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Monitoring household waste recycling centres performance using mean bin weight analyses

Monitoring household waste recycling centres performance using mean bin weight analyses
Monitoring household waste recycling centres performance using mean bin weight analyses
This paper describes a modelling approach used to investigate the significance of key factors (vehicle type, compaction type, site design, temporal effects) in influencing the variability in observed nett amenity bin weights produced by household waste recycling centres (HWRCs). This new method can help to quickly identify sites that are producing significantly lighter bins, enabling detailed back-end analyses to be efficiently targeted and best practice in HWRC operation identified. Tested on weigh ticket data from nine HWRCs across West Sussex, UK, the model suggests that compaction technique, vehicle type, month and site design explained 76% of the variability in the observed nett amenity weights. For each factor, a weighting coefficient was calculated to generate a predicted nett weight for each bin transaction and three sites were subsequently identified as having similar characteristics but returned significantly different mean nett bin weights.

Waste and site audits were then conducted at the three sites to try and determine the possible sources of the remaining variability. Significant differences were identified in the proportions of contained waste (bagged), wood, and dry recyclables entering the amenity waste stream, particularly at one site where significantly less contaminated waste and dry recyclables were observed.

0956-053X
614-620
Maynard, Sarah
a6cb202f-0090-4095-9c62-a5abe1469c26
Cherrett, Tom
e5929951-e97c-4720-96a8-3e586f2d5f95
Waterson, Ben
60a59616-54f7-4c31-920d-975583953286
Maynard, Sarah
a6cb202f-0090-4095-9c62-a5abe1469c26
Cherrett, Tom
e5929951-e97c-4720-96a8-3e586f2d5f95
Waterson, Ben
60a59616-54f7-4c31-920d-975583953286

Maynard, Sarah, Cherrett, Tom and Waterson, Ben (2009) Monitoring household waste recycling centres performance using mean bin weight analyses. Waste Management, 29 (2), 614-620. (doi:10.1016/j.wasman.2008.05.006).

Record type: Article

Abstract

This paper describes a modelling approach used to investigate the significance of key factors (vehicle type, compaction type, site design, temporal effects) in influencing the variability in observed nett amenity bin weights produced by household waste recycling centres (HWRCs). This new method can help to quickly identify sites that are producing significantly lighter bins, enabling detailed back-end analyses to be efficiently targeted and best practice in HWRC operation identified. Tested on weigh ticket data from nine HWRCs across West Sussex, UK, the model suggests that compaction technique, vehicle type, month and site design explained 76% of the variability in the observed nett amenity weights. For each factor, a weighting coefficient was calculated to generate a predicted nett weight for each bin transaction and three sites were subsequently identified as having similar characteristics but returned significantly different mean nett bin weights.

Waste and site audits were then conducted at the three sites to try and determine the possible sources of the remaining variability. Significant differences were identified in the proportions of contained waste (bagged), wood, and dry recyclables entering the amenity waste stream, particularly at one site where significantly less contaminated waste and dry recyclables were observed.

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More information

Published date: 2009

Identifiers

Local EPrints ID: 75541
URI: http://eprints.soton.ac.uk/id/eprint/75541
ISSN: 0956-053X
PURE UUID: 7cecd056-aeb3-484a-98f2-ea75146357bc
ORCID for Ben Waterson: ORCID iD orcid.org/0000-0001-9817-7119

Catalogue record

Date deposited: 11 Mar 2010
Last modified: 20 Jul 2019 01:12

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