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<Article>
<Journal>
				<PublisherName>University of Isfahan</PublisherName>
				<JournalTitle>Spatial Planning</JournalTitle>
				<Issn>2228-7485</Issn>
				<Volume>8</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2018</Year>
					<Month>08</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Spatial Analysis of Physical Resilience Components of Urban attrited/beaten tissues against Earthquakes (Case Study: District 10 of Tehran Municipality)</ArticleTitle>
<VernacularTitle>Spatial Analysis of Physical Resilience Components of Urban attrited/beaten tissues against Earthquakes (Case Study: District 10 of Tehran Municipality)</VernacularTitle>
			<FirstPage>111</FirstPage>
			<LastPage>130</LastPage>
			<ELocationID EIdType="pii">22850</ELocationID>
			
<ELocationID EIdType="doi">10.22108/sppl.2018.109941.1178</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Ahmad</FirstName>
					<LastName>PourAhmad</LastName>
<Affiliation>Professor of Geography and Urban Planning, University of Tehran, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Keramatollah</FirstName>
					<LastName>Ziyari</LastName>
<Affiliation>Professor of Geography and Urban Planning, University of Tehran, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Alireza</FirstName>
					<LastName>Sadeghi</LastName>
<Affiliation>Master&amp;#039;s degree in Geography and Urban Planning, University of Tehran, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2018</Year>
					<Month>02</Month>
					<Day>27</Day>
				</PubDate>
			</History>
		<Abstract>One of the most important requirements, is to address the physical problems of residential tissues in cities and to explain the concept of their resilience and, consequently, resistance in the face of possible accidents and risks. The present study area covers District 10 of Tehran municipality, including 3 districts and 10 neighborhoods. This research is an applied research in its goal, with a descriptive-analytical methodology, and based on the approach of physicalstructural studies. In order to achieve the research objectives, selected indicators, such as building structure, materials, age and the quality of the building materials, were extracted. In order to explore the trend of patterns, we used the regression tool; and in order to weigh the layers in spatial data, we benefited the spatial self-correlation method of the Weights Manager tool, in the Geoda software. The Moran&#039;s (I) tool also was used to determine the type of physical resilience distribution. Also, to investigate the spatial distribution of residential housing resilience prioritization, the Anselin (Anselin Local Morans) spatial self-correlation method has been used in ArcGIS software. The locational spatial results of this study indicate that the resilience status of central, western and southeastern parts of the district 10, is low to very low, compared to the its northern part. So, the priority of planning for the physical structure resiliency of the district 10 of Tehran municipality, are respectively the western, central and southeastern parts.</Abstract>
			<OtherAbstract Language="FA">One of the most important requirements, is to address the physical problems of residential tissues in cities and to explain the concept of their resilience and, consequently, resistance in the face of possible accidents and risks. The present study area covers District 10 of Tehran municipality, including 3 districts and 10 neighborhoods. This research is an applied research in its goal, with a descriptive-analytical methodology, and based on the approach of physicalstructural studies. In order to achieve the research objectives, selected indicators, such as building structure, materials, age and the quality of the building materials, were extracted. In order to explore the trend of patterns, we used the regression tool; and in order to weigh the layers in spatial data, we benefited the spatial self-correlation method of the Weights Manager tool, in the Geoda software. The Moran&#039;s (I) tool also was used to determine the type of physical resilience distribution. Also, to investigate the spatial distribution of residential housing resilience prioritization, the Anselin (Anselin Local Morans) spatial self-correlation method has been used in ArcGIS software. The locational spatial results of this study indicate that the resilience status of central, western and southeastern parts of the district 10, is low to very low, compared to the its northern part. So, the priority of planning for the physical structure resiliency of the district 10 of Tehran municipality, are respectively the western, central and southeastern parts.</OtherAbstract>
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			<Object Type="keyword">
			<Param Name="value">Spatial Analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">physical Resilience</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">self-correlation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">District 10 of Tehran Municipality</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://sppl.ui.ac.ir/article_22850_307873aa4e3a297f4d042f8c4df76cee.pdf</ArchiveCopySource>
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