International Journal of BIM and Engineering Science

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https://doi.org/10.54216/IJBES

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Volume 10 , Issue 2 , PP: 58-66, 2025 | Cite this article as | XML | Html | PDF | Full Length Article

Artificial Intelligence in the Construction Industry: a Case Study on Developing an Intelligent Building Permit Management System

Reezkallah Mishtawi 1 * , Sonia Salim Ahmad 2 , Ashi Ezz 3 , Eric Scheepbouwer 4

  • 1 Building Information Modeling and Management Master Program, Syrian Virtual University - (rizk_allah_178579@svuonline.org)
  • 2 Professor in the Master's Program in Building Information Modeling and Management at the Syrian - (t_sahmad@svuonline.org)
  • 3 PhD in Civil Engineering, Canterbury University Alumni - (aab81@uclive.ac.nz)
  • 4 Professor in Dept. of Civil and Natural Resources Engineering, University of Canterbury, New Zealand - (eric.scheepbouwer@canterbury.ac.nz)
  • Doi: https://doi.org/10.54216/IJBES.100207

    Received: October 07, 2024 Revised: December 17, 2024 Accepted: January 08, 2025
    Abstract

    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.

    Keywords :

    Artificial Intelligence , Construction Industry , Intelligent Building , Permit Management  , System

    References

    [1]    Makkari, Ihssan. "BIM-Based Building Permit Process Enhancement: A Case Study in Syria". Master's Thesis, 2024.

    [2]    Jaber, Abdullah. "Artificial Intelligence in the Construction Industry: Applications and Challenges". Scientific Publishing House, 2021.

    [3]    Smith, John. "The Integration of AI and BIM in Construction Management". Journal of Construction Engineering, 2022.

    [4]    Ahmed, Khaled. "The Importance of Automation in Improving the Efficiency of the Building Permit Issuance Process". Journal of Engineering Sciences, 2023

    [5]    "Flask Documentation". Flask.palletsprojects.com. Accessed June 2024.

    [6]    "Python Official Documentation". Python.org. Accessed June 2024.

    [7]    "Guidelines for Issuing Building Permits". Ministry of Housing and Urban Development, 2022.

    [8]    Elhendawi, A. (2018). Methodology for BIM Implementation in KSA in AEC Industry. Master of Science MSc in Construction Project Management, Edinburgh Napier University, UK.

    [9]    Saleh, F., Elhendawi, A., Darwish, A.S., & Farrell, P. (2024). A Framework for Leveraging the Incorporation of AI, BIM, and IoT to Achieve Smart Sustainable Cities. Journal of Intelligent Systems and Internet of Things, 11(2), 75-84.

    [10] Saleh, F., Elhendawi, A., Darwish, A.S., & Farrell, P. (2024). An ICT-based Framework for Innovative Integration between BIM and Lean Practices Obtaining Smart Sustainable Cities. Fusion: Practice and Applications (FPA), 68.

     

    [11]  Borrmann, A., König, M., Koch, C., & Beetz, J. (2018). Building Information Modeling: Technology Foundations and Industry Practice. Springer International Publishing. https://doi.org/10.1007/978-3-319-92862-3

    [12] Zhang, X., Wang, Y., & Chen, J. (2022). "Digital Twins and Their Integration in Urban Development: A Framework for Enhanced BIM Applications." Journal of Urban Technology, 29(1), 75-98. https://doi.org/10.1080/10630732.2022.2033446

    Cite This Article As :
    Mishtawi, Reezkallah. , Salim, Sonia. , Ezz, Ashi. , Scheepbouwer, Eric. Artificial Intelligence in the Construction Industry: a Case Study on Developing an Intelligent Building Permit Management System. International Journal of BIM and Engineering Science, vol. , no. , 2025, pp. 58-66. DOI: https://doi.org/10.54216/IJBES.100207
    Mishtawi, R. Salim, S. Ezz, A. Scheepbouwer, E. (2025). Artificial Intelligence in the Construction Industry: a Case Study on Developing an Intelligent Building Permit Management System. International Journal of BIM and Engineering Science, (), 58-66. DOI: https://doi.org/10.54216/IJBES.100207
    Mishtawi, Reezkallah. Salim, Sonia. Ezz, Ashi. Scheepbouwer, Eric. Artificial Intelligence in the Construction Industry: a Case Study on Developing an Intelligent Building Permit Management System. International Journal of BIM and Engineering Science , no. (2025): 58-66. DOI: https://doi.org/10.54216/IJBES.100207
    Mishtawi, R. , Salim, S. , Ezz, A. , Scheepbouwer, E. (2025) . Artificial Intelligence in the Construction Industry: a Case Study on Developing an Intelligent Building Permit Management System. International Journal of BIM and Engineering Science , () , 58-66 . DOI: https://doi.org/10.54216/IJBES.100207
    Mishtawi R. , Salim S. , Ezz A. , Scheepbouwer E. [2025]. Artificial Intelligence in the Construction Industry: a Case Study on Developing an Intelligent Building Permit Management System. International Journal of BIM and Engineering Science. (): 58-66. DOI: https://doi.org/10.54216/IJBES.100207
    Mishtawi, R. Salim, S. Ezz, A. Scheepbouwer, E. "Artificial Intelligence in the Construction Industry: a Case Study on Developing an Intelligent Building Permit Management System," International Journal of BIM and Engineering Science, vol. , no. , pp. 58-66, 2025. DOI: https://doi.org/10.54216/IJBES.100207