Selection Criteria and Comparative Analysis of Commercially Available Electric CARS Using the MOORA Method

The rapid development of electric vehicle (EV) technology has led to a significant transformation in the global automobile industry. With environmental concerns and rising fuel costs, consumers are increasingly drawn to electric cars as a sustainable alternative. However, choosing the right electric vehicle can be complicated due to the wide range of models, specifications, and features available. The aim of this study is to develop a comprehensive and data-driven methodology for evaluating and ranking commercially available electric cars. By using multi-criteria decision-making (MCDM) methods, this research facilitates informed decision-making for consumers, policymakers, and manufacturers in the emerging electric vehicle market. Research Significance: This study has significant value in the context of sustainable transportation and consumer choice optimization. By applying a structured approach using MCDM techniques, this research bridges the gap between technical vehicle specifications and user-centered decision-making. It empowers consumers with a transparent framework to evaluate electric vehicles based on important performance, efficiency, and cost parameters. In addition, it helps policymakers in devising incentives and strategies to promote appropriate EV models. These findings help manufacturers understand consumer preferences and thereby improve product development and market alignment. Overall, this study contributes to the rapid adoption of environmentally friendly transportation solutions. Mythology: Alternative: Nissan Leaf e+, BMW i3, Chevrolet Bolt EV, Tesla Model S, Renault ZOE, Hyundai Ioniq EV, Volkswagen e-Golf, Kia Soul EV, Smart Fortwo, Mini E. Evaluation Parameters: Battery capacity, Range, Quick charge time, Acceleration. Result: The results indicate that Volkswagen e-Golf achieved the highest rank, while Tesla Model S the lowest rank being attained. Conclusion: “The value of the dataset for Electric CAR, according to the MOORA Method, Volkswagen e-Golf achieves the highest ranking.

Publication Details

Journal
REST Journal on Data Analytics and Artificial Intelligence
Published
2025-05-06
DOI
https://doi.org/10.46632/jdaai/4/1/79
Primary Topic
Fault Detection and Control Systems
Type
article
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article

Selection Criteria and Comparative Analysis of Commercially Available Electric CARS Using the MOORA Method

REST Journal on Data Analytics and Artificial Intelligence
Fault Detection and Control Systems
article

Selection Criteria and Comparative Analysis of Commercially Available Electric CARS Using the MOORA Method

article en

Abstract

The rapid development of electric vehicle (EV) technology has led to a significant transformation in the global automobile industry. With environmental concerns and rising fuel costs, consumers are increasingly drawn to electric cars as a sustainable alternative. However, choosing the right electric vehicle can be complicated due to the wide range of models, specifications, and features available. The aim of this study is to develop a comprehensive and data-driven methodology for evaluating and ranking commercially available electric cars. By using multi-criteria decision-making (MCDM) methods, this research facilitates informed decision-making for consumers, policymakers, and manufacturers in the emerging electric vehicle market. Research Significance: This study has significant value in the context of sustainable transportation and consumer choice optimization. By applying a structured approach using MCDM techniques, this research bridges the gap between technical vehicle specifications and user-centered decision-making. It empowers consumers with a transparent framework to evaluate electric vehicles based on important performance, efficiency, and cost parameters. In addition, it helps policymakers in devising incentives and strategies to promote appropriate EV models. These findings help manufacturers understand consumer preferences and thereby improve product development and market alignment. Overall, this study contributes to the rapid adoption of environmentally friendly transportation solutions. Mythology: Alternative: Nissan Leaf e+, BMW i3, Chevrolet Bolt EV, Tesla Model S, Renault ZOE, Hyundai Ioniq EV, Volkswagen e-Golf, Kia Soul EV, Smart Fortwo, Mini E. Evaluation Parameters: Battery capacity, Range, Quick charge time, Acceleration. Result: The results indicate that Volkswagen e-Golf achieved the highest rank, while Tesla Model S the lowest rank being attained. Conclusion: “The value of the dataset for Electric CAR, according to the MOORA Method, Volkswagen e-Golf achieves the highest ranking.

REST Journal on Data Analytics and Artificial IntelligenceVol. 4(1 March 2025)
Openalex Percentile: Top 90%
Fault Detection and Control Systems
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Selection Criteria and Comparative Analysis of Commercially Available Electric CARS Using the MOORA Method · REST Journal on Data Analytics and Artificial Intelligence (2025) | TGRS Research Map | TGRS