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  <doi_batch_id>aspg-22-3525-1791483627</doi_batch_id>
  <timestamp>20261008182027</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
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  <journal>
   <journal_metadata language="en">
    <full_title>International Journal of BIM and Engineering Science</full_title>
    <abbrev_title>IJBES</abbrev_title>
    <issn media_type="electronic">2571-1075</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <journal_volume>
     <volume>10</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Artificial Intelligence in the Construction Industry: a Case Study on Developing an Intelligent Building Permit Management System</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Reezkallah</given_name>
      <surname>Mishtawi</surname>
      <affiliations>
       <institution>
        <institution_name>Building Information Modeling and Management Master Program, Syrian Virtual University, Syria</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Sonia Salim</given_name>
      <surname>Ahmad</surname>
      <affiliations>
       <institution>
        <institution_name>Professor in the Master's Program in Building Information Modeling and Management at the Syrian, Syria</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Ashi</given_name>
      <surname>Ezz</surname>
      <affiliations>
       <institution>
        <institution_name>PhD in Civil Engineering, Canterbury University Alumni, New Zealand</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Eric</given_name>
      <surname>Scheepbouwer</surname>
      <affiliations>
       <institution>
        <institution_name>Professor in Dept. of Civil and Natural Resources Engineering, University of Canterbury, New Zealand</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Amid rapid technological advancements and escalating environmental and urban challenges, the need to leverage advanced technologies such as Artificial Intelligence (AI) and Building Information Modeling (BIM) to enhance construction process management and urban planning becomes evident. The transformative potential of these technologies in the construction industry is evident, particularly in complex urban settings. This study presents the development of a smart system for managing building permits in the Syrian Arab Republic, utilizing the Python programming language and the Flask web framework, built upon BIM principles. The integration of AI with BIM is well-documented for its effectiveness in improving process management within the construction sector. The system aims to enhance the efficiency of the traditional permit issuance process by increasing transparency, reducing time and costs, and improving accuracy and organization. Implementation of this system in a Syrian city, as a case study, led to significant improvements in processing speed, accuracy, and overall user satisfaction. This paper discusses the system’s design, implementation, and impact on the efficiency of building permit transactions, showcasing how digital solutions can significantly contribute to urban planning and development processes. The methodology aligns with the guidelines outlined in the governmental directive for building permits in Marota City (2023), ensuring compliance with local regulatory frameworks.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <pages>
     <first_page>77</first_page>
     <last_page>85</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">3525</item_number>
    </publisher_item>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
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    <doi_data>
     <doi>10.54216/IJBES.100207</doi>
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