Modelling municipal waste separation rates using generalized linear models and beta regression
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http://dx.doi.org/10.1016/j.resconrec.2011.07.002 |
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Título
Modelling municipal waste separation rates using generalized linear models and beta regressionFecha de publicación
2011Editor
ElsevierISSN
0921-3449Cita bibliográfica
Resources, Conservation and Recycling (Oct. 2011) vol. 55, no. 12, p. 1129-1138Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://www.sciencedirect.com/science/article/pii/S0921344911001455Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Most cities are actually very concerned about the economic viability of waste management and also about the impact they may have on the environment. Economical, social and cultural factors in the population will ... [+]
Most cities are actually very concerned about the economic viability of waste management and also about the impact they may have on the environment. Economical, social and cultural factors in the population will determine the characteristics in waste and the value of the design parameters used in the calculations of a collection system. A clear understanding of these factors is fundamental to plan and to implement efficient and sustainable collecting strategies. Our goal in this work is to modelmunicipalwasteseparationrates in Spanish cities with over 50,000 inhabitants taking their different socio-economic, demographic and logistic covariates into account. Several statistical regressionmodels to manage continuous proportion data are compared, these being: Generalizedlinearmodels (GLM) with Binomial, Poisson and Gamma errors after several transformations of the data and Betaregression on the raw data. The best fits are obtained by using GLM Gamma and betaregression. Significant covariates for the different separationrates are obtained from these models, and the strength of the influence of all these factors on the response variable is calculated. All these results could be taken into account to design and to evaluate selective collection systems, and will allow us to make predictions on cities not included in this study. [-]
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© 2011 Elsevier Inc. All rights reserved
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