Researchers at the Georgia Institute of Technology conducted a study to analyze the attitudes of electric vehicle drivers during a time with few charging stations.
Researchers at the Georgia Institute of Technology conducted a study to analyze the attitudes of electric vehicle drivers during a time with few charging stations.
The study, which was funded by the National Science Foundation and published in the journal Nature Sustainability, involved a team led by Omar Isaac Asensio, utilizing a machine learning algorithm to analyze consumer data from 12,270 electric vehicle charging stations across the county.
A key takeaway from the study is the wrong perception that electric vehicle owners prefer private stations to public ones. Charging stations in larger cities are also beset with problems that entertain the idea of a nationwide system.
The study serves as a tool to help alleviate any nervousness associated with purchasing electric vehicles by providing an evidence-based, national analysis of actual consumer sentiment, the National Science Foundation Public Affairs office reported.