United States Department of Transportation
i
Guide for Optimizing Survey Data for 3D Design - Spring 2017
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2017-03-01
[PDF-1.33 MB]
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Abstract:Digital project delivery is a paradigm that can enable the State Transportation Agency (STA) to make effective decisions throughout the project lifecycle. All project delivery starts with a sound understanding of the existing site conditions. The closer that understanding is to the actual field conditions, the more meaningful the decisions made during design will be, leading to a more efficient and effective design and construction process. The challenge of getting a complete picture from this valuable information is mainly due to a lack of data governance protocols and descriptive information about the data itself. Accessibility to the survey information is further complicated if the data is housed within hardcopy documents, such as field books, or in a legacy (or proprietary) format incompatible with current systems, thus making the data largely unusable. This poses difficulty in effectively using data that may in fact be valuable for 3D design. Moreover, organizations such as STAs do not leverage the full value of survey data and expertise throughout the project delivery spectrum. This is evidenced by limited investment in and attention to survey data upfront in the design process and deferring risks into construction. In fact, lower confidence and high uncertainty in the use of survey data widen the gap between estimated and actual construction costs. A successful strategy easily employed by STAs to reduce this uncertainty and elevate confidence is building and nurturing collaborative relationships between design staff and survey staff. This ensures survey-related opportunities are considered and acted upon early in the design to confidently reduce risks in construction. Some transportation projects span many years and create unavoidable uncertainty in the reliability of the base map from which the design is created. Several considerations, which are outlined in this document, need to be taken into account before moving ahead with design or construction after such a long delay. Hence, there needs to be a process that evaluates the base map for accuracy and reliability at key milestones. This Guide discusses four key principles—risk management, agility, collaboration, and metadata—to help the designer optimize survey data for 3D design. This information will help designers understand the risks associated with base map data and to work with the resident engineer in addressing potential risks prior to construction. This document provides general guidance intended to allow organizations to take a risk-based approach to investing in preconstruction survey. Understanding the risks and mitigation measures will allow STAs to better control the project costs and quality before construction begins.
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