Gyan Management

Drivers of Electric Vehicle Adoption in Ludhiana: An Analysis of Determinants and Information Sources

Mehak Goyal¹, Vishal Vinayak¹ and Yashmin Sofat²

First Published 1 Apr 2026. https://doi.org/10.1177/09747621261419876

Article Information

Corresponding Author:

Mehak Goyal, Department of Commerce and Management, RIMT University, Mandi Gobindgarh, Punjab 147301, India.
Email: mehakgoyal6281@gmail.com

¹Department of Commerce and Management, RIMT University, Mandi Gobindgarh, Punjab, India

²Department of Commerce, A.S. College, Khanna, Punjab, India

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-Commercial use, reproduction and distribution of the work without further permission provided the original work is attributed.

Abstract

This study aims to identify the key factors driving consumer adoption of electric vehicles (EVs) and to assess how various information sources influence consumer awareness and purchase intent within the context of sustainable urban mobility. A mixed-methods approach was utilized, analyzing primary data gathered via a structured questionnaire from 450 respondents in Ludhiana, supplemented by secondary data from academic and industry sources. The data were analyzed using statistical techniques to identify core behavioral dimensions influencing consumer choice. The analysis reveals that consumer preferences are significantly shaped by environmental, technological, and social factors. Environmental concern emerged as the single strongest motivator for EV adoption. Critically, information sources—particularly social media—were found to play a vital role in both building awareness and driving purchase intentions. The findings underscore a challenge: while high environmental awareness fosters positive attitudes, limited consumer information, and perceived performance uncertainties continue to impede adoption. These insights provide valuable direction for policymakers and manufacturers to develop targeted public awareness campaigns and strategies focused on boosting consumer confidence.

Keywords

Consumer behavior, electric vehicles, information sources, factor analysis, sustainable mobility

References

Axsen, J., & Kurani, K. S. (2008). The early U.S. market for PHEVs: Anticipating consumer awareness, recharge potential, design priorities and energy impacts. Transportation Research Part A: Policy and Practice, 42(10), 166–177.

Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4.

George, D., & Mallery, P. (2019). IBM SPSS statistics 26 step by step: A simple guide and reference. Routledge.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage.

Lee, K., Moon, S., & Lee, J. (2021). Demographic influence on user satisfaction with electric vehicle charging. Transportation Research Part D: Transport and Environment, 91, 102709.

Meet, P., Alka, P., & Vidani, J. (2025). A comparative study on consumer satisfaction regarding EV vs petrol vehicle owners in Ahmedabad City. International Journal of Applied Research and Sustainable Sciences, 3(1), 113–132.

Singh, V., Singh, V., & Vaibhav, S. (2020). A review and simple meta-analysis of factors influencing adoption of electric vehicles. Transportation Research Part D: Transport and Environment, 86, 102436.

Siregar, A., Astari, F. I., Maharani, N. F. R., Lazuardy, A., Nurcahyo, R., & Habiburrahman, M. (2024). Analysis of user satisfaction with battery electric vehicles: Toward green transportation in Jakarta. Proceedings of the 2024 International Conference on Engineering, Technology, and Social Sciences (ICETSIS), 1178–1182.