Abstract for presentation (Poster or Podium) with a Paper in the Conference Proceedings
Intelligent Transportation Systems
Apurva Pamidimukkala, PhD
Assistant Professor of Research
University of Texas at Arlington
Arlington, TX, United States
Sharareh Kermanshachi, PhD, P.E.
Associate Professor
University of Texas at Arlington
Arlington, TX, United States
Jay M. Rosenberger, PhD (he/him/his)
Professor
The University of Texas at Arlington
Arlington, TX, United States
Greg Hladik, PhD, MS, BS (he/him/his)
Executive Director- Auxiliary Services
The University of Texas at Arlington
Arlington, TX, United States
Apurva Pamidimukkala, PhD
Assistant Professor of Research
University of Texas at Arlington
Arlington, TX, United States
The ever-increasing concern over climate change is compelling global economies to employ alternative fuel technology to combat the vehicular emissions of greenhouse gases. Electric vehicles (EVs) offer a viable environmentally friendly alternative that has the potential to facilitate a shift towards a sustainable, low-emission transportation system while preserving the environment. This study employed the theory of planned behavior (TPB) and incorporated additional factors such as price value, moral norms, and financial incentives to examine consumers’ intention to adopt EVs. A survey was administered to prospective consumers at the University of Texas at Arlington in March 2023 and the 743 responses were analyzed, using a structural equation model (SEM), to determine which factors have the greatest impact on EV adoption. The results revealed that attitudes, subjective norms, perceived behavior control, moral norms, and price value positively and significantly influenced consumers’ intentions to adopt EVs; however, they also found that financial incentives do not have a statistically significant effect on consumers’ propensity to adopt EVs.