Digital Project Controls and Data-Driven Decision-Making for Land Use and Built Environment Development in Saudi Mega Projects

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@article{1719624,
      author = {Inamul Mattakar},
      title = {Digital Project Controls and Data-Driven Decision-Making for Land Use and Built Environment Development in Saudi Mega Projects},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {1},
      pages = {834-845},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1719624.pdf},
      abstract = {The development of mega projects in Saudi Arabia is changing the national built environment through integration of various components of urban infrastructure such as tourism facilities, urban planning, real estate, mobility, public space, utilities, and digital governance in the Vision 2030. The scale of these projects creates a complex delivery environment. Traditional project controls often become ineffective because of land use decisions, design modifications, schedule logic, cost estimation, permits, and stakeholder commitments are interdependent. This review paper aims to explore how digital project controls and evidence-based decision-making help in optimizing the land use and built environment development through Saudi Arabia mega projects. By analysing current literature on topics such as smart construction, BIM, GIS, PMIS, digital twins, earned value management, risk analysis and urban governance, the research proposes a framework that integrates geographic information on land use with real time performance data at the project control level. This paper argues that the best project controls approach is not just the reporting tool, but it is the decision-making system, which translates isolated project information into prompt action for planners, engineers, designers, consultants, developers, and public authorities.},
      keywords = {Digital Project Controls, Data-Driven Decision-Making; Land Use, Built Environment, Saudi Mega Projects, BIM, GIS, PMIS, Vision 2030, Urban Planning.},
      month = {July},
      doi = {https://doi.org/10.64388/IREV10I1-1719624}
  }