The study uses discrete choice models with workplace, leisure place, and highway as location alternatives to explore potential electric vehicle buyers' public charging preferences.

This study explores environmental hypocrisy, wherein individuals or groups profess pro-environmental beliefs but engage in incongruent behaviors.

The study uses the Grey Influence Analysis (GINA) methodology to identify challenges preventing electric vehicle adoption in India, enabling managers and practitioners to address these issues effectively.

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This paper assesses the influence of four different charging strategies for battery electric vehicles across five representative low-voltage grids based on the grid development plan in Germany for the years 2021, 2037, and 2045

In this paper, the authors develop several predictive models pertaining to Electric Vehicles in the United States.

This study proposes a dual-function control method for grid integration of Fuel Cell Vehicles (FCVs) to reduce harmonic pollution emitted by other electric vehicles and charging stations connected to the grid.

This paper presents a systematic approach to quantify EV battery degradation across various charging strategies to address concerns about potential acceleration of battery aging in V2X technology.

The study quantifies infrastructural demand and simulates travel and charging behaviors of SEV users using spatiotemporal and behavioral data from a SEV trajectory dataset.

The study used dual-factor theory, innovation resistance theory, and the stimulus-organism-response model to analyze data from 391 young Indian sustainability-oriented electric vehicle users to examine the enablers and inhibitors of electric vehicle adoption.