Grid-Based Heuristic Method for Multifactor Landfill Siting

Lin, Hung Yueh; Kao, Jehng‐Jung

doi:10.1061/(asce)0887-3801(2005)19:4(369)

Cited by 37 publications

(12 citation statements)

References 10 publications

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“…Three factors are thus adopted when evaluating the appropriateness of a MSW collection-districting plan. Similar to previous studies, 13,14 individual values for these factors for all geographical units of a subregion are accumulated to evaluate the suitability of a subregion districting.…”

Section: Discussionmentioning

confidence: 99%

Subregion Districting Analysis for Municipal Solid Waste Collection Privatization

Lin

Kao

2008

Journal of the Air & Waste Management Association

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Privatization of municipal solid waste (MSW) collection can improve service quality and reduce cost. To reduce the risk of an incapable company serving an entire collection area and to establish a competitive market, a large collection area should be divided into two or more subregions, with each subregion served by a different company. The MSW subregion districting is generally done manually, based on the planner's intuition. Major drawbacks of a manual approach include the creation of a districting plan with poor road network integrity for which it is difficult to design an efficient collection route. The other drawbacks are difficulty in finding the optimal districting plan and the lack of a way to consistently measure the differences among subregions to avoid unfair competition. To determine an MSW collection subregion districting plan, this study presents a mixed-integer optimization model that incorporates factors such as compactness, road network integrity, collection cost, and regional proximity. Two cases are presented to demonstrate the applicability of the proposed model. In both cases, districting plans with good road network integrity and regional proximity have been generated successfully.

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Section: Discussionmentioning

confidence: 99%

Subregion Districting Analysis for Municipal Solid Waste Collection Privatization

Lin

Kao

2008

Journal of the Air & Waste Management Association

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“…2.2.3). In addition, there have been several GIS-MADA studies involving the mixed-integer mathematical programming models (e.g., Lin and Kao 2005;Wu and Murray 2005;Eiselt 2007;. A vast majority of the GIS-MADA approaches have been used for tackling talking discrete spatial decision problems (e.g., .…”

Section: Mcda Components Of Gis-mcdamentioning

confidence: 99%

Multicriteria Decision Analysis in Geographic Information Science

Malczewski

Rinner

2015

Advances in Geographic Information Science

565

374

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“…A buffer zone of 500 m from such sites was used (a weighting of 10 if a historic site or within 500 m of one, out of a maximum weight of 10 if of ecological importance; Lin and Kao 2005). The Konya-Cumra region also houses the historical places including Catalhoyuk and Pinarbasi.…”

Section: Distance From Archeological Sitesmentioning

confidence: 99%

“…Social and political opposition to landfill siting have been indicated as the greatest obstacle for successfully locating waste disposal facilities (Lober 1995). The "not in my backyard" (NIMBY) and "not in anyone's backyard" (NIABY) phenomena (Chang et al 2008;Kao and Lin 1996;Erkut and Moran 1991;Kontos et al 2003;Lin and Kao 2005) are becoming popular nowadays creating a tremendous pressure on the decision makers involved in the selection of a landfill site.…”

Section: Introductionmentioning

confidence: 99%

Selection of MSW landfill site for Konya, Turkey using GIS and multi-criteria evaluation

Nas

Çay

Iscan

et al. 2009

Environ Monit Assess

258

146

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Landfill is a common solution for the final disposal of municipal solid waste (MSW) in Turkey. Landfill siting is an extremely difficult task to accomplish because the site selection process depends on different factors and regulations. To ensure that an appropriate site is chosen, a systematic process should be developed and followed. Unsuccessful landfill siting is typically the result of strong public opposition. In this study, candidate sites for an appropriate landfill area in Cumra County of Konya City are determined by using the integration of geographic information systems (GIS) and multi-criteria evaluation (MCE). ArcGIS 9.0 software and its extensions were used as the GIS tool since it is able to perform suitability analysis using MCE analysis. To identify appropriate landfill areas in the Cumra district, eight input map layers including proximity to municipal and local wells and irrigational canals, distance from transportation routes and rails, distance from archaeological sites, distance from urban areas, land use/land cover, and land slope are used in constraint mapping. A final map was generated which identifies regions showing suitability for the location of the landfill site. According to the map, 6.8% of the study area is most suitable, 15.7% is suitable, 10.4% is moderately suitable, 25.8% is poorly suitable, and 41.3% is unsuitable. At the end of the analyses, three candidate sites are determined. The selection of the final MSW landfill site, however, requires further field research.

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Grid-Based Heuristic Method for Multifactor Landfill Siting

Cited by 37 publications

References 10 publications

Subregion Districting Analysis for Municipal Solid Waste Collection Privatization

Subregion Districting Analysis for Municipal Solid Waste Collection Privatization

Multicriteria Decision Analysis in Geographic Information Science

Selection of MSW landfill site for Konya, Turkey using GIS and multi-criteria evaluation

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