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<Article>
<Journal>
				<PublisherName>University of Isfahan</PublisherName>
				<JournalTitle>Urban Economics</JournalTitle>
				<Issn>2588-4867</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>09</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Meta-Methodological Analysis of Land-Use Planning and Economic Sustainability: Innovative Approaches for Urban Optimization</ArticleTitle>
<VernacularTitle>Meta-Methodological Analysis of Land-Use Planning and Economic Sustainability: Innovative Approaches for Urban Optimization</VernacularTitle>
			<FirstPage>67</FirstPage>
			<LastPage>78</LastPage>
			<ELocationID EIdType="pii">29980</ELocationID>
			
<ELocationID EIdType="doi">10.22108/ue.2025.145645.1323</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Seyede Elahe</FirstName>
					<LastName>Rezvanian</LastName>
<Affiliation>Department of Urban Planning, Faculty of Art and Architecture, Azad University, Mashhad, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Toktam</FirstName>
					<LastName>Hanaee</LastName>
<Affiliation>Department of Urban Planning, Mashhad Branch, Islamic Azad University, Mashhad, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>06</Month>
					<Day>15</Day>
				</PubDate>
			</History>
		<Abstract>This study conducts a meta-methodological analysis of land-use planning and economic sustainability to examine novel approaches to urban optimization. Given the rapid pace of urbanization and the consequences of suboptimal land allocation, the need for systematic methods in land-use planning has become increasingly pressing. Designed as an applied–developmental investigation, the research adopts a meta-methodological approach. The sampling frame comprises all articles indexed in the Web of Science from 2015 to 2024. Initially, 94,338 records were identified; after thematic screening, this number was reduced to 7,718. Using VOSviewer, the corpus was further narrowed to 534 articles, and finally, 28 studies were selected based on scientific criteria. Data were collected through systematic content analysis and coded in MAXQDA. Analytical tools included network analysis, qualitative and quantitative coding, and descriptive statistical models. Validity was ensured through peer review, and the reliability of categorization was confirmed using Cohen’s kappa (κ &gt; 0.70). Findings indicate that the influential variables cluster into six core categories: (1) land-use planning, (2) land-use optimization, (3) access and transport networks, (4) economic factors, (5) social factors, and (6) environmental factors. Among these, land use, economic development, ecosystem-services value, environmental protection, and population density play the most prominent roles in advancing urban economic sustainability. By proposing a systematic framework, the study provides a foundation for developing more effective models for urban resource management and enhancing economic sustainability.</Abstract>
			<OtherAbstract Language="FA">This study conducts a meta-methodological analysis of land-use planning and economic sustainability to examine novel approaches to urban optimization. Given the rapid pace of urbanization and the consequences of suboptimal land allocation, the need for systematic methods in land-use planning has become increasingly pressing. Designed as an applied–developmental investigation, the research adopts a meta-methodological approach. The sampling frame comprises all articles indexed in the Web of Science from 2015 to 2024. Initially, 94,338 records were identified; after thematic screening, this number was reduced to 7,718. Using VOSviewer, the corpus was further narrowed to 534 articles, and finally, 28 studies were selected based on scientific criteria. Data were collected through systematic content analysis and coded in MAXQDA. Analytical tools included network analysis, qualitative and quantitative coding, and descriptive statistical models. Validity was ensured through peer review, and the reliability of categorization was confirmed using Cohen’s kappa (κ &gt; 0.70). Findings indicate that the influential variables cluster into six core categories: (1) land-use planning, (2) land-use optimization, (3) access and transport networks, (4) economic factors, (5) social factors, and (6) environmental factors. Among these, land use, economic development, ecosystem-services value, environmental protection, and population density play the most prominent roles in advancing urban economic sustainability. By proposing a systematic framework, the study provides a foundation for developing more effective models for urban resource management and enhancing economic sustainability.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Meta-Methodology</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Land-Use Planning</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">economic sustainability</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Urban Optimization</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ue.ui.ac.ir/article_29980_4cede4393bbb790f6afa42aef6ef1d1d.pdf</ArchiveCopySource>
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