Publication detail

Trend forecasting for waste generation with structural break

SMEJKALOVÁ, V. ŠOMPLÁK, R. NEVRLÝ, V. BURCIN, B. KUČERA, T.

Original Title

Trend forecasting for waste generation with structural break

Type

journal article in Web of Science

Language

English

Original Abstract

For waste management planning, the adequate estimation of future waste production is crucial. Within waste production forecasting it is necessary to tackle with several challenges. The waste production data often consists of annual short time-series, but prediction horizon considers long-term estimation. Trend analysis seems to be a suitable approach for modelling waste production and its extrapolation. A methodology for forecasting waste generation based on historical data with a structural break is presented. To apply the approach, it is necessary to determine the estimation of separation potential. The principle is based on the idea of credibility theory where information from all territories is combined. Experience from other territories, which are more advanced in separation development, is used for forecasting. Finally, the population projection is taken into account to obtain information on absolute waste production. The case study is devoted to the forecasting of bio-waste production at the micro-regional level in the Czech Republic. There has been revealed an essential impact when population forecasting was included in the model. The increase in the average bio-waste production for micro-regions is expected. It will grow from 67 kg/cap/year in 2017 to 156 kg/cap/year in 2030. In 2030, most micro-regions would reach their potential based on this forecasting.

Keywords

Waste production; Structural break; Trend analysis; Credibility theory; Bio-waste; Population forecast

Authors

SMEJKALOVÁ, V.; ŠOMPLÁK, R.; NEVRLÝ, V.; BURCIN, B.; KUČERA, T.

Released

1. 9. 2020

ISBN

0959-6526

Periodical

Journal of Cleaner Production

Year of study

266

Number

1

State

United Kingdom of Great Britain and Northern Ireland

Pages from

1

Pages to

16

Pages count

16

URL

https://doi.org/10.1016/j.jclepro.2020.121814

BibTex

@article{BUT164166,
  author="Veronika {Smejkalová} and Radovan {Šomplák} and Vlastimír {Nevrlý} and Boris {Burcin} and Tomáš {Kučera}",
  title="Trend forecasting for waste generation with structural break",
  journal="Journal of Cleaner Production",
  year="2020",
  volume="266",
  number="1",
  pages="1--16",
  doi="10.1016/j.jclepro.2020.121814",
  issn="0959-6526",
  url="https://doi.org/10.1016/j.jclepro.2020.121814"
}