In recent years enormous efforts have been made to reduce the polluting emissions created by road transport. Many developed countries through their leading counties and pioneering cities have started taking apt leaps towards sustainability aiming to have smart ecosystems. On a different note, researchers have looked at the usefulness of virtual spatial suites for exploring different social sciences phenomena as being a great catalyst for analyzing, forecasting and planning. Vehicular movement modeling is one of the most popular spatial models that deal with relevant aspects of urban regions and communities. This paper presents the bibliography of possible approaches to simulating travel demand models of electric vehicles-(EVs). It gives a broad overview of the altered standpoints of most likely used practices which were formerly utilized to predict vehicle network movements. It sheds light on the pros and cons of each approach with respect to simulating EVs-systems. Finally the paper discusses the authors' recommended approach, which fits more to the study context. The evaluation is based on a closer review of the literature and the conceptual model that has been developed using spatial configurational method. Observations shall clarify the rationale behind choosing such approach and the potential possibility of linking it with hybrid simulation techniques.