1
PhD. Student of Environmental Planning, Faculty of Environment, University of Tehran
2
Associate Professor, Department of Environmental Planning, Faculty of Environment, University of Tehran
Abstract
Connectivity is one of the most important characteristics of urban green network and its necessary to enhance efficiency of landscape and biodiversity. Hence, urban green space designers need a tool to analyze and optimize the connectivity of green networks. Concepts of graph theory can be used to simulate and analyze of green networks and develop a plan prepared for improving efficiency and biodiversity. In this paper, potential corridors were determined for connecting the main green patches of district 1 of Tehran using shortest path analysis. Then, using network analysis and principles existed in graph theory and gravity model, an optimized plan was developed for urban green space network of this area. Results indicated that network analysis provided high efficiency in modeling, analyzing and optimizing of the urban green space network. Therefore, in order to cover the deficiencies in urban green space development plans, an appropriate method for increasing network continuity and enhancing the efficiency green space was presented.
Ramezani Mehrian,M and Faryadi,S . (2014). Urban Green Space Network Development Using Landscape Ecology Principles and Graph Theory (Case Study: Region 1 Tehran, Iran). (e97255). Advanced Environmental Sciences, 12(2), e97255
MLA
Ramezani Mehrian,M , and Faryadi,S . "Urban Green Space Network Development Using Landscape Ecology Principles and Graph Theory (Case Study: Region 1 Tehran, Iran)" .e97255 , Advanced Environmental Sciences, 12, 2, 2014, e97255.
HARVARD
Ramezani Mehrian M, Faryadi S. (2014). 'Urban Green Space Network Development Using Landscape Ecology Principles and Graph Theory (Case Study: Region 1 Tehran, Iran)', Advanced Environmental Sciences, 12(2), e97255.
CHICAGO
M Ramezani Mehrian and S Faryadi, "Urban Green Space Network Development Using Landscape Ecology Principles and Graph Theory (Case Study: Region 1 Tehran, Iran)," Advanced Environmental Sciences, 12 2 (2014): e97255,
VANCOUVER
Ramezani Mehrian M, Faryadi S. Urban Green Space Network Development Using Landscape Ecology Principles and Graph Theory (Case Study: Region 1 Tehran, Iran). Adv Env Sci. 2014;12(2):e97255 (In Persian).
