While fossil fuels currently dominate the energy landscape, the anticipated widespread transition to electric vehicles (EVs) in the near future introduces challenges related to infrastructure development and changing mobility patterns. This study explores the obstacles and possibilities associated with the increasing use of EVs and the essential charging station infrastructure. In contrast to studies relying on aggregated data, this work emphasizes the significance of analyzing individual user behaviors, trip characteristics, and socio-economic contexts based on microeconomic foundations. In this work, we provide a literature review and reveal four key dimensions within the EV landscape: (i) competition between users and energy providers, (ii) user travel behavior by integrating discrete choice modeling, (iii) trip chain modeling to understand trip purposes and their relationship to charging station infrastructure, and (iv) optimization of charging station location and allocation to meet user needs. After positioning the existing works in the proposed framework, we finally identify research gaps based on the framework, suggest potential research directions, and provide a comprehensive view of the evolving EV landscape.