CONSUMER PERCEPTION ON ELECTRIC VEHICLES: A CASE STUDY OF DEHRADUN AND LUCKNOW
For this study, a consumer perception structural model was prepared to know the perception level of consumers. Four points were considered: environmental concerns, driving range, vehicle prices, and infrastructure facilities. The study collected primary data from Dehradun and Lucknow vehicle owners through a structured questionnaire. The collected data were analyzed with the help of SPSS software and M.S. Excel. A consumer perception regression model was prepared to investigate consumer perceptions of vehicles. It was observed from the Consumer Perception Regression Model that the vehicle's driving range (x3) and the infrastructure facility for the vehicle (x4) variables were found to be positively related to consumer perception towards electric vehicles. On the other hand, explaining the relationship between the independent variable of environmental concern(x1) and the price of electric vehicles (x2) was also necessary, which is negatively associated with the consumer perception level in the prevailing situation. It may be concluded from the results that the interest in using electric vehicles is increasing among vehicle users and shifting their desire to have electric vehicles. The population in survey areas is very much conscious about a clean environment and better health issues. There is a bright future in the market for electric vehicles, and they are contributing a significant role in reducing carbon dioxide levels and air pollution. The electric vehicle is a better option than fuel-based vehicles to protect the environment and the health of human beings on earth.It may be concluded that the consumer perception towards electric vehicles depends on various factors, such as whether those are favourable or not favourable for electric cars. Where consumers live and have favourable or non-favourable conditions for electric vehicles.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-01-26
- DOI
- https://doi.org/10.5281/zenodo.14742104
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 0.00