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  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">REA Press</journal-id>
      <journal-id journal-id-type="publisher-id">Null</journal-id>
      <journal-title>REA Press</journal-title><issn pub-type="ppub">3042-2264</issn><issn pub-type="epub">3042-2264</issn><publisher>
      	<publisher-name>REA Press</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.22105/raise.v2i2.48</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Data envelopment analysis, Efficiency, Efficiency evaluation, Housing market developments, Tehran city</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>A Quantitative Comparative Analysis of Housing Market Developments in Tehran in Spring 2023 and 2024 Based on the Data Envelopment Analysis Approach</article-title><subtitle>A Quantitative Comparative Analysis of Housing Market Developments in Tehran in Spring 2023 and 2024 Based on the Data Envelopment Analysis Approach</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Alireza </surname>
		<given-names>Nayer </given-names>
	</name>
	<aff>Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>05</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>15</day>
        <month>05</month>
        <year>2025</year>
      </pub-date>
      <volume>2</volume>
      <issue>2</issue>
      <permissions>
        <copyright-statement>© 2025 REA Press</copyright-statement>
        <copyright-year>2025</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.5/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p></license>
      </permissions>
      <related-article related-article-type="companion" vol="2" page="e235" id="RA1" ext-link-type="pmc">
			<article-title>A Quantitative Comparative Analysis of Housing Market Developments in Tehran in Spring 2023 and 2024 Based on the Data Envelopment Analysis Approach</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			The present study is aimed at assessing and comparing the developments in Tehran’s housing market during the Spring of 2023 and 2024. To this end, the efficiency of Tehran’s 22 districts was determined using the output-oriented CCR ranking model through GAMS software and ranked using the Andersen and Petersen’s model [1]. Given the public demand for insights into the characteristics of this market, this study seeks to provide reliable analyses using the Data Envelopment Analysis (DEA) method. The findings indicate that in Spring 2023, districts 10, 5, and 2 ranked highest and demonstrated the best efficiency. In Spring 2024, districts 10, 5, and 4 secured the top three ranks, showing the best efficiency. Furthermore, in Spring 2023, districts 20, 21, and 19 respectively had the lowest rankings and poorest efficiency, while in Spring 2024, districts 21, 20, and 19 exhibited the lowest rankings and weakest efficiency. The average super-efficiency in Spring 2023 and Spring 2024 was 0.407 and 0.4, respectively, indicating better efficiency in Spring 2023.
		</p>
		</abstract>
    </article-meta>
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