Preparing a Model for Integrated Planning and Management of Historical Textures in Order to Regeneration (Case study: Tabriz Metropolis)
The historical texture of cities, due to their historical antiquity and the existence of rare elements and aesthetic values, the continuity of collective memories and components of identity, is an undeniable fact of cities that have a historical background. During the time, these textures have undergone numerous changes and have gradually become deficient and disrupted in various functional, economic, social, physical, communicative, and environmental dimensions. Given the importance of historical textures, the present study seeks to develop applied knowledge in the field of identifying and developing an integrated planning and management model in regeneration the historical textures of Tabriz metropolis. The research method in this study is applied in terms of purpose and descriptive-analytical in nature. Also the statistical population of the study consists of urban managers, academic elites and experts familiar with historical textures issues and the sample size was 383 using Cochran formula, which was reduced to 344 using the modified Cochran formula. So for analyzing research information was used the partial least squares method in the Smart-pls software. The research findings show that the 8 main variables and 38 sub-variables studied explain the effect of integrated planning and management in regeneration historical textures as 91% and only with the loss of 9%. The results also show that the most effective among the components of integrated planning and management in order to regeneration historical textures related to unit and support management, institutional cohesion and integration, integrated organizational structure and systemic perspective, with a score of 0.864, 0.732, 0.551 and 0.447, respectively. On the other hand, the GOF fitness index for measuring the fit of measuring and structural models has been obtained as 0.549, which indicates the general utility of the structural model of the research.
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