Forecasting municipal waste accumulation rate and personal consumption expenditures using vector autoregressive (VAR) model

Accurate forecasting of municipal solid waste (MSW) generation is important for the planning, operation and optimization of municipal waste management system. However, it’s not easy task due to dynamic changes in waste volume, its composition or unpredictable factors. Initially, mainly conventional...

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Main Author: Bień Jurand
Format: Article
Language:English
Published: Sciendo 2022-06-01
Series:Production Engineering Archives
Subjects:
Online Access:https://doi.org/10.30657/pea.2022.28.17
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author Bień Jurand
author_facet Bień Jurand
author_sort Bień Jurand
collection DOAJ
description Accurate forecasting of municipal solid waste (MSW) generation is important for the planning, operation and optimization of municipal waste management system. However, it’s not easy task due to dynamic changes in waste volume, its composition or unpredictable factors. Initially, mainly conventional and descriptive statistical models of waste generation forecasting with demographic and socioeconomic factors were used. Methods based on machine learning or artificial intelligence have been widely used in municipal waste projection for several years. This study investigates the trend of municipal waste accumulation rate and its relation to personal consumption expenditures based on the yearly data achieved from Local Data Bank (LDB) driven by Polish Statistical Office. The effect of personal consumption expenditures on the municipal waste accumulation rate was analysed by using the vector autoregressive model (VAR). The results showed that such method can be successfully used for this purpose with an approximate level of 2.3% Root Mean Square Error (RMSE).
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spelling doaj.art-fec87fab27d94f0f913031674d89ab982022-12-22T03:23:38ZengSciendoProduction Engineering Archives2353-77792022-06-0128215015610.30657/pea.2022.28.17Forecasting municipal waste accumulation rate and personal consumption expenditures using vector autoregressive (VAR) modelBień Jurand0Czestochowa University of Technology, Faculty of Infrastructure and Environment, Dabrowskiego73, 42-200Czestochowa, PolandAccurate forecasting of municipal solid waste (MSW) generation is important for the planning, operation and optimization of municipal waste management system. However, it’s not easy task due to dynamic changes in waste volume, its composition or unpredictable factors. Initially, mainly conventional and descriptive statistical models of waste generation forecasting with demographic and socioeconomic factors were used. Methods based on machine learning or artificial intelligence have been widely used in municipal waste projection for several years. This study investigates the trend of municipal waste accumulation rate and its relation to personal consumption expenditures based on the yearly data achieved from Local Data Bank (LDB) driven by Polish Statistical Office. The effect of personal consumption expenditures on the municipal waste accumulation rate was analysed by using the vector autoregressive model (VAR). The results showed that such method can be successfully used for this purpose with an approximate level of 2.3% Root Mean Square Error (RMSE).https://doi.org/10.30657/pea.2022.28.17waste accumulation rateconsumption expendituresforecastingtime-series analysismultivariate time seriesvector autoregression model
spellingShingle Bień Jurand
Forecasting municipal waste accumulation rate and personal consumption expenditures using vector autoregressive (VAR) model
Production Engineering Archives
waste accumulation rate
consumption expenditures
forecasting
time-series analysis
multivariate time series
vector autoregression model
title Forecasting municipal waste accumulation rate and personal consumption expenditures using vector autoregressive (VAR) model
title_full Forecasting municipal waste accumulation rate and personal consumption expenditures using vector autoregressive (VAR) model
title_fullStr Forecasting municipal waste accumulation rate and personal consumption expenditures using vector autoregressive (VAR) model
title_full_unstemmed Forecasting municipal waste accumulation rate and personal consumption expenditures using vector autoregressive (VAR) model
title_short Forecasting municipal waste accumulation rate and personal consumption expenditures using vector autoregressive (VAR) model
title_sort forecasting municipal waste accumulation rate and personal consumption expenditures using vector autoregressive var model
topic waste accumulation rate
consumption expenditures
forecasting
time-series analysis
multivariate time series
vector autoregression model
url https://doi.org/10.30657/pea.2022.28.17
work_keys_str_mv AT bienjurand forecastingmunicipalwasteaccumulationrateandpersonalconsumptionexpendituresusingvectorautoregressivevarmodel