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Variables Influencing per Capita Production, Separate Collection, and Costs of Municipal Solid Waste in the Apulia Region (Italy): An Experience of Deep Learning

Municipal solid waste (MSW) must be managed to reduce its impact on environmental matrices and population health as much as possible. In particular, the variables that influence the production, separate waste collection, and costs of MSW must be understood. Although many studies have shown that such...

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Detalles Bibliográficos
Autores principales: Fasano, Fabrizio, Addante, Anna Sabrina, Valenzano, Barbara, Scannicchio, Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7830471/
https://www.ncbi.nlm.nih.gov/pubmed/33477308
http://dx.doi.org/10.3390/ijerph18020752
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author Fasano, Fabrizio
Addante, Anna Sabrina
Valenzano, Barbara
Scannicchio, Giovanni
author_facet Fasano, Fabrizio
Addante, Anna Sabrina
Valenzano, Barbara
Scannicchio, Giovanni
author_sort Fasano, Fabrizio
collection PubMed
description Municipal solid waste (MSW) must be managed to reduce its impact on environmental matrices and population health as much as possible. In particular, the variables that influence the production, separate waste collection, and costs of MSW must be understood. Although many studies have shown that such factors are specific to an area, the awareness of these factors has created opportunities to implement operations to enable more effective and efficient MSW management services, and to specifically respond to the variables that have the most impact. The deep learning approaches used in this study are effective in achieving this goal and can be used in any other territorial context to ensure that the organizations that deal with these issues are more aware and create useful plans to promote the circular economy. Our findings indicate the important influence of number of rooms in a residential buildings and construction years on MSW production, the combination of services such as municipal collection centers and door-to-door service for separate MSW collection and the characteristics of the residential buildings in the municipalities on MSW management costs.
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spelling pubmed-78304712021-01-26 Variables Influencing per Capita Production, Separate Collection, and Costs of Municipal Solid Waste in the Apulia Region (Italy): An Experience of Deep Learning Fasano, Fabrizio Addante, Anna Sabrina Valenzano, Barbara Scannicchio, Giovanni Int J Environ Res Public Health Article Municipal solid waste (MSW) must be managed to reduce its impact on environmental matrices and population health as much as possible. In particular, the variables that influence the production, separate waste collection, and costs of MSW must be understood. Although many studies have shown that such factors are specific to an area, the awareness of these factors has created opportunities to implement operations to enable more effective and efficient MSW management services, and to specifically respond to the variables that have the most impact. The deep learning approaches used in this study are effective in achieving this goal and can be used in any other territorial context to ensure that the organizations that deal with these issues are more aware and create useful plans to promote the circular economy. Our findings indicate the important influence of number of rooms in a residential buildings and construction years on MSW production, the combination of services such as municipal collection centers and door-to-door service for separate MSW collection and the characteristics of the residential buildings in the municipalities on MSW management costs. MDPI 2021-01-17 2021-01 /pmc/articles/PMC7830471/ /pubmed/33477308 http://dx.doi.org/10.3390/ijerph18020752 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fasano, Fabrizio
Addante, Anna Sabrina
Valenzano, Barbara
Scannicchio, Giovanni
Variables Influencing per Capita Production, Separate Collection, and Costs of Municipal Solid Waste in the Apulia Region (Italy): An Experience of Deep Learning
title Variables Influencing per Capita Production, Separate Collection, and Costs of Municipal Solid Waste in the Apulia Region (Italy): An Experience of Deep Learning
title_full Variables Influencing per Capita Production, Separate Collection, and Costs of Municipal Solid Waste in the Apulia Region (Italy): An Experience of Deep Learning
title_fullStr Variables Influencing per Capita Production, Separate Collection, and Costs of Municipal Solid Waste in the Apulia Region (Italy): An Experience of Deep Learning
title_full_unstemmed Variables Influencing per Capita Production, Separate Collection, and Costs of Municipal Solid Waste in the Apulia Region (Italy): An Experience of Deep Learning
title_short Variables Influencing per Capita Production, Separate Collection, and Costs of Municipal Solid Waste in the Apulia Region (Italy): An Experience of Deep Learning
title_sort variables influencing per capita production, separate collection, and costs of municipal solid waste in the apulia region (italy): an experience of deep learning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7830471/
https://www.ncbi.nlm.nih.gov/pubmed/33477308
http://dx.doi.org/10.3390/ijerph18020752
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