Year
2023
Season
Summer
Paper Type
Master's Thesis
College
College of Computing, Engineering & Construction
Degree Name
Master of Science (MS)
Department
Engineering
NACO controlled Corporate Body
University of North Florida. School of Engineering
First Advisor
Dr. Ramin Shabanpour Anbarani
Second Advisor
Dr. Thobias Sando
Third Advisor
Dr. Cigdem Akan
Abstract
Sustainable transportation plays a crucial role in mitigating environmental impacts, and this study examines two key aspects, namely working from home (WFH) and the adoption of electric vehicles (EVs), in the context of promoting sustainable practices.
The first part of this thesis focuses on how people's perceptions towards working from home have changed as a result of their experiences during COVID-19. To analyze these changes, a random parameter logit (RPL) model is developed based on a nationwide public dataset collected during the pandemic in the United States. Dependent variable of the model is constructed through comparing data from the first and last waves of the survey, and is defined to recognize those who plan to (1) increase, (2) decrease, or (3) keep in the same range their WFH level. The findings provide implications for understanding WFH behavior and guiding policies related to telework.
The second part of this thesis focuses on Alternative fuel vehicles (AFVs), and in particular electric vehicles (EVs) adoption behavior through population clustering and subsequent discrete choice models to uncover diverse motivations and barriers for AEVs adoption within different segments of the population. By identifying distinct groups of individuals with similar characteristics and preferences related to EV adoption, the study enables a deeper understanding of the factors influencing their adoption decision. The findings of this section highlight the significance of socio-demographic and economic factors in shaping individuals’ preferences and choices related to sustainable transportation options.
In conclusion, this study deepens our understanding of sustainable transportation behaviors and offers valuable insights for policymakers and organizations seeking to foster sustainable practices and reduce carbon emissions. Through its comprehensive approach, embracing analysis of working from home and EV adoption, this research contributes to the advancement of sustainable transportation and urban sustainability goals, providing guidance for developing effective strategies and initiatives.
Suggested Citation
Bayati, Zeinab, "Sustainable Transportation: Behavioral Analysis of Working-from-Home and Electric Vehicles Adoption" (2023). UNF Graduate Theses and Dissertations. 1218.
https://digitalcommons.unf.edu/etd/1218