Importance–performance analysis of municipal solid waste management in uncertainty

Tseng, Ming‐Lang

doi:10.1007/s10661-010-1325-7

Cited by 50 publications

(18 citation statements)

References 35 publications

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“…With specific reference to the object of our study, in the literature, a wide range of MCDA applications and waste management plants exists, where it is possible to find different techniques, including Analytic Hierarchy Process (Dey and Ramcharan, ), PROMETHEE (Khalil et al ., ; Queiruga et al ., ), ELECTRE (Hokkanen and Salminen, ; Norese, ), Analytic Network Process (Khan and Faisal, ; Tuzkaya et al ., ; Aragonés‐Beltrán et al ., ; Tseng, ; Bottero and Ferretti, ) and GIS and Fuzzy MCDA (Chang et al ., ). Other models consider the whole life cycle of products, by means of life cycle analysis, with the aim of making a comprehensive assessment of the municipal solid waste management strategies environmental impacts systems (Barton et al ., ; McDougall et al ., ).…”

Section: Applicationmentioning

confidence: 99%

Addressing the Location of Undesirable Facilities through the Dominance‐based Rough Set Approach

Abastante

Bottero

Greco

et al. 2013

Multi Criteria Decision Anal

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The location problems of the so-called undesirable facilities such as waste incinerators or landfills presents two main characteristics: (i) social opposition and (ii) a huge number of social, economic and environmental data that have to be taken into account. In this sense, the decision problem can be seen as an intrinsically complex problem because it involves different interconnected elements and must achieve objectives that are often in conflict.The work proposes the use of the theory of the dominance-based rough set approach (DRSA). The DRSA is a development of the rough sets philosophy which concerns the possibility of extending this theory to multiple criteria decision analysis by providing the model with preference-ordered aspects of the problem.This article presents an argument for the use of DRSA in decisions-aiding processes concerning urban and territorial projects. Mention has to be made to the fact that there are very few applications of DRSA to real case studies, and in particular, there is no application concerning the localization of undesirable facilities. Given the very delicate nature of the problem, where the contrasts are not only theoretical but also concrete, it is essential to 'test' the various methods of decision support before using them in real contexts. In this article, we argue that a simulation phase should reclaim responsibility for reliability and validity by implementing verification and self-correcting strategies during the development of the application itself.In particular, the paper presents an application to a real-world problem, concerning the choice of the location for a waste incinerator in the Province of Turin (Italy). In the application, different sites are analysed and compared through the use of the DRSA on the basis of different attributes, such as presence of population, hydrogeological risk, landscape value, interferences on transport infrastructures.

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Section: Applicationmentioning

confidence: 99%

Addressing the Location of Undesirable Facilities through the Dominance‐based Rough Set Approach

Abastante

Bottero

Greco

et al. 2013

Multi Criteria Decision Anal

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“…Dey and Ramcharan, ) and to its generalization as the ANP (e.g. Khan and Faisal, ; Aragonés‐Beltrán et al , ; Tseng, ; Bottero and Ferretti, ).…”

Section: Municipal Solid Waste Management and Decision Support Systemmentioning

confidence: 99%

A Multicriteria Spatial Decision Support System Development for Siting a Landfill in the Province of Torino (Italy)

Ferretti

2011

J. Multi-Crit. Decis. Anal.

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The present paper proposes a spatial multicriteria approach for supporting Decision-Makers in the siting process of a Municipal Solid Waste landfill in the Province of Torino (Italy).In particular, the contribution illustrates the development of a Multicriteria-Spatial Decision Support System based on the integration of Geographic Information Systems and a specific Multicriteria Decision Analysis technique, named Analytic Network Process (ANP). This technique, which represents the generalization of the more well-known Analytic Hierarchy Process to dependences and feedbacks, is particularly suitable for dealing with complex decision problems which are characterized by inter-relationships among the elements at stake.The application allows the dependence relationships among the criteria to be assessed, and the relative importance of all the elements that play an influence on the final choice to be evaluated.The purpose of the study is to generate a suitability map of the area under analysis for locating a waste landfill, paying particular attention to the contribution that the spatial ANP offers to sustainability assessments of undesirable facilities. To this end, the simple network structure has been used and both exclusionary and non-exclusionary criteria have been identified and grouped into clusters.The results are obtained in the form of suitability maps analysed through ILWIS 3.3 software (52North, ITC, Enschede, The Netherlands) and have been further verified through a sensitivity analysis with reference to the clusters priorities in order to test the robustness of the proposed model.The main findings of this research have proved that the spatial ANP is a useful tool to help technicians to make their decision process traceable and reliable. Moreover, this approach helps Decision-Makers to undertake a sound reflection of the siting problem.Finally, the implementation of the spatial ANP technique gives an originality value to the present research because it represents one of the first applications at both the national and international level.

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“…These models consider the full range of waste streams to be managed and view the available waste management practices as a menu of options from which to select the preferred solution on the basis of site‐specific environmental and economic considerations. Many MCA models are available to address MSWM problems, including Analytic Hierarchy Process (AHP) (Dey and Ramcharan, 2008), PROMETHEE (Khalil et al ., 2004; Queiruga et al ., 2008), ELECTRE (Hokkanen and Salminen, 1997; Norese, 2006), ANP (Aragonés‐Beltràn et al ., 2010; Khan and Faisal, 2008; Tseng, 2010; Tuzkaya et al ., 2007), GIS and fuzzy MCA (Chang et al ., 2008).…”

Section: Municipal Solid Waste Management (Mswm) and Decision Suppmentioning

confidence: 99%

An analytic network process‐based approach for location problems: the case of a new waste incinerator plant in the Province of Torino (Italy)

Bottero

Ferretti

2010

Multi Criteria Decision Anal

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Starting from the topicality of the issues related to the location of undesirable facilities and on the basis of a brief review of the types of models that are currently being used in the Municipal Solid Waste Management context, the present paper proposes a multicriteria approach that is able to support decision makers in the choice of the best location for a waste incinerator plant in the Province of Torino (Italy). Three alternative sites have been compared through the use of the Analytic Network Process (ANP) method. The application allows the dependence relationships among the aspects and criteria to be assessed and the relative importance of all the elements that play an influence on the final choice to be elicitated.The decision-making process was developed through the identification of 31 environmental and socio-economic indicators that were grouped into clusters and organized in four subnetworks according to the Benefits, Opportunities, Costs and Risks (BOCR) model in order to compare the three alternatives by means of a holistic approach and to better highlight the tradeoffs between the aspects involved in the decision.The aim of this work is to analyse the contribution that the ANP technique offers in sustainability assessment of undesirable facilities, paying particular attention to the use of quantitative indicators in the evaluation process.The strengths and weaknesses of the ANP approach, combined with the use of measurable and verifiable indicators, are also discussed and three different sensitivity analyses have been performed in order to test the robustness of the proposed model and the stability of the results, exploring also rank reversal thresholds.The main findings of the present work have proved that the use of quantitative indicators as nodes of the ANP-BOCR structure significantly improves the internal coherence of the model and makes the decision process more traceable and reliable.

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Importance–performance analysis of municipal solid waste management in uncertainty

Cited by 50 publications

References 35 publications

Addressing the Location of Undesirable Facilities through the Dominance‐based Rough Set Approach

Addressing the Location of Undesirable Facilities through the Dominance‐based Rough Set Approach

A Multicriteria Spatial Decision Support System Development for Siting a Landfill in the Province of Torino (Italy)

An analytic network process‐based approach for location problems: the case of a new waste incinerator plant in the Province of Torino (Italy)

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