2024 Volume 15 Pages 676-689
This study aims to identify a methodology that would more realistically represent the Electric Vehicle (EV) adoption and usage characteristics of the individuals, especially in India. The study also explores the effect of travel-related factors, direct experience, conventional vehicle-related factors, EV-related factors, and battery-swappability etc. on EV adoption. For this, a thorough review of important factors affecting the adoption of EV and the various methods adopted to analyze the data in the previous studies from past 10 years was done. A latent class based dynamic discrete choice modelling was proposed and the model will take into account both the dynamics of product attributes and the heterogeneity in population. The model will yield reliable outcomes that would help the decision-makers to formulate efficient strategies for successful EV market. The proposed methodology can be used to model the adoption of any other AFVs after making specific changes to the technology being focused.