Prediction of household and commercial BMW generation according to socio-economic and other factors for the Dublin region

DC FieldValueLanguage
dc.contributor.authorPurcell, M.-
dc.contributor.authorMagette, W. L.-
dc.date.accessioned2011-08-10T10:49:28Z-
dc.date.available2011-08-10T10:49:28Z-
dc.date.copyright2008 Elsevier Ltd. All rights reserved.en
dc.date.issued2009-04-
dc.identifier.citationWaste Managementen
dc.identifier.issn0956-053X-
dc.identifier.urihttp://hdl.handle.net/10197/3078-
dc.description.abstractBoth planning and design of integrated municipal solid waste management systems require accurate prediction of waste generation. This research predicted the quantity and distribution of biodegradable municipal waste (BMW) generation within a diverse 'landscape' of residential areas, as well as from a variety of commercial establishments (restaurants, hotels, hospitals, etc.) in the Dublin (Ireland) region. Socio-economic variables, housing types, and the sizes and main activities of commercial establishments were hypothesized as the key determinants contributing to the spatial variability of BMW generation. A geographical information system (GIS) 'model' of BMW generation was created using ArcMap, a component of ArcGIS 9. Statistical data including socio-economic status and household size were mapped on an electoral district basis. Historical research and data from the scientific literature were used to assign BMW generation rates to residential and commercial establishments. These predictions were combined to give overall BMW estimates for the region, which can aid waste planning and policy decisions. This technique will also aid the design of future waste management strategies as a function of demographic changes and development. By changing the input data, this estimation tool can be adapted for use in other locations.en
dc.description.sponsorshipOther funderen
dc.format.extent944306 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherElsevieren
dc.relation.requiresArchitecture, Landscape & Civil Engineering Research Collectionen
dc.relation.requiresCritical Infrastructure Group Research Collectionen
dc.relation.requiresUrban Institute Ireland Research Collectionen
dc.rightsThis is the author’s version of a work that was accepted for publication in Waste Management. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Waste Management Volume 29, Issue 4, April 2009, Pages 1237-1250 DOI: 10.1016/j.wasman.2008.10.011en
dc.subjectBMWen
dc.subjectDublinen
dc.subjectSolid waste managementen
dc.subjectWaste predictionen
dc.subjectHousehold wasteen
dc.subjectCommercial wasteen
dc.subject.lcshOrganic wastes--Ireland--Dublinen
dc.subject.lcshIntegrated solid waste management--Ireland--Dublinen
dc.subject.lcshOrganic wastes--Geographic information systemsen
dc.titlePrediction of household and commercial BMW generation according to socio-economic and other factors for the Dublin regionen
dc.typeJournal Articleen
dc.internal.availabilityFull text availableen
dc.internal.webversionshttp://dx.doi.org/10.1016/j.wasman.2008.10.011-
dc.statusPeer revieweden
dc.identifier.volume29en
dc.identifier.issue4en
dc.identifier.startpage1237en
dc.identifier.endpage1250en
dc.identifier.doi10.1016/j.wasman.2008.10.011-
dc.neeo.contributorPurcell|M.|aut|-
dc.neeo.contributorMagette|W. L.|aut|-
dc.description.othersponsorshipEnvironmental Protection Agencyen
dc.description.othersponsorshipNational Development Planen
item.grantfulltextopen-
item.fulltextWith Fulltext-
Appears in Collections:Centre for Water Resources Research Collection
Urban Institute Ireland Research Collection
Critical Infrastructure Group Research Collection
Civil Engineering Research Collection
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This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.