Analyzing key determinants affecting electric vehicle adoption in Sri Lanka: a comprehensive evaluation

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Date

2023-11-09

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Publisher

IEEE

Abstract

This study examines the factors influencing the adoption of electric vehicles (EVs) in Sri Lanka using a Multi- Attribute Utility Theory (MAUT) approach. The online questionnaire received responses from 210 participants, providing valuable insights into their preferences and expectations. The Likert scale was employed to assess the importance of various factors and attributes associated with EV adoption. MAUT was applied to analyze the collected data, taking into account multiple criteria and subjective user preferences. The analysis highlighted the significance of vehicle performance, financial factors, government policies, environmental concerns, product knowledge, social influence, and infrastructure availability in shaping EV adoption. Furthermore, the study also identified the importance of specific attributes within each factor and the preferences of the different respondent groups. These findings contribute to a deeper understanding of the factors driving EV adoption and guide policymakers and stakeholders in promoting sustainable transportation solutions in Sri Lanka.

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Keywords

Electric vehicles, Factors, Attributes, MAUT, Preferences

Citation

P. Saranjan, T. Thilakshan and J. M. S. J. Bandara, "Analyzing Key Determinants Affecting Electric Vehicle Adoption in Sri Lanka: A Comprehensive Evaluation," 2023 Moratuwa Engineering Research Conference (MERCon), Moratuwa, Sri Lanka, 2023, pp. 788-793, doi: 10.1109/MERCon60487.2023.10355410.

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