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... conceptual idea on which most of GIS-based multicriteria analysis rely is to use the GIS capabilities to prepare an adequate platform for using multicriteria methods [3] (see Figure 2). The GIS-based multicriteria analysis starts with the problem identification, where the capabilities of the GIS are used to define the set of feasible alternatives and the set of criteria. ...
Citations
... Following that, weightings were allocated to each criterion based on their relative significance, and a weightage overlay analysis (WLC) was carried out to determine the most feasible dumpsite that satisfied all of the parameters. The multicriteria decision analysis is a collection of computational approaches and methodologies that allow the comparison of multiple conflicting criteria, according to their degree of suitability, weighting and ranking them, and finally assisting the decision-maker and stakeholders toward a careful choice (Sumathi et al., 2008;Malczewski, 2004;Shekhar & Xiong, 2008). Since the last three decades, integrated methods of GIS and multicriteria decision analysis (MCDA) have attracted the attention of academicians and researchers. ...
Selection of appropriate Solid waste disposal sites always remain a headache for municipal authorities and urban planner due to its environmental and health concern. The Coastal City of Visakhapatnam, also known as Vizag, producing a mass amount of solid waste due to tourism and industrial growth, posing a major threat to waste disposal and management. The present study was based on fourteen influencing criteria as well as seven constrain criteria. Fuzzy Decision-Making Trial and Evaluation Laboratory (Fuzzy-DEMATEL) model were used to accomplish relative weights of criteria for Disposal sites selection. Results show that 12.96% of the study area is highly suitable, 18.45 % is moderately suitable, 20.47% is suitable, 22.87% is less suitable, and 25.24% is unsuitable for dumping sites Selection in Vizag Metropolitan Region. The present methodology would be beneficial for urban planners and local authorities in order to minimize environmental risk and impact on human health.
... List of Figures (Chakhar & Mousseau, 2008) (Chakhar & Mousseau, 2008) Proposed process for the approach of ReviRIS tool (own production) (Chakhar & Mousseau, 2008) (Chakhar & Mousseau, 2008) (Chakhar & Mousseau, 2008) (Chakhar & Mousseau, 2008 ...
... List of Figures (Chakhar & Mousseau, 2008) (Chakhar & Mousseau, 2008) Proposed process for the approach of ReviRIS tool (own production) (Chakhar & Mousseau, 2008) (Chakhar & Mousseau, 2008) (Chakhar & Mousseau, 2008) (Chakhar & Mousseau, 2008 ...
... Proposed process for the approach of ReviRIS tool (own production) (Chakhar & Mousseau, 2008) (Chakhar & Mousseau, 2008) (Chakhar & Mousseau, 2008) (Chakhar & Mousseau, 2008 ...
A report developed within WP3 activities of ReviRIS's project, with the preliminary approach of the structure of the tool.
The report can be found here:
https://haldus.taltech.ee/sites/default/files/2021-07/D3.3_MCDA_model.pdf?_ga=2.198189743.1846490532.1627650471-856411929.1618487302
... Using different soil parameters and chemical parameters, Das and Sudhakar (2014) derived thematic layer from GIS by the integrated MCDM technique and GEO spatial technology for land suitability analysis for pineapple in East Hills, Megalaya, India. For the land use suitability, the combination of GIS capabilities with MCDM techniques provides the decision maker with the support in all stage of decision making, that is, in the intelligence design and choice phases of the decision making process ( Chakhar and Mousseau, 2008). Jayasinghe and Machida (2008) developed an interactive web-based GIS consulting portal with crop-land suitability analysis, which provides information on Tomato and Cabbage cultivation in Sri Lanka. ...
Land suitability study for agriculture is a very important technique in deciding future agricultural cropping pattern, planning and activities. Land suitability analysis is an assessment of an area to determine how proper or appropriate it is for a particular use of the land (such as growing a crop variety) in a particular location. Land suitability tools have been extensively applied to identify better management practices in agricultural areas. Soil and landscape properties are essential in this type of evaluation, fact that makes especially interesting, is the coupling of this type of model with Geographic Information Systems (GIS) and Remote sensing (RS). The integration of RS-GIS, Fuzzy-logic and application of Multi-Criteria Evaluation using Analytical Hierarchy Process (AHP) could provide a superior database and guide map for decision makers considering crop land substitution in order to achieve better agricultural production. A review was carried out for different multicriteria analysis to develop land suitability maps. Fuzzy-logic integrated with Multi-Criteria Evaluation in GIS environment found most suitable for agricultural crops.
