Remanufacturing electric vehicle battery supply chain under government subsidies and carbon trading: Optimal pricing and return policy

Applied Energy, Год журнала: 2024, Номер 375, С. 124063 - 124063

Опубликована: Авг. 9, 2024

Язык: Английский

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The impact of energy prices on electric vehicle adoption: from a perspective of consumer expectations

Sustainable Futures, Год журнала: 2025, Номер unknown, С. 100437 - 100437

Опубликована: Янв. 1, 2025

Язык: Английский

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EV diffusion promotion analysis under different charging market structure

Technological Forecasting and Social Change, Год журнала: 2024, Номер 208, С. 123730 - 123730

Опубликована: Сен. 8, 2024

Язык: Английский

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Policy complementarities in the promotion of electric vehicles

Energy Policy, Год журнала: 2024, Номер 192, С. 114262 - 114262

Опубликована: Июль 24, 2024

Язык: Английский

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Demographic disparity and influences in electric vehicle adoption: A Florida case study

Transportation Research Part D Transport and Environment, Год журнала: 2024, Номер 136, С. 104465 - 104465

Опубликована: Окт. 14, 2024

Язык: Английский

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Unlocking Electric Vehicle Adoption Through Equitable Charging Infrastructure Planning: A Three-Stage DEA Analysis of Indirect Network Effects in 295 Chinese Cities

Опубликована: Янв. 1, 2025

Язык: Английский

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Detection of Effective Devices in Information Dissemination on the Complex Social Internet of Things Networks Based on Device Centrality Measures

Complexity, Год журнала: 2025, Номер 2025(1)

Опубликована: Янв. 1, 2025

The Complex Social Internet of Things (CSIoT) integrates the connectivity IoT with relational dynamics complex social networks, creating systems where devices autonomously form and manage relationships. centrality measures specify topological characteristics each node in terms local global information network. detection effective disseminating across CSIoT networks is critical for optimizing communication, improving network performance, ensuring efficient resource utilization. In this paper, temporal are used to identify influential dissemination. For purpose, first, SIoT have been redefined, then, using SIR model, has evaluated success rate identifying results shown that a high clustering coefficient, closeness betweenness better performance spreading information. Also, degree heterogeneity, device coreness Katz perform than other measures. Finally, show mobile play more important role static devices.

Язык: Английский

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The impact of deep reinforcement learning-based traffic signal control on Emission reduction in urban Road networks empowered by cooperative vehicle-infrastructure systems

Applied Energy, Год журнала: 2025, Номер 390, С. 125884 - 125884

Опубликована: Апрель 10, 2025

Язык: Английский

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Consider payoff or emphasize learning? Exploring the effect of new dual-credit policy on electric vehicle diffusion in complex network

Energy Economics, Год журнала: 2025, Номер unknown, С. 108622 - 108622

Опубликована: Июнь 1, 2025

Язык: Английский

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Innovative solution suggestions for financing electric vehicle charging infrastructure investments with a novel artificial intelligence-based fuzzy decision-making modelling

Artificial Intelligence Review, Год журнала: 2024, Номер 58(1)

Опубликована: Ноя. 14, 2024

The right methods for effective financing of electric vehicle charging infrastructure investments should be identified. However, in the literature, there is no consensus on which funding source would these projects. There a need new study to recommend most appropriate strategy Accordingly, purpose this identify innovative solutions investments. A novel fuzzy decision-making model introduced reach objective. Firstly, weights experts are calculated using dimension reduction. Secondly, Spherical decision matrix obtained. Thirdly, criteria vehicles weighted importance through intercriteria correlation (CRITIC). Fourthly, ranked via ranking technique by geometric mean similarity ratio optimal solution (RATGOS). main contribution that strategies can identified establishing model. Most existing models literature could not consider experts. This condition criticized different scholar because have qualifications. To satisfy problem, study, reduction algorithm with machine learning taken into consideration compute thee findings demonstrate criterion financial determined as "potential income". According results, it also defined sustainable among "blockchain technology".

Язык: Английский

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