Spatial modelling of municipal waste generation: Deriving property lot estimates with limited data

Madden, B; Florin, N; Mohr, S; Giurco, D

Spatial modelling of municipal waste generation: Deriving property lot estimates with limited data

Madden, B

Florin, N Mohr, S Giurco, D

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Resources, Conservation and Recycling, 2021, 168
Issue Date:: 2021-01-15

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Field	Value	Language
dc.contributor.author	Madden, B https://orcid.org/0000-0001-9167-8535
dc.contributor.author	Florin, N
dc.contributor.author	Mohr, S
dc.contributor.author	Giurco, D
dc.date.accessioned	2021-01-29T04:31:19Z
dc.date.available	2021-01-29T04:31:19Z
dc.date.issued	2021-01-15
dc.identifier.citation	Resources, Conservation and Recycling, 2021, 168
dc.identifier.issn	0921-3449
dc.identifier.uri	http://hdl.handle.net/10453/145655
dc.description.abstract	Given recent circular economy policy and waste minimisation targets, there is a significant opportunity to fundamentally change the way waste is managed in Australia, and re-focus waste management to promote resource recovery and efficiency. Detailed data on household waste generation can assist decision makers in targeting waste minimisation incentives, improving resource recovery and circularity, identifying specific technology and infrastructure gaps and informing future development. Unfortunately, high-resolution spatial estimates of waste generation at the property lot scale is typically unavailable. This study presents a novel spatial model developed to estimate waste generation data at the property lot level. Utilising census data at multiple spatial scales and council waste generation data, we apply our model to estimate quantities of residual waste, dry recyclables and garden waste generated for more than 1,200,000 property lots in the Sydney metropolitan area, Australia. Results show the spatial distribution of estimated household waste generation, achieving a high degree of accuracy when compared to validation data. To illustrate the application of our results in the context of identifying ideal areas for waste processing facilities, we analyse the spatial distribution of available garden waste arising from property lots. An area of intense garden waste generation was identified, indicating a supply area of approximately 13km2 in northern Sydney that can support a facility of approximately 20,000t throughput a year. Our analytical approach presented is novel, and has practical application for locating waste processing facilities; analysing efficient kerbside waste collection services; and in informing data driven urban waste management strategies.
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Resources, Conservation and Recycling
dc.relation.isbasedon	10.1016/j.resconrec.2021.105442
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	05 Environmental Sciences, 09 Engineering, 12 Built Environment and Design
dc.subject.classification	Environmental Sciences
dc.title	Spatial modelling of municipal waste generation: Deriving property lot estimates with limited data
dc.type	Journal Article
utslib.citation.volume	168
utslib.for	05 Environmental Sciences
utslib.for	09 Engineering
utslib.for	12 Built Environment and Design
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Institute For Sustainable Futures
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2021-01-29T04:31:10Z
pubs.publication-status	Published online
pubs.volume	168

Abstract:

Given recent circular economy policy and waste minimisation targets, there is a significant opportunity to fundamentally change the way waste is managed in Australia, and re-focus waste management to promote resource recovery and efficiency. Detailed data on household waste generation can assist decision makers in targeting waste minimisation incentives, improving resource recovery and circularity, identifying specific technology and infrastructure gaps and informing future development. Unfortunately, high-resolution spatial estimates of waste generation at the property lot scale is typically unavailable. This study presents a novel spatial model developed to estimate waste generation data at the property lot level. Utilising census data at multiple spatial scales and council waste generation data, we apply our model to estimate quantities of residual waste, dry recyclables and garden waste generated for more than 1,200,000 property lots in the Sydney metropolitan area, Australia. Results show the spatial distribution of estimated household waste generation, achieving a high degree of accuracy when compared to validation data. To illustrate the application of our results in the context of identifying ideal areas for waste processing facilities, we analyse the spatial distribution of available garden waste arising from property lots. An area of intense garden waste generation was identified, indicating a supply area of approximately 13km2 in northern Sydney that can support a facility of approximately 20,000t throughput a year. Our analytical approach presented is novel, and has practical application for locating waste processing facilities; analysing efficient kerbside waste collection services; and in informing data driven urban waste management strategies.

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http://hdl.handle.net/10453/145655