A comprehensive DEA-based framework for evaluating sustainability and efficiency of vehicle types: Integrating undesirable inputs and social-environmental indicators

The sustainability and efficiency of different vehicle types play a crucial role in reducing environmental impacts. As governments and industries move towards greener transportation, choosing an appropriate evaluation method remains a challenge. This study uses data envelopment analysis (DEA) to evaluate the efficiency of five major vehicle types – gasoline, diesel, hybrid, electric, and hydrogen – by considering key economic, environmental, and technical factors such as carbon emissions, fuel costs, and non-recyclable materials. The DEA results are then compared with a multiple regression model to analyze the impact of different independent variables on vehicle efficiency. The results of this study show that electric vehicles have the highest environmental and economic efficiency despite the challenges associated with battery recycling. In contrast, diesel vehicles have the lowest efficiency scores due to their high emissions and environmental costs. This study emphasizes the need for policy incentives to accelerate the adoption of sustainable vehicles, including infrastructure investments, financial incentives, and environmental considerations in efficiency assessments.

Authors

Institutions

Publication Details

Journal
Cleaner Engineering and Technology
Published
2025-05-05
DOI
https://doi.org/10.1016/j.clet.2025.100989
Citations
7
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
5.59

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A comprehensive DEA-based framework for evaluating sustainability and efficiency of vehicle types: Integrating undesirable inputs and social-environmental indicators

Václav Snåšel, Jan Platoš, Sara Fanati Rashidi, Seyedali Mirjalili et al.
7 citations
Cleaner Engineering and Technology
Environmental Impact and Sustainability
5.59
article

A comprehensive DEA-based framework for evaluating sustainability and efficiency of vehicle types: Integrating undesirable inputs and social-environmental indicators

Václav Snåšel, Jan Platoš, Sara Fanati Rashidi, Seyedali Mirjalili, Maryam Olfati
article en
7 citations

Abstract

The sustainability and efficiency of different vehicle types play a crucial role in reducing environmental impacts. As governments and industries move towards greener transportation, choosing an appropriate evaluation method remains a challenge. This study uses data envelopment analysis (DEA) to evaluate the efficiency of five major vehicle types – gasoline, diesel, hybrid, electric, and hydrogen – by considering key economic, environmental, and technical factors such as carbon emissions, fuel costs, and non-recyclable materials. The DEA results are then compared with a multiple regression model to analyze the impact of different independent variables on vehicle efficiency. The results of this study show that electric vehicles have the highest environmental and economic efficiency despite the challenges associated with battery recycling. In contrast, diesel vehicles have the lowest efficiency scores due to their high emissions and environmental costs. This study emphasizes the need for policy incentives to accelerate the adoption of sustainable vehicles, including infrastructure investments, financial incentives, and environmental considerations in efficiency assessments.

Cleaner Engineering and TechnologyVol. 27
VSB - Technical University of Ostrava (CZ), Torrens University Australia (AU)
Grantová Agentura České Republiky, Javna Agencija za Raziskovalno Dejavnost RS, Vysoká Škola Bánská - Technická Univerzita Ostrava
Responsible consumption and production
Openalex Percentile: Top 4%
Environmental Impact and Sustainability
5.59
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A comprehensive DEA-based framework for evaluating sustainability and efficiency of vehicle types: Integrating undesirable inputs and social-environmental indicators — Václav Snåšel, Jan Platoš, et al. · Cleaner Engineering and Technology (2025) | TGRS Research Map | TGRS