An integrated approach to the selection of municipal solid waste landfills through GIS, K-Means and multi-criteria decision analysis

Eghtesadifard, Mahmood; Afkhami, Payam; Bazyar, Arash

doi:10.1016/j.envres.2020.109348

Cited by 69 publications

(45 citation statements)

References 17 publications

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“…Dorfeshan and Mousavi [15] exploited the concept of relative preference relation of interval type-2 fuzzy sets and coupled the WASPAS and MABAC methods to solve the aircraft maintenance planning problem. Eghtesadifard et al [16] used a DEMATEL-ANP-WASPAS approach for ranking solid waste landfill sites. Rani and Mishra [45] presented a q-rung orthopair fuzzy WASP AS method to deal with the alternative-fuel technology selection problem in fleet operations.…”

Section: Applications Of the Waspas Methodsmentioning

confidence: 99%

Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade

Šimić

Lazarević

Dobrodolac

2021

Eur. Transp. Res. Rev.

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Background Last-mile delivery (LMD) is becoming more and more demanding due to an increasing number of users and traffic problems in cities. Besides, medical crises (like the COVID-19 outbreak) and air pollution represent additional motives for the transition from traditional to socially and environmentally sustainable LMD mode. An emerging problem for companies in the postal and logistics industry is how to determine the best LMD mode in a multi-criteria setting under uncertainty. Method For the first time, an extension of the Weighted Aggregated Sum Product ASsessment (WASPAS) method under the picture fuzzy environment is presented to solve the LMD mode selection problem. The introduced picture fuzzy set (PFS) based multi-criteria decision-making (MCDM) method can be highly beneficial to managers who are in charge of LMD since it can take into account the neutral/refusal information and efficiently deal with high levels of imprecise, vague, and uncertain information. The comparative analysis with the existing state-of-the-art PFS-based MCDM methods approved the high reliability of the proposed picture fuzzy WASPAS method. Its high robustness and consistency are also confirmed. The presented method can be used to improve LMD in urban areas worldwide. Besides, it can be applied to solve other emerging MCDM problems in an uncertain environment. Findings A real-life case study of Belgrade is presented to fully illustrate the potentials and applicability of the picture fuzzy WASPAS method. The results show that postomates are the best mode for LMD in Belgrade, followed by cargo bicycles, drones, traditional delivery, autonomous vehicles, and tube transport.

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Section: Applications Of the Waspas Methodsmentioning

confidence: 99%

Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade

Šimić

Lazarević

Dobrodolac

2021

Eur. Transp. Res. Rev.

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“…Ciritci and Türk emphasized that since determining the location of the storage facility is a difficult and critical stage, solid waste management is not only an environmental issue and should not be ignored in various socio-cultural and economic issues (Table 2) [24,25].…”

Section: Xxxxmentioning

confidence: 99%

“…Site selection criteria for sanitary landfills[25] The suitable site for waste disposal must be inexpensive as much as possible. 2.…”

mentioning

confidence: 99%

A study on evaluation of site selection in sanitary landfill with regard to urban growth

Karabulut

Derin

Yeşilnacar

et al. 2021

Environmental Research and Technology

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Sanitary landfill is a widely used waste disposal method worldwide due to its safe and economic. The most important issue in this storage method is the process of selecting the landfill. This process is one of the critical issues in the urban planning process due to its enormous impact on the region's economy, ecology, and environmental health. At the same time, it is also a great importance for public health. Urban growth is a phenomenon that is difficult to stop or limit in line with economic dynamics and demographic changes. For this reason, site selection in solid waste sanitary landfill is a great importance in terms of ensuring a sustainable urban future. The site selection in sanitary landfill is made conventionally taking into account environmental, social and economic criteria. In this study, the waste disposal facility, which was built according to the mentioned criteria and still in operation, was evaluated in the context of urban growth. In this context, Landsat TM 1989 satellite image for the determination of urban boundaries of the central settlement area of Sanliurfa before the irrigation of the GAP project, and Sentinel-2 satellite image enrichment to determine the urban development boundaries after irrigation was mapped by Screen digitizing. Its spatial evaluation and mapping were performed utilizing ArcGIS software.

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“…Fuzzy logic formulated fuzzy function for each criterion in GIS [25], it can make up for the theoretical defects of ANP inheriting AHP, such as rank inversion problem, priority derivation method, and comparison scale [26,27]. Eghtesadifard et al (2020) [28] drew on DEMATEL-ANP and triangular fuzzy membership function to superposition 13 evaluation criteria layers to determine the optimal municipal solid waste landfill site. Isalou et al (2013) [29] determined environmental, social, economic, and general acceptance criteria, and ANP and triangular fuzzy membership functions were adopted for site selection.…”

Section: Introductionmentioning

confidence: 99%

“…Further, three density-based clustering methods were used to identify and analyze candidate sites. Compared with the K-Means method, the density-based clustering analysis does not require prior knowledge of the number of clusters to be formed, the shape of the clusters is not limited, and noise points can be identified [28]. In addition, in terms of selecting the optimal site for waste disposal, a variety of MCDM methods have been utilized, including TOPSIS, fuzzy TOPSIS, and PROMETHEE [30].…”

Section: Introductionmentioning

confidence: 99%

Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China)

Liu

Xiao

et al. 2021

IJGI

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The siting of Municipal Solid Waste (MSW) landfills is a complex decision process. Existing siting methods utilize expert scores to determine criteria weights, however, they ignore the uncertainty of data and criterion weights and the efficacy of results. In this study, a coupled fuzzy Multi-Criteria Decision-Making (MCDM) approach was employed to site landfills in Lanzhou, a semi-arid valley basin city in China, to enhance the spatial decision-making process. Primarily, 21 criteria were identified in five groups through the Delphi method at 30 m resolution, then criteria weights were obtained by DEMATEL and ANP, and the optimal fuzzy membership function was determined for each evaluation criterion. Combined with GIS spatial analysis and the clustering algorithm, candidate sites that satisfied the landfill conditions were identified, and the spatial distribution characteristics were analyzed. These sites were subsequently ranked utilizing the MOORA, WASPAS, COPRAS, and TOPSIS methods to verify the reliability of the results by conducting sensitivity analysis. This study is different from the previous research that applied the MCDM approach in that fuzzy MCDM for weighting criteria is more reliable compared to the other common methods.

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An integrated approach to the selection of municipal solid waste landfills through GIS, K-Means and multi-criteria decision analysis

Cited by 69 publications

References 17 publications

Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade

Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade

A study on evaluation of site selection in sanitary landfill with regard to urban growth

Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China)

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