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Transportation Asset Data Management: BIM as a Holistic Data Management Approach
Departments of Transportation (DOTs) are responsible for managing and maintaining transportation assets in the US. DOTs manage a wide variety of assets throughout their lifecycle, including high-value assets such as pavements and bridges, in addition to a wide variety of ancillary assets. Managing transportation assets with declining funding and deteriorating infrastructure conditions requires that DOTs have reliable and useful quality data to make better decision-making and efficient capital investments. However, they are still facing challenges in collecting, managing, and sharing transportation asset data. By conducting a comprehensive review of the DOTs’ current practices in managing their transportation asset data, used technologies to assist in managing asset data, challenges faced, and addressed efforts to pass those challenges were extracted and grouped into six major data management practices. Furthermore, this paper investigated the possibility of implementing Building Information Modeling (BIM) as a hub that allows for a seamless asset data management approach.
Transportation Asset Data Management: BIM as a Holistic Data Management Approach
Departments of Transportation (DOTs) are responsible for managing and maintaining transportation assets in the US. DOTs manage a wide variety of assets throughout their lifecycle, including high-value assets such as pavements and bridges, in addition to a wide variety of ancillary assets. Managing transportation assets with declining funding and deteriorating infrastructure conditions requires that DOTs have reliable and useful quality data to make better decision-making and efficient capital investments. However, they are still facing challenges in collecting, managing, and sharing transportation asset data. By conducting a comprehensive review of the DOTs’ current practices in managing their transportation asset data, used technologies to assist in managing asset data, challenges faced, and addressed efforts to pass those challenges were extracted and grouped into six major data management practices. Furthermore, this paper investigated the possibility of implementing Building Information Modeling (BIM) as a hub that allows for a seamless asset data management approach.
Transportation Asset Data Management: BIM as a Holistic Data Management Approach
Ammar, Ashtarout (author) / Dadi, Gabriel (author) / Nassereddine, Hala (author)
Construction Research Congress 2022 ; 2022 ; Arlington, Virginia
Construction Research Congress 2022 ; 208-217
2022-03-07
Conference paper
Electronic Resource
English
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