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Volume 32, Issue 4 (2018)
GeoRes 2018, 32(4): 188-209 |
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Received: 2017/07/3 | Accepted: 2017/10/14 | Published: 2018/03/17
Received: 2017/07/3 | Accepted: 2017/10/14 | Published: 2018/03/17
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Aftab A, Nazmfar H, Ghafarigilandeh A, Mousavi M. Planning and Formulating Solutions for the Realization of Creative Cities in Iran (Case Study: Urmia City). GeoRes 2018; 32 (4) :188-209
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1- Department of Geography and Urban planning, University of Mohaghegh Ardabili, Ardabil, Iran
2- Department of Geography and Urban Planning, University of Urmia, West Azerbaijan, Iran
2- Department of Geography and Urban Planning, University of Urmia, West Azerbaijan, Iran
Abstract (5560 Views)
The aim of this research is planning and formulating solutions for the realization of creative cities in Iran with emphasis on Urmia city. This is an analytical-descriptive, correlation research and for data analysis the model of network analysis, TOPSIS and for the relationship between the variables inferential statistics tests such as correlation coefficient, multivariable regression and path analysis were used. Statistical population consists of the five regions in Urmia and the factors of the study include 10 main criteria with 16 sub-criteria that were selected based on a thorough examination of external and internal sources. The results of the ANP model show that the criteria of creativity infrastructure and creative class were of the highest importance with a score of 0.39 and 0.094 respectively, and criteria of urban scale and social diversity were of the lowest importance with a score of 0.122 and 0.023 respectively in moving the city of Urmia toward being a creative city. Examining the status of the indicators of creativity and how they are distributed and ranked shows that region one with the TOPSIS 0.9781 is in the first place and region two with the TOPSIS 0.0097 had the last rank regarding level of creativity between the regions of Urmia. The results show that there is a positive and significant correlation between 10 variables and urban creativity in the five regions of Urmia. Meanwhile, region one has the highest correlation with 0.496, and the above ten variables are capable of explaining 37.8% of variance variations (The situation of urban creativity in the Urmia). The results of the path analysis are that criteria for creativity infrastructure and creative class with the rate of 0.501 and 0.490 have the most impact on the realization of the Urumia creative city. As a result, solutions such as development of elite recruitment centers, maintaining creative class, using Urumia’s social diversity, investing and developing technology infrastructures have the greatest impact for the city of Urmia on the path to becoming a creative city.
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