Econometric Modelling Approach to Explore the EV Adoption and Charging Opportunities at Workplace

The transportation sector is a significant contributor to CO 2 emissions, and it is imperative to electrify the existing fleet to mitigate this issue. Researchers worldwide are focused on identifying influential factors for electric vehicle (EV) adoption and the optimal location for charging stations. This study contributes to the current literature by utilizing the Halifax Sustainable Transport Survey to answer these research questions. The study employs Binary Logistic Regression (BLR) and Ordered Logistic Regression (OLR) models to identify the determinants of EV adoption and the importance of installing Electric Vehicle Charging Stations (EVCS) at workplaces. The study has yielded critical outcomes, such as individuals between the ages of 25 to 44 being more inclined to adopt EVs, particularly for shorter travel distances due to insufficient charging infrastructure for longer distances. The study also found that respondents who work daily or 3-4 times per week exhibit a greater interest in installing EV charging stations at their workplace. The implications of this research will aid policymakers in developing a sustainable transportation infrastructure to reduce vehicular emissions and provide a better living environment for the residents of Halifax.