AI Summary & Key Takeaways
AI InsightThe findings indicate that battery capacity and motor power are the most decisive factors in aircraft selection, diverging from automotive studies where cost criteria dominate.
📌 3 Key Takeaways
Abstract
This study aims to comparatively analyze the most preferred electric aircraft models in the world as of 2024 based on performance criteria. While previous multi-criteria decision-making (MCDM) applications have predominantly focused on electric vehicles or hybrid energy systems, this research expands the methodological scope by directly applying the Entropy and TOPSIS methods to electric aviation. The findings indicate that battery capacity and motor power are the most decisive factors in aircraft selection, diverging from automotive studies where cost criteria dominate. The results provide a data-driven and objective framework for guiding aircraft design, procurement, and policy-making in the rapidly expanding electric aviation sector. The originality of this research lies in extending MCDM methodologies to a novel and highly relevant field, thereby addressing an important gap in sustainable aviation literature. By positioning the study against prior applications, it demonstrates the methodological adaptability of Entropy and TOPSIS while generating insights with both academic and industrial relevance. However, the study is subject to certain limitations. The analysis relies on manufacturer-provided technical data and excludes prototype and military aircraft models, which may constrain the generalizability of the results. Despite these limitations, the research contributes to the advancement of sustainable aviation by offering a transparent, reproducible, and timely evaluation of commercially available electric aircraft.