Assessment strategies for municipal selective waste collection schemes

Copyright © 2016 Elsevier Ltd. All rights reserved.

Bibliographische Detailangaben
Veröffentlicht in:Waste management (New York, N.Y.). - 1999. - 59(2017) vom: 01. Jan., Seite 3-13
1. Verfasser: Ferreira, Fátima (VerfasserIn)
Weitere Verfasser: Avelino, Catarina, Bentes, Isabel, Matos, Cristina, Teixeira, Carlos Afonso
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2017
Zugriff auf das übergeordnete Werk:Waste management (New York, N.Y.)
Schlagworte:Journal Article Collection schemes Performance indicators Performance índex Selective collection Solid waste collection Waste management Solid Waste
Beschreibung
Zusammenfassung:Copyright © 2016 Elsevier Ltd. All rights reserved.
An important strategy to promote a strong sustainable growth relies on an efficient municipal waste management, and phasing out waste landfilling through waste prevention and recycling emerges as a major target. For this purpose, effective collection schemes are required, in particular those regarding selective waste collection, pursuing a more efficient and high quality recycling of reusable materials. This paper addresses the assessment and benchmarking of selective collection schemes, relevant to guide future operational improvements. In particular, the assessment is based on the monitoring and statistical analysis of a core-set of performance indicators that highlights collection trends, complemented with a performance index that gathers a weighted linear combination of these indicators. This combined analysis underlines a potential tool to support decision makers involved in the process of selecting the collection scheme with best overall performance. The presented approach was applied to a case study conducted in Oporto Municipality, with data gathered from two distinct selective collection schemes
Beschreibung:Date Completed 10.05.2017
Date Revised 02.12.2018
published: Print-Electronic
Citation Status MEDLINE
ISSN:1879-2456
DOI:10.1016/j.wasman.2016.10.044