A Multi-criteria Framework Supporting Sustainability Assessment Considering SDG 7 Targets
Communications in Computer and Information Science, ISSN: 1865-0937, Vol: 1863 CCIS, Page: 291-302
2023
- 9Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures9
- Readers9
Conference Paper Description
Reliable assessment of countries’ performance concerning achieving the targets incorporated in Sustainable Development Goals (SDGs) requires appropriate methods considering multiple indicators. Sustainable development evaluation can be supported by engineering applications that automatize it and provide opportunities for comparative analysis of results. A combination of strategies involving developing clean energy systems and methodological frameworks for supervising and measuring sustainable energy systems could help evaluate regions regarding sustainable, clean energy systems, which contribute to improving air quality. This paper aims to present the framework based on multi-criteria decision analysis (MCDA) methods that can serve as a methodical engine for such applications. The proposed framework provides tools for comparative analysis and validation of results. Research confirmed results reliability and usefulness of the proposed framework in countries’ assessment in compliance with SDG 7 targets.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85174524573&origin=inward; http://dx.doi.org/10.1007/978-3-031-42430-4_24; https://link.springer.com/10.1007/978-3-031-42430-4_24; https://dx.doi.org/10.1007/978-3-031-42430-4_24; https://link.springer.com/chapter/10.1007/978-3-031-42430-4_24
Springer Science and Business Media LLC
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