Space Analysis of the Urban smart Growth Criteria (Case Study: the Uremia City’s four Regions)

Esmaeili, Ahmad (2016) Space Analysis of the Urban smart Growth Criteria (Case Study: the Uremia City’s four Regions). Masters thesis, university of Mohaghegh Ardabili.

Text (تحلیل فضایی شاخص¬های رشد هوشمند شهری(مطالعه موردی: مناطق چهارگانه شهر ارومیه)) Ahmad Esmaeili.pdf Download (495kB)

Abstract

cities sprawl caused several problems for world’s countries in recent years. These problems not only had been affected on the recent urban planning aspects but also had significant effect on another issues such as social, cultural, economical and environmental problems. In the light of these problems resolving, many measures and thoughts presented by experts and urban planners that the most important of these measures is smart growth approach that is considered one of the most important and new sustainable urban planning perspective . Purpose of this research is evaluation of urban smart growth criteria in the city of Uremia based on three general dimensions of socio-economical, physical (infrastructure) and environmental-availability dimensions with municipal regions separation. For this purpose, analysis of network process model (ANP) for criteria weighting and GIS software for regions leveling and then the electre’s model for ranking and integrated analyzing of intended dimensions and finally diffuse coefficient model for the determination of criteria diffusion amount was used. The obtained results is showing that ordering of Uremia city’s four region with regard to having urban smart growth criteria and components and based on electre’s model is following: the region one placed in first rank ( possessed) with achieving score (3), the region four and three in second rank (semi- possessed)with score (1), the region tow in third rank (deprived)with score (-2) in the environmental-availability dimension in the electre’s model, and the region one placed in first rank with achieving score (3), the region three and four in second rank with score (-1,0) respectively and the region tow in third rank with score (-2) in the physical (infrastructure) dimension and but the region one and region three placed in first rank with achieving score (1,2), the region four in second rank with score (0) and finally the region tow in third rank with score (-3) in the socio-economical dimension. And finally by integrating the research three selected dimension; the region one placed in first rank with score(1) and the region three and four in second place with score(0) and finally the region tow in third place with the score (-2). And so obtained results from criteria diffuse coefficient is showing that the more imbalances are pertaining to environmental-availability criteria and after physical (infrastructure) criteria. But social-economical criteria have been distributed in almost the balanced way. With regard to obtained results from this research, different regions’ possession amount wasn’t identical in light of research selected criteria related to urban smart growth criteria. Taking into consideration obtained result, attention to urban smart growth in the uremia city’s four regions is unavoidable issue.

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