Digital technologies are spreading across countries, enhancing every sector of society. Digital payment technology acceptance is well-researched, but the research from the perspective of public transportation drivers is minimal. This study tries to fill this gap by understanding the factors responsible for the choice of payment among public transport drivers. Data from a questionnaire survey designed to elicit information on the factors that influence the choice of payment modes of 261 Public transport drivers in Kota City, India, is used to understand the factors responsible for the choice of payment. Binary Logit, Decision Tree, and Random Forest models were used to analyse the data. The accuracies of the models are compared. Results indicate that income, working hours, and age are the most significant factors that influence the payment mode choice of public transport drivers. Drivers with higher working hours and older age are less likely to choose digital payment modes than cash. Also, bus and taxi drivers are more likely to accept digital payments than auto drivers. Drivers with higher and fixed incomes are more likely to choose digital payments over cash. This study highlights the importance of understanding the factors that influence payment mode choices of public transport drivers and provides insights valuable for policymakers to encourage the adoption of digital payment modes in the public transportation sector. Policymakers can focus on increasing awareness and trust in digital payment systems among older and higher working-hour drivers while incentivising auto drivers to adopt digital payment systems.