This paper proposes valuable insights into attitudes and preferences for taxi and bus users for the willingness to travel in EVs, by performing a convenience sampling, focusing especially on young users.

This research aims to explore the relationships between EV-related information (e.g., environmentally friendly information and performance and attribute information) and consumers’ perceptions (perceived value and perceived trust) of EVs and adoption intentions.

This briefing gives an overview of the status of ZEV (Zero-Emission Vehicle) development in the emerging economies of Africa.

This article proposes a battery fault diagnosis method that achieves joint soft SC fault detection and estimation.

In this paper review of the future electric vehicle approach, challenges and opportunities are discussed. The reliability assessment of the internal system, a modern electrical network with EVs, and implications of autonomous driving, connected vehicles, and shared mobility would impact EV grid integration, as well as power grid evolution in the direction of future energy internet, have also been summarized.

The study analyzes national programs dealing with environmental labeling of heavy-duty vehicles, and recommends steps China or other markets can take to establish a robust HDV labeling program

The authors introduce an integrated modeling approach to determine a cost-optimal, long-term, multi-period transformation plan for integrating battery electric buses into urban bus networks. This model connects central strategic and operational decisions.

Optimal strategies to accelerate EV adoption must weigh the relative value of alternative policy mechanisms to consumers, including public charging infrastructure and vehicle purchase subsidies. The authors use a historically validated light-duty vehicle consumer choice tool, the ADOPT model, to simulate personal light-duty vehicle adoption and related emissions in California.

This study investigates the characteristics of the private EV household charger population using a regression model and spatial analysis to determine the influences of income, car ownership, and economic status on EV take-up rates.

Innovations in "new mobility" could change the transportation system, including the use of automated, electric, and shared vehicles. However, researchers are still learning about who is currently using these technologies ("realized demand") and who is interested in future usage ("latent demand").