The National Academies Press

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Pages 41-43

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From page 41... ... 41 C h a p t e r 5 With a strategic framework defined to guide resource allocation decisions, the research team developed an Excel model to demonstrate the logic framework and the optimization logic. The team populated a sample case application based on plausible data that was adapted from the project research and previous experience. Read the entire page →
From page 42... ... 42 resource allocation Logic Framework for highway asset preservation The research team conducted a number of detailed telephone discussions with representatives from these two agencies and gathered information about the following: • Overall processes used to allocate preservation and maintenance funds across different asset groupings • Scope of the preservation and maintenance program and the asset groupings covered • General taxonomy of assets and activities used in a preservation context • Approach for assessing the performance or condition of assets • Units of measure used to define inventory for different asset groups • Rating standards and approaches to assess performance or condition • Inventory data for bridge, pavement, and other asset groups addressed by the preservation programs • Information on how the expenditures and accomplishments (by asset groups) are tracked and recorded • Capabilities to determine unit costs from historical data Both Washington State DOT and Nevada DOT shared extensive information during the discussions and also provided relevant documentation and data. Read the entire page →
From page 43... ... Case Studies and Workshop Findings 43 The research team and workshop participants defined and shared resource allocation issues and challenges, discussed the findings from case studies, reviewed the revised Resource Allocation Logic Framework and assessed the practicality of the solution. The research team conducted a live demonstration of the Excel model and conducted interactive model testing, where the participants were provided an opportunity to observe "test" scenarios. Read the entire page →

From page 41...

... 41 C h a p t e r 5 With a strategic framework defined to guide resource allocation decisions, the research team developed an Excel model to demonstrate the logic framework and the optimization logic. The team populated a sample case application based on plausible data that was adapted from the project research and previous experience.

Read the entire page →

From page 42...

... 42 resource allocation Logic Framework for highway asset preservation The research team conducted a number of detailed telephone discussions with representatives from these two agencies and gathered information about the following: • Overall processes used to allocate preservation and maintenance funds across different asset groupings • Scope of the preservation and maintenance program and the asset groupings covered • General taxonomy of assets and activities used in a preservation context • Approach for assessing the performance or condition of assets • Units of measure used to define inventory for different asset groups • Rating standards and approaches to assess performance or condition • Inventory data for bridge, pavement, and other asset groups addressed by the preservation programs • Information on how the expenditures and accomplishments (by asset groups) are tracked and recorded • Capabilities to determine unit costs from historical data Both Washington State DOT and Nevada DOT shared extensive information during the discussions and also provided relevant documentation and data.

Read the entire page →

From page 43...

... Case Studies and Workshop Findings 43 The research team and workshop participants defined and shared resource allocation issues and challenges, discussed the findings from case studies, reviewed the revised Resource Allocation Logic Framework and assessed the practicality of the solution. The research team conducted a live demonstration of the Excel model and conducted interactive model testing, where the participants were provided an opportunity to observe "test" scenarios.

Read the entire page →

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