GIS-based multi-criteria decision analysis for parking site selection

Derya Ozturk, Fatmagul Kılıç-Gul

Abstract


Site selection is one of the strategic decision in spatial planning and requires the consideration of many factors. Integration of Geographic Information Systems (GIS) and Multi-criteria Decision Analysis (MCDA) is very important to solve complex spatial decision problems such as site selection. In this study, integration of GIS and the Ordered Weighted Averaging (OWA) method, which is one of the most widely used MCDA methods in spatial decision problems, was used to analyze a “parking site selection” problem in Atakum (Samsun, Turkey). A GIS-OWA tool was developed in ArcGIS 9.2 via ArcObjects/VBA and a decision analysis for parking site selection was performed. Because the OWA method is based on parameters with mainly fuzzy quantifiers, by changing these parameters, a broad decision strategy set could be formed. Different scenarios provided a flexible approach for problem solution and the result obtained for δ =1 was compared with the present and planned parking sites. Comparison results showed that present and planned parking sites in the urban plan do not meet the parking needs.

Keywords: multi-criteria decision analysis, ordered-weighted averaging, geographic information system, parking site selection, GIS-OWA


Keywords


multi-criteria decision analysis; ordered-weighted averaging; geographic information system; parking site selection; GIS-OWA

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