Parking Suitability and Site Selection Analysis Using GIS-Based Multi-Criteria Decision Analysis Techniques: AHP, TOPSIS, and VIKOR – A Case Study of Pendik District (Istanbul)

Authors

DOI:

https://doi.org/10.15320/ICONARP.2025.314

Keywords:

Parking demand, Parking suitability, Site selection, GIS, MCDA

Abstract

Demand for parking areas has increased with the growing population and increasing number of vehicles. Large cities are suffering from a lack of parking areas, which are one of the most significant parts of the modern urban transportation system and traffic management. Locating parking areas has become a major challenge for the urban transport planners, especially in the downtown of metropolises. Geographic Information Systems (GIS) with geographic analysis tools can provide a scientific approach to determine optimum locations for parking areas. In this paper, the essential factors affecting parking site selection were considered and data sets concerning these factors were created by GIS analysis techniques. The Analytical Hierarchy Process (AHP) as a Multiple-Criteria-Decision-Analysis (MCDA) method was applied to derive weights of the selected parameters. To conduct parking demand analysis, the parking suitability map was produced by integrating the GIS with AHP. Then, suitable parking areas were determined in a zoning plan that was based on the highest suitability on the map. Other MCDA techniques including TOPSIS and VIKOR were examined and compared to determine the order of preferences among suitable parking areas. Similar to the traditional AHP method, the same results were obtained in the ranking of parking areas with the other methods. Using GIS with these MCDA techniques appears to be a usable approach for better resource allocation as well as parking site selection.

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Author Biographies

Arif Çağdaş Aydınoğlu, Gebze Technical University

Arif Cağdaş AYDINOĞLU, as a geomatics engineer, worked about developing national geographic data models in UGent-Belgium, ITC-the Netherlands, and TUDelft-the Netherlands during his Ph.D. in Turkey. He managed projects about Turkey National GIS and worked as vice-director of GIS Research Center of Istanbul Technical University (ITU). He completed his post-doc research as a part of INSPIRE project in the European Commission Joint Research Center (JRC) in European Union IPA project and as academic coordinator of Turkey National GIS infrastructure projects. His research interests are GIS, Geographic data management, Geospatial analysis, Geospatial Data Infrastructure (SDI), and Urban GIS for planning. http://arifcagdas.com/en/

Ahmad Shekib Iqbal, Polytechnical University of Kabul

Ahmad Shekib IQBQL is an Assistant Professor in the Department of Geographical Information Systems and Remote Sensing at Kabul Polytechnic University, Kabul, Afghanistan. He obtained his Bachelor’s Degree in Engineering Geodesy Department from Kabul Polytechnic University in 2015. he completed his Master of Science in Geodetic and Geographic Information Technologies at the Faculty of Geomatics Engineering, Gebze Technical University, Turkey, in 2020. His primary research interests encompass Geographical Information Systems (GIS), Remote Sensing, GIS-based Transportation Analysis, and Multi-Criteria Decision Analysis.

Süleyman Şişman, Gebze Technical University

Suleyman ŞİŞMAN, currently works at the Department of Geomatics Engineering, Gebze Technical University, Turkey. He, as a geomatics engineer, completed his M.Sc. study on modelling mass real estate valuation by GIS-based machine learning techniques. He continues his PhD study about machine learning techniques, smart cities, spatial data analysis, sustainable land management, and Geographic Information Systems (GIS). https://www.gtu.edu.tr/personel/352/48293857/display.aspx

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Published

30-06-2025

How to Cite

Aydınoğlu, A. Çağdaş, Iqbal, A. S., & Şişman, S. (2025). Parking Suitability and Site Selection Analysis Using GIS-Based Multi-Criteria Decision Analysis Techniques: AHP, TOPSIS, and VIKOR – A Case Study of Pendik District (Istanbul). ICONARP International Journal of Architecture and Planning, 13(1), 22–50. https://doi.org/10.15320/ICONARP.2025.314

Issue

Vol. 13 No. 1 (2025)

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