Integrated sustainability assessments: a spatial multicriteria evaluation for siting a waste incinerator plant in the Province of Torino (Italy)

Ferretti, Valentina; Pomarico, Silvia

doi:10.1007/s10668-012-9354-8

Cited by 38 publications

(8 citation statements)

References 56 publications

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“…A basic requisite for a meaningful use of indicators and indices is the possibility to aggregate and make them comparable (Bohringer and Jochem, 2007). As a matter applications are still rare (Banai, 2005;Ferretti and Pomarico, 2012;Lopez and Monzon, 2010;Manos et al, 2010;Ottomano Palmisano et al, 2016a,b). The present work describes a new integrated tool suitable for strategic and sustainable planning: GeoUmbriaSUIT.…”

Section: Introductionmentioning

confidence: 99%

Spatial multicriteria analysis for sustainability assessment: A new model for decision making

et al. 2018

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A B S T R A C TPolicy makers have to consider the sustainability perspective in strategic planning decisions. Identifyand measure the level of sustainability, through its three dimensions, is a priority. Therefore, the aim of this work is to present a new model, called GeoUmbriaSUIT, integrating Multicriteria Analysis and Geographic Information Systems, specifically developed for helping Decision Makers to take policy decisions about sustainability in planning. The model provides outputs which are easy to be understood by not experts; the evaluation path is traceable and transparent, thanks to back analysis.To better explain the potentiality of GeoUmbriaSUIT and its functioning, a case study about Malta is described. Our results showed that in four regions of Malta the best dimension was the environmental one, while only for two regions (Northern Harbour and Southern Harbour) respectively the economic and social dimensions obtained the best scores. The integration of MCDA-GIS resulted to be a useful tool for sustainability assessment.

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Section: Introductionmentioning

confidence: 99%

Spatial multicriteria analysis for sustainability assessment: A new model for decision making

et al. 2018

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“…The method has been used in a broad range of application domains. The most popular areas of application include: agriculture and fisheries (Tseng et al 2001;Hill et al 2005;Hood et al 2006;Rahmarv and Saha 2008;Nekhay et al 2009;Chen et al 2010;Feizizadeh and Blaschke 2013), transportation (Banai 1998;Klungboonkrong and Taylor 1998;Sadeghi-Niaraki and Kim 2009), waste management (Banai 1993;Gemitzi et al 2007;Sumathi et al 2008;Ferretti and Pomarico 2012), and geomorphology (Komac 2006;Neaupane and Piantanakulchai 2006).…”

Section: Analytic Network Processmentioning

confidence: 99%

Multiattribute Decision Analysis Methods

Malczewski

Rinner

2015

Advances in Geographic Information Science

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Although a large number of multiattribute decision analysis (MADA) methods is available (Hwang and Yoon 1981), the theoretical and applied research about GIS-MADA has focused on a relatively small number of multiattribute procedures including: the weighted linear combination, ideal point methods, the analytic hierarchy process/analytic network process, and outranking methods (see Sect. 3.3.2). These four methods are discussed in this Chapter. We introduce the conventional MADA methods and discuss their extensions to the spatially explicit models (see Sect. 1.4). The chapter also provides a brief overview of GIS-based applications for each of the four methods.

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“…Multi-criteria analysis (MCA) with GIS has advantages in that it supports decision-making processes in a systematic way and provides a transparent reflection of this decision through the use of thematic maps (Ferretti and Pomarico 2013). This multi-disciplinary approach has diverse applications in spatial analysis for land use (Hassan and Nazem 2016, Hossain et al 2009, Ferretti and Pomarico 2012 and has been identified as a powerful integrated method for use in complex land use scenarios (Saleh et al 2015). Furthermore, LSAs have been conducted that emphasize the needs of different crops, aquaculture, ecotourism, landfill site selection and wind and solar power plants over different periods of time (Chandio et al 2013).…”

Section: Introductionmentioning

confidence: 99%

GIS-based multi-criteria analysis modeling used to locate suitable sites for industries in suburban areas in Bangladesh to ensure the sustainability of agricultural lands

2017

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Land use changes significantly affect the sustainability of food security, environmental quality and the ecological balance in developing countries. Bangladesh is one such country, and it faces challenges caused by its limited resources of arable land. The urbanization of agricultural lands and urban developments in suburban areas add to these challenges. Therefore, the aim of this study is to characterize the land use changes that occur over time in suburban areas that have potential for industrial growth. This study also assesses potential locations for industrial development by using land suitability analysis (LSA) to emphasize both agricultural and industrial development in terms of sustainable growth. A geographical information system (GIS)-based multi-criteria analysis (MCA) model is developed for the LSA to distinguish compact parcels that are suitable for industrial economic zones. Nine criteria, including seven constraints and 23 factors, are evaluated using the spatial analysis tools in ArcGISÒ . An analytical hierarchy process (AHP) is applied to prioritize these criteria based on experts opinion for the decision-making process of LSA. This study finds that the construction of densely clustered industrial areas has decreased the area of agricultural land by more than 10% in the last two decades. Furthermore, the results of the LSA show that only 4% of the land was highly suitable for industrial sites. On the other hand, four compact parcels that contain 16-10 ha of land and suitable for small industrial zones exist within the study area. Thus, the integrated GIS-MCA model can serve as a policy and planning tool for locating industrial economic zones while preserving agricultural lands and retaining environmental protections.& Tofael Ahamed

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Integrated sustainability assessments: a spatial multicriteria evaluation for siting a waste incinerator plant in the Province of Torino (Italy)

Cited by 38 publications

References 56 publications

Spatial multicriteria analysis for sustainability assessment: A new model for decision making

Spatial multicriteria analysis for sustainability assessment: A new model for decision making

Multiattribute Decision Analysis Methods

GIS-based multi-criteria analysis modeling used to locate suitable sites for industries in suburban areas in Bangladesh to ensure the sustainability of agricultural lands

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