AI-DRIVEN INSIGHTS INTO CONSUMER BEHAVIOR AND SATISFACTION ON GREEN MOBILITY A CASE STUDY OF EV ADOPTION IN CHENNAI

Abstract

The rising demand for sustainable transportation has propelled the adoption of electric vehicles (EVs) across urban India. Chennai, one of the country’s major metropolitan cities, has witnessed a growing interest in EVs, spurred by increasing environmental awareness and government incentives. However, the long-term success of EVs hinges on understanding consumer preferences and satisfaction levels. This study explores these dimensions using artificial intelligence (AI)-driven methods, offering deeper insights into behavioral patterns and sentiments. By collecting primary data through structured surveys and applying machine learning algorithms, including clustering, sentiment analysis, and predictive modeling, the research uncovers the key factors influencing EV adoption. The study also identifies demographic and psychological variables that correlate with satisfaction and intent to repurchase or recommend. The findings aim to guide policymakers, automakers, and marketers in framing data-backed strategies for boosting green mobility adoption in Chennai and similar urban ecosystems.