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Article

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

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Regione Puglia—Sezione Ciclo Rifiuti e Bonifiche, 70125 Bari, Italy
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Regione Puglia—Dipartimento Mobilità, Qualità Urbana, Opere Pubbliche e Paesaggio, 70125 Bari, Italy
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Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(2), 752; https://doi.org/10.3390/ijerph18020752
Received: 28 October 2020 / Revised: 9 December 2020 / Accepted: 14 January 2021 / Published: 17 January 2021
(This article belongs to the Section Environmental Science and Engineering)
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. View Full-Text
Keywords: municipal solid waste; deep learning; municipal collection centers; door to door service; separate collection; waste management municipal solid waste; deep learning; municipal collection centers; door to door service; separate collection; waste management
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MDPI and ACS Style

Fasano, F.; Addante, A.S.; Valenzano, B.; Scannicchio, G. Variables Influencing per Capita Production, Separate Collection, and Costs of Municipal Solid Waste in the Apulia Region (Italy): An Experience of Deep Learning. Int. J. Environ. Res. Public Health 2021, 18, 752. https://doi.org/10.3390/ijerph18020752

AMA Style

Fasano F, Addante AS, Valenzano B, Scannicchio G. Variables Influencing per Capita Production, Separate Collection, and Costs of Municipal Solid Waste in the Apulia Region (Italy): An Experience of Deep Learning. International Journal of Environmental Research and Public Health. 2021; 18(2):752. https://doi.org/10.3390/ijerph18020752

Chicago/Turabian Style

Fasano, Fabrizio, Anna S. Addante, Barbara Valenzano, and Giovanni Scannicchio. 2021. "Variables Influencing per Capita Production, Separate Collection, and Costs of Municipal Solid Waste in the Apulia Region (Italy): An Experience of Deep Learning" International Journal of Environmental Research and Public Health 18, no. 2: 752. https://doi.org/10.3390/ijerph18020752

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