GIS‐based multicriteria spatial modeling generic framework

Chakhar, Salem; Mousseau, Vincent

doi:10.1080/13658810801949827

Cited by 83 publications

(50 citation statements)

References 32 publications

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“…Outranking methods are a type of MCDA methods that are well suited to land suitability assessment and to deal with spatial decision problems since they: (i) permit to consider qualitative evaluation criteria (in addition to quantitative ones) for which preference intervals ratios have no sense; (ii) permit to consider evaluation criteria with heterogeneous scales such that coding them into one common scale would be very difficult or artificial; (iii) avoid the complete compensation between evaluation criteria; and (iv) require a fewer amount of information from the decision maker [36]. But it is also recognized that these methods are subject to computational limitations with respect to the number of decision alternatives [37].…”

Section: Outranking Methodsmentioning

confidence: 99%

Biogas plants site selection integrating Multicriteria Decision Aid methods and GIS techniques: A case study in a Portuguese region

Silva

Alçada-Almeida

Dias

2014

Biomass and Bioenergy

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This work addresses the problem of determining the most suitable sites for locating biogas plants using dairy manure as feedstock, specifically in the Entre-Douro-e-Minho Region in Portugal. A Multicriteria Spatial Decision Support System is developed to tackle this complex multicriteria decision-making problem, involving constraints and many environmental, economic, safety, and social factors. The approach followed combines the use of a Geographic Information System (GIS) to manage and process spatial information with the flexibility of Multicriteria Decision Aid (MCDA) to assess factual information (e.g., soil type, slope, infrastructures) with more subjective information (e.g., expert opinion). The MCDA method used is ELECTRE TRI, an outranking-type method that yields a classification of the possible alternatives. The results of the performed analysis show that the use of ELECTRE TRI is suitable to address real-world problems of land suitability, leading towards a flexible and integrated assessment.

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Section: Outranking Methodsmentioning

confidence: 99%

Biogas plants site selection integrating Multicriteria Decision Aid methods and GIS techniques: A case study in a Portuguese region

Silva

Alçada-Almeida

Dias

2014

Biomass and Bioenergy

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“…Moreover, some intrinsic methodological characteristics of the different approaches play a crucial role in determining their suitability to be integrated with spatial analysis: (i) alternativebased methods, in which the different options are directly compared against each other, easily reach their computational limits in a spatial context as every pixel of the map becomes an alternative (Chakhar and Mousseau, 2008); (ii) there is a need for coherence between the standardization of the maps and the axiomatic foundations of the methods; (iii) there is a limited availability of built-in MCA methods in GIS software; and (iv) there is a need to avoid the black-box effect, by having simplified elicitation protocols and ensuring the transparency of the model.…”

Section: Challenge 2: What Is the Appropriate Mca Method?mentioning

confidence: 99%

Key challenges and meta-choices in designing and applying multi-criteria spatial decision support systems

Ferretti

Montibeller

2016

Decision Support Systems

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“…There are criticisms regarding the use of raster data (see e.g. Marinoni, 2006), but their use also presents advantages (see Chakhar & Mousseau, 2008), notably through the overlay approach. Our aim was therefore to use a raster data model in order to integrate the relevant criteria and RS for decision making in public safety.…”

Section: Spatial Multi-criteria Evaluationmentioning

confidence: 99%

Multi-Criteria Approach with Spatial Analysis and Remote Sensing for Public Security Planning

Figueiredo¹,

Pereira²,

Mota³

2017

giforum

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Crime prevention requires planning, the identification of critical places, and allocating resources correctly. In order to ensure crime reduction, the participation of security decision makers is necessary in evaluating criteria that influence crime prevention. The decision maker needs to analyse the best actions to control violence, as well as define where these actions should be allocated. This paper suggests a multi-criteria spatial model associated with remote sensing to identify those areas most vulnerable to homicide and consequently in greatest need of public-policy intervention. The model was applied in a Brazilian neighbourhood, taking into account social, economic and demographic factors, as well as satellite images. We conclude that the spatial analysis approach using multiple criteria is a viable option for mapping crime-vulnerable places, since the areas identified as vulnerable have a similar pattern to official maps showing homicide density. The proposed approach presents some methodological advantages: (1) integration of different approaches; (2) consideration of rasters, excluding the need for polygons; (3) consideration of remote sensing, excluding unnecessary areas from the analysis; (4) little effort is required on the part of the decision maker.

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GIS‐based multicriteria spatial modeling generic framework

Cited by 83 publications

References 32 publications

Biogas plants site selection integrating Multicriteria Decision Aid methods and GIS techniques: A case study in a Portuguese region

Biogas plants site selection integrating Multicriteria Decision Aid methods and GIS techniques: A case study in a Portuguese region

Key challenges and meta-choices in designing and applying multi-criteria spatial decision support systems

Multi-Criteria Approach with Spatial Analysis and Remote Sensing for Public Security Planning

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