Volume 26, Issue 80 (3-2026)
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mahmoodpour I, hataminejad H, Farhoodi R, Tavakolinia J. (2026). Identification and analysis of key factors affecting urban livability with an emphasis on the studied environment: District 11 of Tehran Metropolis. jgs. 26(80),
URL: http://jgs.khu.ac.ir/article-1-4197-en.html
URL: http://jgs.khu.ac.ir/article-1-4197-en.html
1- tehran University, iraj_mahmoodpour1@yahoo.com
2- tehran University, hataminejad@ut.ac.ir ,hataminejad@ut.ac.ir
3- tehran University, rfarhudi@ut.ac.ir
4- tehran University, jaytavakoli@yahoo.com
2- tehran University, hataminejad@ut.ac.ir ,
3- tehran University, rfarhudi@ut.ac.ir
4- tehran University, jaytavakoli@yahoo.com
Abstract: (6805 Views)
It has a complex and multi -dimensional conceptual life and guarantees the performance of the ecosystem from the smallest unit to the surface of the Earth, or in other words from local levels to world levels, and its patterns are quite different from one region to region. In this regard, in the past three decades, in addition to the human impacts, the use of harmful resources and industries, the vulgarity of the ozone, the greenhouse, the greenhouse and the effects of the phenomena, and the phenomena of the city, Various environmental and environmental and remedies have been increased, which has increased melods to zero. For this purpose, in this study, it has been attempted to identify and analyze the key propellers affecting biodiversity by emphasizing the environmental indicators in Tehran's 11 metropolitan area. In this study, with the technique of environmental and Delphi dynamics, 57 primary factors were extracted in eleven different areas and then, using the Delphi method of managers, the matrix of the components of the components was formed. Next, the matrix analysis has been analyzed through the Michemac software. The results of the distribution of variables on the axis of influence and influence of the factors in the Micmac software indicate the system's instability within the scope of the study, and therefore five categories of variables were identified. Finally, due to the high direct and indirect effect of factors, seven key factors were identified as key factors in the field of biodiversity, with emphasis on the environmental indices of the region. Among the preferences under consideration, the variables of public transport status (speed, accuracy, confidence, security, security, convenience, economic affordability) and public access to the green space had the highest impact on the biodiversity in the study area.
Type of Study: Research |
Subject:
Geography and Urban Planning
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