlin Zhang ()
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Lequn Zhu: Policy Research Center, Tianjin Research Institute for Water Transport Engineering, M.O.T., Tianjin 300456, China
Ran Zhou: Policy Research Center, Tianjin Research Institute for Water Transport Engineering, M.O.T., Tianjin 300456, China
Xiaojun Li: Policy Research Center, Tianjin Research Institute for Water Transport Engineering, M.O.T., Tianjin 300456, China
Linlin Zhang: School of Government, Liaoning Normal University, Dalian 116000, China

Sustainability, 2023, vol. 15, issue 13, 1-17

Abstract: Choosing new energy vehicles for travel, especially electric vehicles, is an important component of building a low-carbon urban transportation system. However, the charging need of electric vehicle users is still constrained by the unreasonable layout and insufficient supply of public charging piles in cities. Private charging pile sharing, as an alternative policy tool, can play a beneficial role in solving this problem. However, it needs decision-makers in urban transportation to take corresponding measures to promote. This paper constructs an evolutionary game model to study the decision behavior of participants in a private pile-sharing platform. Through numerical simulation analysis, it is found that under most parameter conditions, the government tends to establish a shared charging pile platform based on public interests. Private charging pile owners are influenced by the relationship between the cost of supply modification and revenue, and they tend to join the shared platform when they expect to recover the modification cost. The research conclusions of this paper will provide support for exploring how participants make decisions to maximize overall benefits in the development of low-carbon urban transportation.

Keywords: shared private charging pile; low-carbon urban transport; evolutionary game; policy making (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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