An Evaluation model for Turkish cities in the context of smart city

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2017

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Adıgüzel, Mete

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Researches indicate that urbanization rate has increased day by day, from 34% in 1960 up to 54% in 2015, and is expected to reach 66% in 2050. This means that not only urban areas, but the world will also be confronted with big problems, such as traffic congestions, bad air quality, depletion of resources, and so on. In order to solve these problems, traditional solutions will be inadequate if they are not integrated with smart solutions. The term smart city has emerged in the last few decades in order to integrate these solutions. City managers encouraged by technology firms have latterly introduced their cities as smart cities. Correspondingly, most of the studies concerning smart cities have quite recently concentrated on the evaluation and ranking process of smartness of the cities in order to show the performance of smart cities. Unfortunately, Turkish cities have not yet been included in these evaluations effectively. This research aims to evaluate Turkish cities with regard to their smartness by certain factors and indicators that have been derived through careful analyses of earlier studies. Eventually, it is intended to develop some starting points concerning certain policies in order to navigate smartness processes of cities. In accordance with this purpose, characteristics, factors, and indicators of smart cities have been particularly adapted for Turkish cities. In the light of these, four multi-criteria decision analysis methods (MCDA) have been chosen including, GRA, TOPSIS, SAW, and PROMETHEE, as the most suitable methods for the study. According to the results, thematic maps have been created using ArcGIS 10.2 software in order to observe and evaluate smartness of Turkish cities on the map. Finally, Spearman’s correlation test is used to define relationships between methods and choose the most significant one. Although the final scores show that Istanbul and Ankara are undoubtedly the smartest cities in Turkey, defining the least smart cities has proven to be a difficult task.

Subject Keywords

Urbanization., City planning., Cities and towns., Cities and towns

URI

http://etd.lib.metu.edu.tr/upload/12621001/index.pdf
https://hdl.handle.net/11511/26484

Collections

Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

M. Adıgüzel, “An Evaluation model for Turkish cities in the context of smart city,” M.S. - Master of Science, Middle East Technical University, 2017.