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<Article>
<Journal>
				<PublisherName>Owner &amp; Primary Publisher: University of Tehran;</PublisherName>
				<JournalTitle>Journal of Rural Research</JournalTitle>
				<Issn>2008-7373</Issn>
				<Volume>13</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>08</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Assessment of Rural Deteriorated Textures Using Environmental Quality Components (Case Study: The Tehran Metropolitan Fringe)</ArticleTitle>
<VernacularTitle>Assessment of Rural Deteriorated Textures Using Environmental Quality Components (Case Study: The Tehran Metropolitan Fringe)</VernacularTitle>
			<FirstPage>262</FirstPage>
			<LastPage>283</LastPage>
			<ELocationID EIdType="pii">87665</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrur.2022.327869.1659</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Leyla</FirstName>
					<LastName>Dayyani</LastName>
<Affiliation>PhD, Department of Geography and Rural Planning, Faculty of Humanities, Tarbiat Modares University, Tehran, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2021</Year>
					<Month>07</Month>
					<Day>27</Day>
				</PubDate>
			</History>
		<Abstract>The purpose of this study is to introduce and apply the new and efficient CODAS method to priori-tize and assess rural deteriorated textures based on the main criteria of environmental quality. The research method of this article is descriptive-applied and the style of data collection is library and field data collection, where using a questionnaire, objective data from 260 rural households and 15 local managers on the Tehran metropolitan fringe, and subjective data from 15 scientific experts were collected, described and analyzed. The results of the present study based on six main compo-nents of environmental quality (in order of importance including tolerance capacity/risk reduction, vitality and belonging, environmental health, access and diversity of services, security and human scale on foot, permeability) and fifteen villages show that the village of Yahar, compared to other villages, had more unfavorable conditions in terms of environmental quality using the CODAS method. Then, respectively, the villages of Kabirabad, Mashhad Firoozkooh, Hasanabad Baqraf, HesarKouchak, Quinak Rakhshani, Atashan, Jafarabad Baqraf, Mazdaran, Zavareh Bid, Vastar, Hesarmehtar, Ramin, Qala Boland, and Salehabad Sharqi are located. Also in this research, CODAS has been evaluated as a suitable and very accurate method for prioritizing deteriorated rural settle-ments based on the main components of environmental quality.</Abstract>
			<OtherAbstract Language="FA">The purpose of this study is to introduce and apply the new and efficient CODAS method to priori-tize and assess rural deteriorated textures based on the main criteria of environmental quality. The research method of this article is descriptive-applied and the style of data collection is library and field data collection, where using a questionnaire, objective data from 260 rural households and 15 local managers on the Tehran metropolitan fringe, and subjective data from 15 scientific experts were collected, described and analyzed. The results of the present study based on six main compo-nents of environmental quality (in order of importance including tolerance capacity/risk reduction, vitality and belonging, environmental health, access and diversity of services, security and human scale on foot, permeability) and fifteen villages show that the village of Yahar, compared to other villages, had more unfavorable conditions in terms of environmental quality using the CODAS method. Then, respectively, the villages of Kabirabad, Mashhad Firoozkooh, Hasanabad Baqraf, HesarKouchak, Quinak Rakhshani, Atashan, Jafarabad Baqraf, Mazdaran, Zavareh Bid, Vastar, Hesarmehtar, Ramin, Qala Boland, and Salehabad Sharqi are located. Also in this research, CODAS has been evaluated as a suitable and very accurate method for prioritizing deteriorated rural settle-ments based on the main components of environmental quality.</OtherAbstract>
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			<Object Type="keyword">
			<Param Name="value">Environmental quality</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Deteriorated textures</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Rural</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">CODAS Method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Tehran</Param>
			</Object>
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<ArchiveCopySource DocType="pdf">https://jrur.ut.ac.ir/article_87665_eac0ba188714df3a660cf9aea8632b57.pdf</ArchiveCopySource>
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