Determining the components of physical resilience in the residential texture of Bojnourd City using Moran’ s I spatial autocorrelation

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ABDALI YAGHOB; Rajaei Syeed Abbas

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Journal: Journal of Urban Research and Planning Year:2020 | Volume:10 | Issue:39 Page(s): 13-16

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Information Journal Paper

Title

Determining the components of physical resilience in the residential texture of Bojnourd City using Moran’ s I spatial autocorrelation

Author(s)

ABDALI YAGHOB | Rajaei Syeed Abbas | Issue Writer Certificate

Keywords

ResilienceQ1

physicalQ1

residentialQ1

ALMQ1

BojnourdQ1

Abstract

Today, cities and residential societies are mainly established where they are subject to different types of natural disasters or are subject to different man-made disasters due to technological advancements. Hence, one of the most important requirements is addressing the physical issues of urban residential textures and the concept of Resilience and consequently, retrofitting these textures in case of possible incidents and hazards. The currently studied domain was the residential texture of Bojnourd County with a total population of 233810, with 34557 residential buildings and a total area of 7859902 m2. This study is an applied research in terms of objective and in terms of methodology, it is a descriptive-analytical research based on physical-structural approaches. In order to obtain the objectives of this research, selected indices such as the structural skeleton, materials, the number of floors, gradation, building age, and the quality of buildings were extracted. In order to determine the trends of the patterns, the regression tool was used. Also, for weighting of the layers in the spatial data, the spatial autocorrelation tool of Weights Manager, available in Geoda software, is utilized. Moran’ s I tool is used for determining the type of physical Resilience distribution (clustered, random, and sparse). Furthermore, Anselin Local Morans spatial autocorrelation tool in ArcGIS software was used for studying the spatial distribution of the residential texture Resilience prioritization. The spatial results in the current study shows that 2235783 m2 i. e. 28. 45% of the total area including 10187 residential blocks are in the relatively low to very low Resilience range and 3513732 m2 i. e. 44. 70 of the total area including 15269 residential blocks are in the medium Resilience range which require immediate planning. Finally, based on the findings of this research and within the framework of the six selected components, suggestions are made on the physical Resilience of the residential texture of Bojnourd County.

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APA: Copy

ABDALI, YAGHOB, & Rajaei, Syeed Abbas. (2020). Determining the components of physical resilience in the residential texture of Bojnourd City using Moran’ s I spatial autocorrelation. RESEARCH AND URBAN PLANNING, 10(39 ), 13-16. SID. https://sid.ir/paper/371283/en

Vancouver: Copy

ABDALI YAGHOB, Rajaei Syeed Abbas. Determining the components of physical resilience in the residential texture of Bojnourd City using Moran’ s I spatial autocorrelation. RESEARCH AND URBAN PLANNING[Internet]. 2020;10(39 ):13-16. Available from: https://sid.ir/paper/371283/en

IEEE: Copy

YAGHOB ABDALI, and Syeed Abbas Rajaei, “Determining the components of physical resilience in the residential texture of Bojnourd City using Moran’ s I spatial autocorrelation,” RESEARCH AND URBAN PLANNING, vol. 10, no. 39 , pp. 13–16, 2020, [Online]. Available: https://sid.ir/paper/371283/en

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