The main objective of this study was to develop models for accurate prediction of municipal
solid waste (MSW) generation and diversion based on demographic and socio-economic …

The main aim of this work was to compare six machine learning (ML)-based models to
predict the municipal solid waste (MSW) generation from selected residential areas of …

Municipal solid waste (MSW) management is a major concern to local governments to
protect human health, the environment and to preserve natural resources. The design and …

Municipal solid waste (MSW) generation forecasting has become an important tool for
decision-making in urban environments, not only due to its essential role in effective waste …

Abstract Development of a Municipal Solid Waste Management (MSWM) plan is a complex
process. As a foundation and prerequisite for efficient MSWM plan, quantification and …

As one of the most popular non-linear models, artificial neural network (ANN) has been
successfully applied in the prediction of municipal solid waste (MSW). Despite its high …

Predicting the mass of solid waste generation plays an important role in integrated solid
waste management plans. In this study, the performance of two predictive models, Artificial …

The objective of this paper is to review previously published models of municipal solid waste
generation and to propose an implementation guideline which will provide a compromise …

Cities in mainland China are usually classified according to geographical locations. This
traditional city classification system is limited to relative fixed factors, which lives out a gap in …

Increasing municipal solid waste (MSW) generation has become not only a major
sustainability challenge and a considerable financial burden for municipalities across the …