Analyzing the Urban Network Morphology through Balancing of Space Approach: A Case Study of the Urban Network of Hormozgan Province
2019
Moshfeghi, Vahid | Jafari, Yahya | Alizadeh, Hadi
Balancing the Spatial structure and determining the future urban network are the fundamental missions of spatial planning. As the main organizing elements of space, cities are organized within the urban network form. Urban network is assessed based on the agreement between form and function dimensions. The effectiveness of various models can be investigated through an analysis of their relationships. Accordingly, the study at hand has been carried out to analyze the urban morphology in order to accord the morphological and functional dimensions of Hormozgan province urban network. The study is applied in terms of purpose and descriptive-analytical in terms of methodology. The analytic indices of the study for Hormozgan province urban network morphology include road network, the distance between settlements, urban population, and types of services. The analytic instrument for the attainment of the purpose of the study is the Inward Distance Weighted (IDW) model within ARC GIS 10-4 software. The obtained results show that Hormozgan province urban network morphology follows four patterns, namely mono-centric, polycentric, linear and isolated. The location of these patterns in the province indicates the relationship between the location and the network morphology. As the large cities of the province are located near the sea, the mono-centric and polycentric patterns have been formed under the influence of the sea factor. However, the isolated and linear patterns are located in both the islands of the province and the mountainous areas or intermountain plateaus. Ultimately, the study shows that the lack of agreement between the form and the function weakens the connection and interaction of the interconnected areas. This lack of agreement reduces the fulfillment of the urban network’s use of neighboring opportunities and decreases the network effectiveness.
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