1. bookVolume 28 (2022): Issue 2 (June 2022)
Journal Details
License
Format
Journal
eISSN
2353-7779
First Published
30 Mar 2018
Publication timeframe
4 times per year
Languages
English
access type Open Access

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

Published Online: 19 May 2022
Volume & Issue: Volume 28 (2022) - Issue 2 (June 2022)
Page range: 150 - 156
Received: 21 Dec 2021
Accepted: 23 Feb 2022
Journal Details
License
Format
Journal
eISSN
2353-7779
First Published
30 Mar 2018
Publication timeframe
4 times per year
Languages
English
Abstract

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).

Keywords

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