Assessing Building Information Modeling (BIM) Maturity and Identifying Barriers to Implementation among Transportation Agencies in Region 6
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2025-01-15
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Edition:Final Report (October 2023- September 2024)
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Abstract:Despite the significant benefits of Building Information Modeling (BIM) in the transportation sector, its widespread adoption faces several challenges. Key barriers include technological limitations, such as integrating BIM with legacy systems, and organizational issues, like resistance to change and a lack of skilled personnel. The fragmented nature of transportation projects, involving numerous stakeholders and diverse project phases, further complicates BIM implementation. The absence of a unified framework for BIM adoption and implementation has led to inconsistent maturity levels across Departments of Transportation (DOTs), hindering effective evaluation and improvement of digital delivery practices. This research was conducted to develop a systematic BIM implementation framework aligned with the FHWA National Strategic Roadmap for regional DOTs, with a focus on Region 6. Although many State DOTs in the region have adopted data-collection technologies for specific project phases, there is a gap in integrating and utilizing data across the project lifecycle. The project research goals were to (1) review literature to develop BIM competency metrics, (2) collect and analyze data on the current state of BIM implementation in Region 6, and (3) create an actionable BIM implementation framework based on the maturity assessments in Region 6. Data was collected through a survey and follow-up discussions with each State DOT in the region, offering valuable insights into their BIM practices and maturity levels. The resulting framework outlines practical steps for advancing BIM adoption in alignment with the FHWA National Strategic Roadmap, addressing key barriers and supporting the evolution of BIM practices across the region.
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Main Document Checksum:urn:sha-512:608e4347bebc4bb130149ac1c3de961067155d710888eb615a3dc18d6e8420434b797809f3920c64e3b2193a5c453c8febdf247f84d55c1aa17547f56c420999
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