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Papagiannis, F, Gazzola, P, Burak, O and Pokutsa, I (2021) A European household waste management approach: Intelligently clean Ukraine. Journal of Environmental Management, 294. ISSN 0301-4797
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A European household waste management approach Intelligently clean Ukraine.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (1MB) | Preview |
Abstract
The European-wide environmental obstacles of inefficient and unsustainable recycling systems and flows constrain household waste (HW) management, endangering the circular economy. The European 2020 strategy and ongoing environmental disasters indicate the ineffectiveness of the current HW sustainability practices. This paper introduces an artificial intelligence (AI) approach for calculating urban residual waste, based on its generation level. It reforms the current diverse and high discrepancy levels of HW residual for EU-countries and Ukraine. Adopting a k-means clustering method with a multi-criteria taxonomic development level index (TIDL), it produces uniform clusters with higher accuracy and manageability. Findings discover and remedy opaque managerial practices, enabling sustainable and environment-friendly development at national and regional levels for EU-countries. Results reveal an increased number of clusters in crisis, contributing to a methodological reference for environmental planning. In conclusion, this AI approach could have a European-wide impact on sustainable economic value-chain, converging toward an eco-friendly economy.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Science & Technology; Life Sciences & Biomedicine; Environmental Sciences; Environmental Sciences & Ecology; Household waste management; Sustainable development; Regional taxonomy; Artificial intelligence clustering; Environmental economy; FOOD WASTE; MODEL; GENERATION; DISPOSAL |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management |
| Divisions: | Business & Management (from Sep 19) |
| Publisher: | Elsevier |
| Related URLs: | |
| Date Deposited: | 04 Apr 2022 10:53 |
| Last Modified: | 10 Jun 2022 00:50 |
| DOI or ID number: | 10.1016/j.jenvman.2021.113015 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/16589 |
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