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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Journal of Urban Ecology Researches</JournalTitle>
				<Issn>2538-3930</Issn>
				<Volume>8</Volume>
				<Issue>16</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>09</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>The Trend Analysis Period From 2006 to 2011 Zanjan Urban Green Space
 and Present an Optimal Location</ArticleTitle>
<VernacularTitle>The Trend Analysis Period From 2006 to 2011 Zanjan Urban Green Space
 and Present an Optimal Location</VernacularTitle>
			<FirstPage>101</FirstPage>
			<LastPage>118</LastPage>
			<ELocationID EIdType="pii">3906</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Nafiseh</FirstName>
					<LastName>Marsousi</LastName>
<Affiliation>Associate Professor of Geography Department, Payame noor University</Affiliation>

</Author>
<Author>
					<FirstName>Saleh</FirstName>
					<LastName>Rashvand</LastName>
<Affiliation>2. MA in Geography and Urban Planning, Payame noor University, South Tehran Branch</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>05</Month>
					<Day>05</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span&gt;The main objective of this study was to analyze the periodical changes of urban green space in Zanjan and its optimal location. The research method is descriptive-analytic, and in terms of type, this study is practical. The procedure of qualitative and quantitative changes has calculated based on LCM Model and binary comparison. Hierarchical analysis model in GIS software environment was used to weight the criteria of urban green space location. The results showed that the &lt;/span&gt;&lt;span class=&quot;shorttext&quot;&gt;&lt;span lang=&quot;EN&quot;&gt;green space per &lt;/span&gt;&lt;/span&gt;&lt;span class=&quot;shorttext&quot;&gt;&lt;span lang=&quot;EN&quot;&gt;capita&lt;/span&gt;&lt;/span&gt;&lt;span&gt;of the city has reduced from 34.64 square meters in 2006 to 12.46 square meters in 2011. In addition, in 2006, the most qualitative and quantitative changes in favor&lt;/span&gt;&lt;span&gt; of areas lacking green space was 69.91 percent which was increased in 2011 to 80.69 percent. During 2006 to 2011, the &lt;/span&gt;&lt;span class=&quot;alt-edited&quot;&gt;&lt;span lang=&quot;EN&quot;&gt;maximum incremental area&lt;/span&gt;&lt;/span&gt;&lt;span&gt;lacking green space has been approximately 250 hectares and the &lt;/span&gt;&lt;span lang=&quot;EN&quot;&gt;largest reduction area with low green space&lt;/span&gt;&lt;span&gt;has been approximately 250 hectares. During this period, the increases in construction and reducing overflow crowd to this area have been the reasons of green space reduction. From the total area of 2250 hectares, 356 hectares which was 15% of the total space, the situation is quite compatible to green space expansion. &lt;/span&gt;&lt;span class=&quot;alt-edited&quot;&gt;&lt;span lang=&quot;EN&quot;&gt;Due to the reduction of green space per capita compared to other land uses, it is necessary to take into account &lt;/span&gt;&lt;/span&gt;&lt;span lang=&quot;EN&quot;&gt;arrangements and preventive actions to reduce the excessive use of green space in urban planning.&lt;/span&gt; &lt;br /&gt;&lt;span lang=&quot;EN&quot;&gt; &lt;/span&gt;</Abstract>
			<OtherAbstract Language="FA">&lt;span&gt;The main objective of this study was to analyze the periodical changes of urban green space in Zanjan and its optimal location. The research method is descriptive-analytic, and in terms of type, this study is practical. The procedure of qualitative and quantitative changes has calculated based on LCM Model and binary comparison. Hierarchical analysis model in GIS software environment was used to weight the criteria of urban green space location. The results showed that the &lt;/span&gt;&lt;span class=&quot;shorttext&quot;&gt;&lt;span lang=&quot;EN&quot;&gt;green space per &lt;/span&gt;&lt;/span&gt;&lt;span class=&quot;shorttext&quot;&gt;&lt;span lang=&quot;EN&quot;&gt;capita&lt;/span&gt;&lt;/span&gt;&lt;span&gt;of the city has reduced from 34.64 square meters in 2006 to 12.46 square meters in 2011. In addition, in 2006, the most qualitative and quantitative changes in favor&lt;/span&gt;&lt;span&gt; of areas lacking green space was 69.91 percent which was increased in 2011 to 80.69 percent. During 2006 to 2011, the &lt;/span&gt;&lt;span class=&quot;alt-edited&quot;&gt;&lt;span lang=&quot;EN&quot;&gt;maximum incremental area&lt;/span&gt;&lt;/span&gt;&lt;span&gt;lacking green space has been approximately 250 hectares and the &lt;/span&gt;&lt;span lang=&quot;EN&quot;&gt;largest reduction area with low green space&lt;/span&gt;&lt;span&gt;has been approximately 250 hectares. During this period, the increases in construction and reducing overflow crowd to this area have been the reasons of green space reduction. From the total area of 2250 hectares, 356 hectares which was 15% of the total space, the situation is quite compatible to green space expansion. &lt;/span&gt;&lt;span class=&quot;alt-edited&quot;&gt;&lt;span lang=&quot;EN&quot;&gt;Due to the reduction of green space per capita compared to other land uses, it is necessary to take into account &lt;/span&gt;&lt;/span&gt;&lt;span lang=&quot;EN&quot;&gt;arrangements and preventive actions to reduce the excessive use of green space in urban planning.&lt;/span&gt; &lt;br /&gt;&lt;span lang=&quot;EN&quot;&gt; &lt;/span&gt;</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Urban green space</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Periodic changes</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Location pattern</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Zanjan</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://grup.journals.pnu.ac.ir/article_3906_a93fdbfe279f3ea6e84cafb305a880de.pdf</ArchiveCopySource>
</Article>
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