1974
DOI: 10.1061/jeegav.0000272
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Waste Generation Models for Solid Waste Collection

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Cited by 35 publications
(5 citation statements)
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“…Since the amount of municipal waste is closely related to the number of inhabitants, it is necessary to know not only demographic trends, but also changes in the amount and fractions of municipal waste and these amounts are closely related to the standard of living, i.e., the level of residents' income [2][3][4][5][6]. For many years, attempts have been made to model and predict the quantity and fractions of municipal waste [7][8][9][10][11][12][13][14][15][16][17][18]. Various types of models were used-regression [19,20], stochastic [21,22] or with the use of artificial neural networks [23,24], often with good results, close to reality.…”
Section: Introductionmentioning
confidence: 99%
“…Since the amount of municipal waste is closely related to the number of inhabitants, it is necessary to know not only demographic trends, but also changes in the amount and fractions of municipal waste and these amounts are closely related to the standard of living, i.e., the level of residents' income [2][3][4][5][6]. For many years, attempts have been made to model and predict the quantity and fractions of municipal waste [7][8][9][10][11][12][13][14][15][16][17][18]. Various types of models were used-regression [19,20], stochastic [21,22] or with the use of artificial neural networks [23,24], often with good results, close to reality.…”
Section: Introductionmentioning
confidence: 99%
“…Around the world, the generation of waste is increasing. The amount of waste generated by a country is proportional to its population and the mean living standards of the people (Grossmann et al, 1974). Furthermore, Medina (1997) indicated that the waste generation rates have a close relationship with the income levels of people.…”
Section: Introductionmentioning
confidence: 99%
“…Regarding the second set of regressors, socio-economic factors may affect wasterelated activities in various ways. Grossmann et al (1974) and Al-Momani (1994) found that the relationships obtained among several socio-economic factors vary across countries. This has been attributed to variations in consumer behaviour and lifestyles (Stern et al 1995;Kaiser 1998;Kaiser et al 1999;Barr et al 2001a, b).…”
Section: Variable Choice and Theoretical Justificationmentioning
confidence: 99%