Graduation Semester and Year
2023
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Civil Engineering
Department
Civil Engineering
First Advisor
Sharareh Kermanshachi
Abstract
ABSTRACT: 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 an effective shift towards a sustainable transportation system with low emissions while preserving the environment. However, well-intentioned policies and other incentives have not been able to transcend the factors that prevent their adoption. Therefore, this research aims to develop three models to determine the factors affecting consumers’ willingness to adopt EVs. A questionnaire survey was designed based on an extensive literature search to accomplish the study's aim. The survey was administered to a population of 10,000 students, faculty, and staff who held active parking permits at the University of Texas at Arlington (UTA). The survey was electronically disseminated through an online platform QuestionPro, and after two rounds of reminder emails, 743 valid and complete responses were received. Based on the collected survey data, the first model identified the technological, infrastructure, financial, and environmental factors influencing the consumers' intention to adopt EVs. Model 1 results indicated that of the four categories of barriers, only the environmental barriers are not significant. The second model examined the consolidative framework of personality beliefs- the intention to understand consumers’ intention to adopt EVs. The model revealed that perceived ease of use, personal innovativeness, and perceived usefulness positively impact consumers’ intention to adopt EVs, while perceived risk harms the perceived usefulness and adoption intention of EVs. Additionally, consumers’ personal innovativeness positively influences perceived ease of use and perceived usefulness and negatively influences perceived risk. Furthermore, the findings also reveal that perceived ease of use, usefulness, and risk partly mediate the influence of personal innovativeness on the EV adoption intention. The third model utilized 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. The results reveal that attitude, subjective norms, perceived behavior control, moral norms, and price value significantly affect consumers’ intentions to adopt EVs. Nevertheless, the findings indicate that providing financial incentives does not statistically impact consumers’ adoption intention. The outcomes of this study may aid policymakers in developing effective transportation and energy policies and guide those responsible for designing EVs that fit the needs and demands of potential consumers.
Keywords
Electric vehicles, Consumers, Adoption intention, Cluster analysis, Theory of Planned Behavior, Technology Acceptance Model
Disciplines
Civil and Environmental Engineering | Civil Engineering | Engineering
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Pamidimukkala, Apurva, "MODEL DEVELOPMENT TO EVALUATE CONSUMERS’ INTENTION TO ADOPT ELECTRIC VEHICLES" (2023). Civil Engineering Dissertations. 362.
https://mavmatrix.uta.edu/civilengineering_dissertations/362
Comments
Degree granted by The University of Texas at Arlington