Integrating Life Cycle Assessment and TOPSIS for Product-Level Sustainability Evaluation of Automotive Vehicles
統合ライフサイクルアセスメントとTOPSISによる自動車製品の持続可能性評価 (AI 翻訳)
Minghui Zheng, Hengxin Chen, Jidan Huang
🤖 gxceed AI 要約
日本語
本研究は、電気自動車の製品レベルでの持続可能性評価のため、二段階非補償型評価フレームワークを提案する。第一段階ではライフサイクルアセスメントに基づく炭素排出閾値を設定し、超える車種は排除。第二段階で残りの車種を経済・社会・技術の10指標で評価し、エントロピー加重、FAHP、TOPSISを用いて総合順位を算出。7車種のBEVセダンに適用した結果、2車種が排除され、最上位は炭素排出最小ではなくバランスのとれた車種であった。
English
This study proposes a two-stage non-compensatory evaluation framework for product-level sustainability assessment of battery electric vehicles (BEVs). First, a carbon footprint threshold based on life cycle assessment (LCA) eliminates any candidate exceeding it. Second, the remaining models are evaluated across ten economic, social, and technical indicators using entropy weighting, fuzzy AHP, and TOPSIS. Applied to seven mainstream BEV midsize sedans, the framework eliminated two high-carbon models, and the top-ranked model showed balanced performance, demonstrating that environmental and overall competitiveness can be synergistic.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本でも自動車分野のカーボンフットプリント規制が強化されており、本手法は非補償型の評価基準として参考になる。企業の製品サステナビリティ評価やエコプロダクツ設計に活用可能。
In the global GX context
As global automotive regulations increasingly focus on lifecycle carbon footprints, this non-compensatory framework offers a robust method for integrating LCA thresholds into multi-criteria decision-making. It is relevant for EU's proposed carbon footprint rules and ISSB's sustainability standards for product-level reporting.
👥 読者別の含意
🔬研究者:Contributes a methodological innovation in multi-criteria decision analysis for EV sustainability, combining LCA threshold with TOPSIS.
🏢実務担当者:Provides a replicable framework for product-level sustainability evaluation, useful for automakers benchmarking their EV models.
🏛政策担当者:Demonstrates how non-compensatory carbon thresholds can be systematically applied in regulatory or labeling schemes.
📄 Abstract（原文）
Against the backdrop of the automotive industry’s transition to low-carbon operations, assessing the sustainability of pure electric vehicle products remains crucial. Existing multi-criteria evaluation methods often follow a compensatory logic, allowing high carbon emissions to be offset by other advantages. This contradicts the core principle that sustainability must be non-negotiable. To address this issue, we propose a two-stage non-compensatory evaluation framework. First, we apply a carbon footprint threshold based on life cycle assessment: any candidate vehicle exceeding this threshold is eliminated. Second, the remaining models are evaluated across ten indicators (economic, social, and technical), and a comprehensive ranking is generated using entropy weighting, fuzzy analytic hierarchy process (FAHP), and the TOPSIS method. This framework has been validated on seven mainstream BEV midsize sedans. The results show that the non-compensatory screening mechanism eliminated two high-carbon-emission models, confirming that environmental criteria must be considered independently. The top-ranked model was not the one with the lowest carbon emissions but rather the one demonstrating balanced performance, indicating that environmental performance and overall competitiveness can be enhanced synergistically. The ranking results remained relatively robust even under a combination of objective and subjective weightings. This study provides a more logically consistent tool for evaluating pure electric vehicles at the product level.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18115615first seen 2026-06-04 05:04:26
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