Electric Vehicle Selection with Easy Applicable MCDM Methods

In the context of escalating urbanization, automobile ownership has emerged as a notable trend, amplifying concerns regarding the environmental impact of these vehicles exhaust emission. Electric vehicles (EV) are recognized as effective and popular way to reduce the negative impact on air quality, especially in urban areas, as well as mitigate greenhouse gas emissions from transportation. The electrification of the road transport sector aligns with global government policies aimed at reducing environmental pollution. In response to escalating demand for electric vehicles, automotive manufacturers have introduced a diverse array of models, including hybrid electric vehicles, battery electric vehicles, and plug-in hybrid electric vehicles. In addition, all these vehicles are diverse in characteristics. Choosing a single vehicle model from the many options available can be tough for buyers. In addition, different buyers have different demands and a large number of criteria may come into consideration. So, as the selection process becomes multi-criteria decision making problem, the main goal of this paper is to provide a comprehensive framework based on easy applicable multi-criteria decision making techniques (MCDM) namely max-min method, max-max method, and simple additive weighting method (SAW), and to present them as solid and reliable enough for application by the ordinary buyer for evaluating and ranking various electric vehicle models in order to distinguish and select the most suitable car among all the alternatives.