Abstract
Abstract. The population of cities is increasing rapidly nowadays, and therefore, rational use of urban resources is required. With developing technology, the amount of data obtained from different sources also increases. This situation sometimes causes complex geographic decision problems in cities where many factors must be evaluated simultaneously. Difficulties in this decision-making process can be overcome by using Multi-Criteria Decision Analysis (MCDA) techniques. In this study, how the different MCDA techniques can be used in geographic-based problems and the most commonly used methods were examined in this context. The case applications on the adaptation of GIS-based MCDA techniques in smart cities were examined and explained. All of the examined case applications were carried out in the Pendik district of Istanbul. The subjects of the investigated case applications are, respectively, the evaluation of land suitability for determining urban development areas, producing a land value map for the management of the urban real estate, parking areas selection for sustainable urban transportation planning, and prioritizing suitable/alternative car parking areas. This study provides an effective implementation methodology for the hybrid use of GIS-based MCDA techniques within the scope of sustainable urban land management practices in smart cities.
Highlights
Multi-Criteria Decision Analysis (MCDA) is a set of systematic procedures for analysing complex decision problems
There are many MCDA techniques in literature and are more widely used today. Some of these techniques are as follows (Cinelli et al, 2014; Huang et al, 2011; Nyimbili and Erden, 2020): Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE), VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), Weighted Linear Combination (WLC), Fuzzy Logic, Ordered Weighted Averaging (OWA), Evaluation Based on Distance from Average Solution (EDAS), COmplex PRoportional ASsessment (COPRAS), Combinative Distance-based ASsessment (CODAS), Simple Multi-Attribute Rating Technique (SMART), Multi-Attribute Utility Theory (MAUT), and CRiteria Importance Through Intercriteria Correlation (CRITIC), DEcision MAking Trial and Evaluation Laboratory (DEMATEL) and Entropy Technique
Many MCDA techniques mentioned have been used in practice, in this study AHP, Fuzzy AHP (FAHP), TOPSIS, VIKOR, and Fuzzy Logic techniques were examined as decision support mechanisms in smart cities with Geography Information Systems (GIS) technologies
Summary
Multi-Criteria Decision Analysis (MCDA) is a set of systematic procedures for analysing complex decision problems. There are many MCDA techniques in literature and are more widely used today Some of these techniques are as follows (Cinelli et al, 2014; Huang et al, 2011; Nyimbili and Erden, 2020): Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE), VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), Weighted Linear Combination (WLC), Fuzzy Logic, Ordered Weighted Averaging (OWA), Evaluation Based on Distance from Average Solution (EDAS), COmplex PRoportional ASsessment (COPRAS), Combinative Distance-based ASsessment (CODAS), Simple Multi-Attribute Rating Technique (SMART), Multi-Attribute Utility Theory (MAUT), and CRiteria Importance Through Intercriteria Correlation (CRITIC), DEcision MAking Trial and Evaluation Laboratory (DEMATEL) and Entropy Technique.
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