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    <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">3042-1365</issn><issn pub-type="epub">3042-1365</issn><publisher>
      	<publisher-name>Rea Press</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.48314/jcase.v1i2.43</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject> Energy systems, Safety management, Risk classification</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Analysis of Safety Risks of Construction Projects Using Multi-Criteria Decision-Making Models (A Case Study of Residential Towers of Armitage, Tehran)</article-title><subtitle>Analysis of Safety Risks of Construction Projects Using Multi-Criteria Decision-Making Models (A Case Study of Residential Towers of Armitage, Tehran)</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Alaei </surname>
		<given-names>Hossein</given-names>
	</name>
	<aff>Department of Civil Engineering, Qaemshahr branch, Islamic Azad University, Qaemshahr, Iran.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Aghababaeipour</surname>
		<given-names>Arash </given-names>
	</name>
	<aff>Department of Engineering, Morvarid Intelligent Industrial Systems Research Group, Iran.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>10</month>
        <year>2024</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>26</day>
        <month>10</month>
        <year>2024</year>
      </pub-date>
      <volume>1</volume>
      <issue>2</issue>
      <permissions>
        <copyright-statement>© 2024 Rea Press</copyright-statement>
        <copyright-year>2024</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>Analysis of Safety Risks of Construction Projects Using Multi-Criteria Decision-Making Models (A Case Study of Residential Towers of Armitage, Tehran)</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			The ever-increasing increase in population and urbanization and, as a result, the lack of land has caused many cities in the world to increase in height and create high-rise structures instead of increasing the level. The development and construction plans of civil infrastructure projects, such as the construction of urban tunnels, highways, railways, etc., in addition to the construction projects of residential and construction units, even though they are considered to be one of the most important and job-creating industries of the countries, the advantages and have brought benefits for humans, but due to the complexity and diversity in the construction phase, they are the source of many risks, especially for employees. Therefore, it is very important to pay attention to the issues related to the safety and occupational health of employees in the construction phase. The effects and consequences of not complying with safety issues and the occurrence of accidents will be very costly and sometimes irreparable for the interested groups. This, in turn, is a great limitation for decision makers to optimize energy alternatives independently and discretely, especially in the case of rural communities. In addition, the topographical limitations in the case of renewable energy systems, which are mainly distributed in nature, make energy planning more complicated. In such cases, decision-making analysis plays an important role in designing such a system according to different criteria and goals, even at the exclusive levels of electricity.
		</p>
		</abstract>
    </article-meta>
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