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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">20</journal-id>
      <journal-title>REA Press</journal-title><issn pub-type="ppub">3042-0199</issn><issn pub-type="epub">3042-0199</issn><publisher>
      	<publisher-name>REA Press</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.22105/opt.v1i1.35</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Multi-Criteria Decision-Making Methods, Logistic Village, Bayesian Best-Worst Method</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Evaluation of Potential Logistics Village Alternatives Using Bayesian Best-Worst Method</article-title><subtitle>Evaluation of Potential Logistics Village Alternatives Using Bayesian Best-Worst Method</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Koç</surname>
		<given-names>Serkan </given-names>
	</name>
	<aff>Department of International Business and Trade, Sakarya University of Applied Sciences, Graduate Education Institute, Sakarya, ‎Turkey‎.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Erden</surname>
		<given-names>Caner </given-names>
	</name>
	<aff>Department of Computer Engineering, Faculty of Technology, Sakarya University of Applied Sciences, Sakarya , Turkey‎.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Ateş</surname>
		<given-names>Çağdaş </given-names>
	</name>
	<aff>Faculty of Applied Sciences, Sakarya University of Applied Sciences, International Trade and Logistics, Sakarya.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Ceviz</surname>
		<given-names>Emre </given-names>
	</name>
	<aff>Ministry of Trade, Ankara, Turkey.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>08</month>
        <year>2024</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>20</day>
        <month>08</month>
        <year>2024</year>
      </pub-date>
      <volume>1</volume>
      <issue>1</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>Evaluation of Potential Logistics Village Alternatives Using Bayesian Best-Worst Method</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			Logistics centers, essential for cost-effective logistics and integral to logistics strategies, serve as central hubs for various activities involving public and private logistics organizations. Turkey's logistics sector has seen significant growth due to rising national and international trade. To meet this demand, numerous logistics villages have been proactively established, with 11 currently operational. Among these, Sakarya province, recognized for its substantial trade volume, is a focal point. This study, employing the powerful Bayesian Best-Worst Method (B-BWM) for multi-criteria decision-making, concentrates on selecting the optimal location for a logistics village in Sakarya. Criteria weights were determined, and alternatives ranked through expert opinions, surveys, and interviews. The Sapanca and Arifiye regions emerged as prime choices. The study emphasizes the importance of logistics infrastructure, with distribution networks and logistics services as vital sub-criteria. The B-BWM method's efficacy in addressing logistics village planning challenges is evident, offering valuable guidance for decision-makers.    
		</p>
		</abstract>
    </article-meta>
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