2005
DOI: 10.2166/wst.2005.0408
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GIS supported solid waste management in coastal areas

Abstract: Planning of solid waste management (SWM) facilities in terrestrial as well as coastal areas addresses several situations, and requires considering numerous factors. This leads to large amounts of data and information that must be organized and analyzed. However, in many SWM systems, all of the relevant information cannot be managed properly due to insufficiencies in methods/tools and/or resources. To assist the solid waste decision making process, GIS-based decision support systems can be applied to deal with … Show more

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Cited by 23 publications
(7 citation statements)
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“…The major GIS map Fig. 1 Location map of the study area analyses functions are buffer zoning, neighboring computation, cost distance, and overlay analysis, frequently used for landfill siting (Sarptaş et al 2005). In order to find the most suitable area for landfill siting, GIS can be integrated with AHP.…”
Section: Introductionmentioning
confidence: 99%
“…The major GIS map Fig. 1 Location map of the study area analyses functions are buffer zoning, neighboring computation, cost distance, and overlay analysis, frequently used for landfill siting (Sarptaş et al 2005). In order to find the most suitable area for landfill siting, GIS can be integrated with AHP.…”
Section: Introductionmentioning
confidence: 99%
“…IDRISI was chosen due to its widespread application within the field of GIS‐MCDA (e.g. Akgun and Bulut 2007, Ceballos‐Silva and López‐Blanco 2003, Sarptas et al. 2005), its cheaper cost compared to many other packages, and its high ease of use, all of which make it an attractive option for those working with a limited budget.…”
Section: Methodsmentioning
confidence: 99%
“…[5]- [7]. Information on geographic locations of municipal solid waste collection/dump sites (MSWCS) can help decision-making in MSWM, including collection route planning, dumps cleanup, and future siting of collection sites in order to enhance quality of water resources.…”
Section: Introductionmentioning
confidence: 99%