A Determination of Urban Attractiveness Based on Global Power City Index Using Fuzzy Clustering Analysis

In this paper, it is aimed to classify 44 global cities from 29 countries in different geographies of the world in terms of the economy, research and development, cultural interaction, livability, environment and accessibility indicators used in calculating the Global Power City Index. In the study using the fuzzy clustering analysis method, which is one of the multivariate statistical methods, firstly, the Silhouette Index, the Normalized Dunn Coefficient and the Normalized Kaufman Coefficient were calculated for each number of clusters (2, 3, 4, ...) and it was determined that the most appropriate cluster number is 4. Then, it was questioned statistically whether the averages of the variables used in the analysis differ significantly from each other. According to the findings, it has been observed that global cities are classified in clusters with different characteristics in terms of used index indicators.

Keywords: Global Power City Index, Cities, Fuzzy Clustering Analysis

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A Determination of Urban Attractiveness Based on Global Power City Index Using Fuzzy Clustering Analysis

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