Document Type : Article extracted From phd dissertation
Authors
1
MA of Regional Studies, Shahid Beheshti University, Tehran, Iran
2
Professor, Departement of of Geography and Urban Planning, Marand Branch, Islamic Azad University, Marand, Iran
Abstract
In today's era, cities are no longer considered as an independent space from their surroundings, and considering the extensive interactions of cities with surrounding areas and the effect of this process in different dimensions, examining the spatial structure of the urban region is an inevitable necessity. In this regard, the aim of the current research is to examine the issues and problems of Tabriz urban region and to provide solutions for the promotion and development of the studied area. Therefore, the research method in the present study is mixed (quantitative-qualitative) with practical purpose and analytical-exploratory nature, in order to analyze the data, the factor analysis model was used in the SPSS software environment. The statistical population of the research was also formed by managers and city officials, and due to the unknown size of the statistical population, 100 people were determined as the sample size through Cohen's method and non-random sampling. The findings of the research show that the most important issues and problems of Tabriz urban region can be divided into 6 main categories, which include 81.452% of the issues and problems of Tabriz urban region based on the factor analysis model. The factors and issues extracted in order of importance include issues of spatial structure and organization, environmental issues, physical vulnerability, economic issues, communication network, transportation and traffic, and socio-cultural issues, whose special value is 6.915, 3.422, 2/711, 2/091, 1/822 and 1/327 respectively. The results also show that the one-sided and unipolar structure of the region (Tabriz metropolis) has had a significant effect on increasing issues and problems and there is a need to avoid excessive pressure on Tabriz metropolis by emphasizing the balanced spatial distribution of functions.
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