Modeling EV Adoption Potential Using Public Perception and Infrastructure Accessibility

Abstract: The transition to electric vehicles (EVs) is essential for reducing carbon emissions and promoting sustainable transportation. However, the success of EV adoption depends not only on technological advancements but also on public perception and the availability of supporting infrastructure. This study develops a predictive model to identify regions in Oklahoma with high potential for EV adoption by analyzing public perception expressed on social media, along with demographic data and charging infrastructure accessibility. By leveraging geolocated Twitter (X posts) data from 2020 to 2022, we map and analyze discussions about EVs, focusing on key themes such as cost, convenience, environmental benefits, and technological concerns. We integrate this information with census data to explore regional variations in interest and engagement. Using machine learning algorithms, we build a predictive model that combines public perception metrics, demographic characteristics, and spatial accessibility to existing EV charging stations. The model is validated against real-world EV registration data to ensure accuracy and reliability. Geospatial analysis is employed to identify infrastructure gaps, highlighting regions where public interest in EVs is high but charging facilities are limited. Additionally, network analysis is used to assess accessibility, pinpointing areas where improved infrastructure could enhance adoption rates. The findings offer strategic insights for policymakers and industry stakeholders, enabling data-driven decisions on investments in new charging stations and addressing regional disparities in EV accessibility. This research also guides effective public engagement by identifying common concerns and interests, supporting targeted communication strategies to promote EV adoption. By integrating public perception analysis with infrastructure planning, this study presents a comprehensive approach to fostering a sustainable, inclusive, and equitable transition to electric mobility in Oklahoma.