Data and information integration framework for highway project decision making.
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2013-08-01
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Abstract:This report presents a three-tiered framework to integrate data, information, and decision-making in highway projects. The study uses the Juran’s Triple Role concept and context graph to illustrate the relationship between data, information, and decision-making. The study discusses the complexity of data and information flow through a conceptual 3-D data flow diagram. The evolution of data and information integration in highway agencies is also outlined in the report. Potential methodologies in extracting information from raw qualitative and quantitative data are summarized. The developed framework was applied to three case studies; a) construction daily work reports, b) preconstruction cost estimation, and c) pavement management. In each case study, the three-tiered framework was applied and the current and ideal level of data and information integration for key decisions were identified and areas for improvement were also identified.
The developed framework will guide DOTs on how to generate and place right information and knowledge in the hands of decision-makers. The implementation of the framework will empower engineers to make informed and justifiable decisions, and lead to the improved accountability of project development and management. In addition, it will allow the active utilization of currently existing databases and justify the continuous and growing data collection efforts by DOTs. Furthermore, DOTs will be able to measure their performances and develop an advanced data collection and information/knowledge generation plan to support key decisions which historically were not well supported with information and data.
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