Meta-comparisons: how to compare methods for LCA?
نویسندگان
چکیده
Abstract Introduction Many methodological papers report a comparison of methods for LCA, instance comparing different impact assessment systems, or developing streamlined methods. A popular way to do so is by studying the differences results number products. We refer such studies as quasi-empirical meta-comparisons. Review existing approaches scan literature reveals that many and indicators are employed: contribution analyses, Pearson correlations, Spearman regression, significance tests, neural networks, etc. Critical discussion critically examine current practice conclude some widely used associated with important deficits. new approach Inspired critical analysis, we develop meta-comparative based on directional statistics. apply it several real-world test cases, analyze its performance vis-à-vis traditional regression-based approaches. Conclusion The method basis statistics withstands tests changing scale unit training data. As such, holds promise improved comparisons.
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ژورنال
عنوان ژورنال: International Journal of Life Cycle Assessment
سال: 2022
ISSN: ['0948-3349', '1614-7502']
DOI: https://doi.org/10.1007/s11367-022-02075-4