... The capacities of GIS are utilized to effectively define the alternative solutions and to identify the relevant criteria. Data overlay procedures are used to reduce the initial set of alternatives and to facilitate their evaluation by MCDM (Chakhar and Mousseau, 2008). Marinoni (2004) used AHP and GIS for land use decision making and proposed a model where AHP was used to derive criteria weights and GIS was used to map the land use assessment results by a weighted summation of GIS raster data sets. ...
Earthquakes occurring in urban areas constitute an important concern for emergency management and rescue services. Emergency service location problems may be formulated in discrete space or by restricting the potential location(s) to a specified finite set of points in continuous space. We propose a Multicriteria Spatial Decision Support System (MC-SDSS) to identify shelters and emergency service locations in urban evacuation planning. The proposed system has emerged as an integration of the Geographical Information Systems (GIS) and the Multiple Criteria Decision Making (MCDM) method of Preference Ranking Organization METHod for Enrichment Evaluation IV (PROMETHEE IV). This system incorporates multiple and often conflicting criteria and Decision Makers’ (DMs’) preferences into a spatial decision model. We consider three standard structural attributes (i.e., durability density, population density, and oldness density) in the form of spatial maps to determine the zones most vulnerable to an earthquake. The information on these spatial maps is then entered into the ArcGIS software to define the relevant scores for each point with regards to the aforementioned attributes. These scores will be used to compute the preference functions in PROMETHEE IV, whose net flow outranking for each alternative will be inputted in ArcGIS to determine the zones that are most vulnerable to an earthquake. The final scores obtained are integrated into a mathematical programming model designed to find the most suitable locations for the construction of emergency service stations. We demonstrate the applicability of the proposed method and the efficacy of the procedures and algorithms in an earthquake emergency service station planning case study in the City of Tehran.
... It refers to the physical and logical connection between the software packages in the system. There are four possible modes of physical integration of GIS and multicriteria analysis tools (Goodchild, 1992; Chakhar and Martel, 2003; Jankowski, 1995; Malczewski, 1999, 2006, 2010; Chakhar and Mousseau, 2008): (i) no integration, (ii) loose integration, (iii) tight integration, and (iv) full integration. The first mode was dominant until the late 80s, when GIS and multicriteria analysis were used independently, without any connection between them. ...
... Here, the multicriteria analysis method is activated directly from the GIS interface as any GIS basic function. The GIS database is extended so as to support both the geographical and descriptive data, on the one hand, and the parameters required for the multicriteria evaluation techniques (Chakhar and Mousseau, 2008) on the other. This approach requires a high level of knowledge of the GIS in question and considerable programming skills. ...
... MC-SDSS can also be classified in terms of the direction of integration . Four categories of approaches can be identified (Malczewski, 2006, 2010; Chakhar and Mousseau, 2008): (i) onedirection integration with GIS as main software, (ii) one-direction integration with MCDA tool as main software, (iii) bi-directional integration, and (iv) dynamic integration. One-direction integration provides a mechanism for importing/exporting information via a single flow that originates either in the GIS or MCDA software. ...
... The " Resolution Routine " component inFigure 4 is the executable version of the resolution algorithm. The GIS and this routine are loosely coupled (see [4][6][25]) and the dialogue between them is handled through " .txt " files. ...
Siting a linear facility such as a highway or a pipeline often requires a preliminary study in which one or several corridors are identified. Here we construct corridors as a collection of adjacent polygons specifying a ‘path’ from origin s to destination t . Formally, we make use of a graph, called the connectivity graph, in which vertices correspond to polygons and edges to adjacent polygons. Within this formal representation, a corridor corresponds to an s to t path in the connectivity graph. The corridors are evaluated on two criteria: (1) a quantitative criterion measuring the length of the corridor, and (2) a qualitative criterion measuring the quality of the corridor with respect to the suitability of crossing its component polygons. We first introduce a three-phase approach based on a coupling between a geographical information system (GIS) and multicriteria evaluation and devoted to handling biobjective corridor siting problems. Then, the proposed approach is validated through an example of a real-world application.
Keywords: GIS, corridor siting, multicriteria evaluation, spatial analysis, multiobjective shortest path
... It is therefore clear that the decision makers in order to address quickly and efficiently all these problems must have an easy-to-use and functional tool at their disposal. Spatial Decision Support Systems are such tools (Armstrong and Densham, 1990; Densham, 1991; Birkin et al, 1996; Κeenan, 2003; Castle and Longley, 2005; Chakhar and Mousseau, 2008). The SDSS are intended to provide the user with an environment through which the analysis of geographic information can be operated in a dynamic and flexible way. ...
