Predictive modelling as a tool for effective municipal waste management policy at different territorial levels

• Published in: Journal of environmental management Vol. 291; p. 112584
• Main Authors: Rosecký, Martin, Šomplák, Radovan, Slavík, Jan, Kalina, Jiří, Bulková, Gabriela, Bednář, Josef
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.08.2021
• Subjects: age structure; circular economy; Czech Republic; data quality; educational status; energy recovery; linear models; Machine learning; Municipal waste generation; population density; prediction; prognosis; Public policy; regression analysis; Regression modelling; Socio-economic factors; socioeconomics; Territorial levels; Czech Republic; Public policy; Territorial levels; Machine learning; Socio-economic factors; Municipal waste generation; Regression modelling

Nowadays, the European municipal waste management policy based on the circular economy paradigm demands the closing of material and financial loops at all territorial levels of public administration. The effective planning of treatment capacities (especially sorting plants, recycling, and energy rec...