The adoption of electric vehicle innovation is something whose time has come given the rising climate and environmental concerns. Its adoption, however, faces numerous challenges, especially in Kenya and other developing countries. The study investigated the variables that impact Kenya’s adoption of electric vehicles. The study purposed to establish the influence of cost of electric vehicles, infrastructure development, and knowledge on the adoption of electric vehicles by public service vehicle matatu SACCOs in Nairobi. The technological acceptance model and diffusion of innovation theories underpinned the study. The study made use of the descriptive cross-sectional survey approach to achieve this. The study targeted 272 PSV matatu SACCOs in Nairobi City County. The data was gathered using a structured questionnaire which was administered at the offices of PSV matatu SACCOs within Nairobi. Data analysis involved descriptive statistics in form of means and standard deviation and inferential statistics in form of correlation, simple and multiple linear regression analyses. Spearman's correlation revealed that infrastructure development had a strong and positive correlation with the adoption of electric vehicles by public service vehicle matatu SACCOs in Nairobi (r=0.463, p=0.000<0.05), moderate correlation between knowledge and adoption of electric vehicles by public service vehicle matatu SACCOs in Nairobi (r=0.376, p=0.000<0.05). The cost of electric vehicles had a negative correlation with adoption of electric vehicles by public service vehicle matatu SACCOs in Nairobi (r=-0.459, p=0.000<0.05). Multiple linear regression results showed that knowledge, infrastructure development, cost of electric vehicles explain 53.3 percent adoption of electric vehicles by public service vehicle matatu SACCOs. Regression coefficients showed that infrastructure development has a positive and statistically significant relationship with the adoption of electric vehicles by public service vehicle matatu SACCOs (β=0.157, p=0.000<0.05), knowledge also showed a positive and statistically significant relationship with the adoption of electric vehicles by public service vehicle matatu SACCOs (β=0.233, p=0.000<0.05). The cost of electric vehicles (β=-0.075, p=0.002<0.05) indicated a negative and statistically significant relationship between cost of electric vehicles and the adoption of electric vehicles. The study concludes that cost of electric vehicles, knowledge and infrastructure development are crucial determinants in the adoption of adoption of electric vehicles by public service vehicle matatu SACCOs. The study recommends government intervention to reduce costs, improve infrastructure, and create more awareness through policy development. The study recommends further studies examine other factors apart from the three identified factors; cost, infrastructure development, and knowledge that might influence the adoption of electric vehicles. A study should also be done to examine the influence of policies and rules on the adoption of electric vehicles.