Impact of charging infrastructure construction on electric vehicle diffusion based on a multi-agent model

To explore the impact of charging infrastructure on electric vehicles (EVs) diffusion, a multi-agent model of EVs-charging infrastructure construction (EV-CIC) is established based on complex adaptive system (CAS). The simulation examines four infrastructure factors and two policy interventions. The results show that the installation rate of private charging piles has the greatest impact, increasing market share by 4% for every 10% rise, followed by the number of public charging piles with 1.58% per 100 units, failure rate with 1.3% per 10% reduction, and charging price with 1% per 10 yuan. High subsidy rates show strong effects in the early stages, while sharing policies for private charging piles show better long-term benefits, increasing market share by 13% compared to non-sharing scenarios. In conclusion, private charging piles, whether through increasing installation rates or enhancing sharing policies, could lead to significant breakthroughs in promoting the development of the EV market.

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Publication Details

Journal
iScience
Published
2025-03-20
DOI
https://doi.org/10.1016/j.isci.2025.112257
Citations
4
Primary Topic
Urban and Freight Transport Logistics
Type
article
Field-Weighted Citation Impact
4.03
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Impact of charging infrastructure construction on electric vehicle diffusion based on a multi-agent model

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article

Impact of charging infrastructure construction on electric vehicle diffusion based on a multi-agent model

Xiangyun Gao, Yingying Zheng, Feng An, Jian Wang, Donghui Liu, Nan Jia
article en
4 citations

Abstract

To explore the impact of charging infrastructure on electric vehicles (EVs) diffusion, a multi-agent model of EVs-charging infrastructure construction (EV-CIC) is established based on complex adaptive system (CAS). The simulation examines four infrastructure factors and two policy interventions. The results show that the installation rate of private charging piles has the greatest impact, increasing market share by 4% for every 10% rise, followed by the number of public charging piles with 1.58% per 100 units, failure rate with 1.3% per 10% reduction, and charging price with 1% per 10 yuan. High subsidy rates show strong effects in the early stages, while sharing policies for private charging piles show better long-term benefits, increasing market share by 13% compared to non-sharing scenarios. In conclusion, private charging piles, whether through increasing installation rates or enhancing sharing policies, could lead to significant breakthroughs in promoting the development of the EV market.

iScienceVol. 28(4)
Beijing Technology and Business University (CN), Ministry of Natural Resources (CN), China University of Geosciences (Beijing) (CN), Beijing University of Chemical Technology (CN), Shijiazhuang Tiedao University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 7%
Urban and Freight Transport Logistics
4.03
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