基于dea的综合车辆可持续性和效率评估框架:整合不良投入和社会环境指标

IF 5.3 Q2 ENGINEERING, ENVIRONMENTAL
Sara Fanati Rashidi , Maryam Olfati , Seyedali Mirjalili , Jan Platoš , Vaclav Snášel
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引用次数: 0

摘要

不同类型车辆的可持续性和效率在减少环境影响方面发挥着至关重要的作用。随着政府和行业向绿色交通的发展,选择合适的评估方法仍然是一个挑战。本研究使用数据包络分析(DEA)来评估五种主要车辆类型(汽油、柴油、混合动力、电动和氢)的效率,并考虑到关键的经济、环境和技术因素,如碳排放、燃料成本和不可回收材料。然后将DEA结果与多元回归模型进行比较,分析不同自变量对车辆效率的影响。这项研究的结果表明,尽管与电池回收相关的挑战,电动汽车具有最高的环境和经济效率。相比之下,柴油车由于高排放和环境成本,效率得分最低。本研究强调需要政策激励来加速采用可持续交通工具,包括基础设施投资、财政激励和效率评估中的环境考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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.
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来源期刊
Cleaner Engineering and Technology
Cleaner Engineering and Technology Engineering-Engineering (miscellaneous)
CiteScore
9.80
自引率
0.00%
发文量
218
审稿时长
21 weeks
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