... Provide output in a variety of spatial forms, including maps. A typical SDSS contains three generic components: a database management system and geographical database, a model-based management system and model base and a dialogue generation system [10]: ...
... The GIS-based multicriteria analysis starts with the problem identification, where the capabilities of the GIS are used to define the set of feasible alternatives and the set of criteria. Then, the overlay procedures are used to reduce an initially rich set of alternatives into a small number of alternatives which are easily evaluated by using a multicriteria method [10,11]. The most common integrations of GIS with MCDM systems include the integration with expert systems and mathematical models such as linear programming (LP). ...
Mine reclamation is an integral part of the mineral development process. The selection of land use after the mine closure is a difficult decision, which is complicated further because of the variety of parameters that must be taken into account trying to provide the local community with a viable development plan. Conventional methods used for reclamation planning are characterised by the lack of data integration and by time-consuming analysis. In this study, we propose a spatial decision-support system (SDSS) that minimises these problems, as data integration and analysis are offered within one computerised environment. A geographical information system and multi-criteria decision-making methods, based on binary integer linear programming models, have been integrated to select the appropriate land use in different parts of a post-mining area taking into account social, technical, economic, environmental and safety criteria. The proposed SDSS was used for the selection of the optimal landscape reclamation strategy of the Amynteon lignite surface mine located at West Macedonia Lignite Centre, Northern Greece. On the basis of developed mine maps, the model variables are assessed and incorporated into the objective optimisation function. Emphasis is placed on the spatial diversification of the model variables. The application demonstrates that the decision-support system allows the mining company to determine in an efficient way the specific land use (agricultural land, forest, recreational area and industrial zone) that is considered the most suitable for every part of the study area.
... Still, the current software tools provide only a limited map-based decision support for problem structuring. Although some innovative decision support maps were proposed for multiple criteria-based location/allocation analysis (Armstrong et al. 1992, Malczewski 1999b) , maps have been used predominantly as presentation media either to display the results of spatial decision analysis or to inform about the location of decision options. The use of maps as analytical tools in spatial decision analysis has been little explored. ...
... It is recognized that multiple criteria spatial decision making requires simultaneous visualization of criterion and decision spaces (Malczewski 1999b). This type of dualistic view opens up an opportunity to study basic relationships between the data (criterion outcomes) and their spatial patterns (arrangements of decision options in geographical space) providing the basis for understanding the structure of a decision problem. ...
... This type of dualistic view opens up an opportunity to study basic relationships between the data (criterion outcomes) and their spatial patterns (arrangements of decision options in geographical space) providing the basis for understanding the structure of a decision problem. Malczewski (1999b) suggests that the main objective of using maps in multiple criteria spatial decision analysis should be the consideration of geographical locations in the process of exploring tradeoOE s among the decision criteria and the search for best (compromise) solutions to the decision problem. TradeoOE s among two decision criteria can be depicted in a bi-criterion outcome space by means of a scatterplot so that each point on the plot represents the performance of a decision option on the respective two criteria. ...
Spatial decision support is one of the central functions ascribed to Geographical Information Systems (GIS). One of the foci of developing decision support capabilities of GIS has been the integration of maps with multiple criteria decision models. Progress in this area has been slow due to a limited role played by maps as decision support tools. In this paper we present new prototype spatial decision support tools emphasising the role of maps as a source of structure in multiple criteria spatial decision problems. In these tools the role of map goes beyond the mere display of geographic decision space and multicriterion evaluation results. Maps becomes a 'visual index' through which the user orders decision options, assigns priorities to decision criteria, and augments the criterion outcome space by map-derived heuristic knowledge. As the additional means of structuring multicriterion spatial decision problems we present an experimental use of data mining, integrated with dynamic maps and multiple criteria decision models, in order to reduce a problem's dimensionality. We conclude the paper with future research directions emphasising map-based support for group decision making.
... Here attributes play as criteria by which objects (available options) are to be evaluated. Some researchers in the area of multi-criteria decision support suggest using parallel coordinates plot for representation of a decision space [15]. However, they did not try to investigate what transformations of parallel coordinates are necessary or would be helpful for the task of decision making. ...
The paper reports about authors ’ investigation of applicability of a well-known technique of visualization of multivariate data, parallel coordinates plot, to different kinds of tasks. Some new methods of transformation of parallel coordinates plots are suggested. However, the primary aim of the authors is “to link tools to tasks”, i.e. to explicitly define the tasks that can be appropriately supported by this technique and to find what of the possible transformations of parallel coordinates plot are useful for each of the tasks. Keywords Parallel coordinates plot, interactive graphics, linked displays, exploratory data analysis 1.
