GIS-based modelling for the estimation of municipal solid waste generation and collection

Karadimas, NV; Loumos, VG

dc.contributor.author	Karadimas, NV	en
dc.contributor.author	Loumos, VG	en
dc.date.accessioned	2014-03-01T01:28:30Z
dc.date.available	2014-03-01T01:28:30Z
dc.date.issued	2008	en
dc.identifier.issn	0734-242X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18865
dc.subject	Geographical information system	en
dc.subject	Modelling	en
dc.subject	Municipal solid waste generation	en
dc.subject	Routing	en
dc.subject	Waste bins allocation	en
dc.subject	Waste bins location	en
dc.subject	Waste collection	en
dc.subject	wmr 1112-1	en
dc.subject.classification	Engineering, Environmental	en
dc.subject.classification	Environmental Sciences	en
dc.subject.other	Bins	en
dc.subject.other	Estimation	en
dc.subject.other	Geographic information systems	en
dc.subject.other	Insulating materials	en
dc.subject.other	Modal analysis	en
dc.subject.other	Population statistics	en
dc.subject.other	Research	en
dc.subject.other	Routing algorithms	en
dc.subject.other	Solid wastes	en
dc.subject.other	Accurate estimation	en
dc.subject.other	Dominant factors	en
dc.subject.other	Environmental factors	en
dc.subject.other	Geo-database	en
dc.subject.other	Geographical information system	en
dc.subject.other	Ground-based analysis	en
dc.subject.other	Modelling	en
dc.subject.other	Municipal Solid Waste	en
dc.subject.other	Municipal solid waste generation	en
dc.subject.other	Optimal number	en
dc.subject.other	Population densities	en
dc.subject.other	Research works	en
dc.subject.other	Routing	en
dc.subject.other	Solid waste management	en
dc.subject.other	Waste bins	en
dc.subject.other	Waste bins allocation	en
dc.subject.other	Waste bins location	en
dc.subject.other	Waste collection	en
dc.subject.other	Waste generation	en
dc.subject.other	wmr 1112-1	en
dc.subject.other	Waste management	en
dc.subject.other	GIS	en
dc.subject.other	modeling	en
dc.subject.other	municipal solid waste	en
dc.subject.other	resource allocation	en
dc.subject.other	waste management	en
dc.subject.other	algorithm	en
dc.subject.other	article	en
dc.subject.other	commercial phenomena	en
dc.subject.other	economic aspect	en
dc.subject.other	environmental factor	en
dc.subject.other	factual database	en
dc.subject.other	geographic information system	en
dc.subject.other	methodology	en
dc.subject.other	municipal solid waste	en
dc.subject.other	population density	en
dc.subject.other	priority journal	en
dc.subject.other	residential home	en
dc.subject.other	resource management	en
dc.subject.other	social aspect	en
dc.subject.other	solid waste management	en
dc.subject.other	traffic and transport	en
dc.subject.other	Algorithms	en
dc.subject.other	Cities	en
dc.subject.other	Garbage	en
dc.subject.other	Geographic Information Systems	en
dc.subject.other	Humans	en
dc.subject.other	Models, Theoretical	en
dc.subject.other	Refuse Disposal	en
dc.subject.other	Transportation	en
dc.subject.other	Waste Management	en
dc.title	GIS-based modelling for the estimation of municipal solid waste generation and collection	en
heal.type	journalArticle	en
heal.identifier.primary	10.1177/0734242X07081484	en
heal.identifier.secondary	http://dx.doi.org/10.1177/0734242X07081484	en
heal.language	English	en
heal.publicationDate	2008	en
heal.abstract	In the present paper, an innovative model for the estimation of municipal solid waste generation and collection is proposed. This model is part of an extended solid waste management system and uses a spatial Geodatabase, integrated in a GIS environment. It takes into consideration several parameters of waste generation, such as population density, commercial activities, road characteristics and their influence on the location and allocation of waste bins. Ground-based analysis was applied for the estimation of the inter-relations between the aforementioned factors and the variations in waste generation between residential and commercial areas. Therefore, the proposed model follows a unified categorization approach for residential and commercial activities and focuses on the dominant factors that determine waste generation in the area under study. The most important result of the research work presented in the current paper is an accurate estimation of the optimal number of waste bins and their allocation. A new methodology and an appropriate algorithm have been developed for this purpose in order to facilitate routing and waste collection. By using these results, municipalities aware of social, economical and environmental factors, related to waste management, can achieve optimal usage of their resources and offer the best possible services to their citizens. © 2008 SAGE Publications.	en
heal.publisher	SAGE PUBLICATIONS LTD	en
heal.journalName	Waste Management and Research	en
dc.identifier.doi	10.1177/0734242X07081484	en
dc.identifier.isi	ISI:000258676100004	en
dc.identifier.volume	26	en
dc.identifier.issue	4	en
dc.identifier.spage	337	en
dc.identifier.epage	346	en