Resource Allocation Logic Framework to Meet Highway Asset Preservation (2012) / Chapter Skim
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44 C h a p t e r 6 After formulating the mathematical model for the resource allocation problem, the research team developed a tool to derive solutions using the logic model. The tool demonstrates the capabilities of the logic model, based on plausible assumptions and examples of data sets and input decisions in a hypothetical state DOT setting.
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resource allocation Logic Framework 45 The logic framework involves the following major components: • Adjustable Strategic Inputs. These are determined by policies, program objectives, overall performance/condition expectations, best practices, and available resources and constraints.
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46 resource allocation Logic Framework for highway asset preservation envelope for an AAG within a jurisdiction -- either district or state. Neither selection of specific projects nor preservation tactics are intended to derive from this logic model.
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resource allocation Logic Framework 47 assumptions of the case inputs, computations, and output results are described in subsequent sections. The basic flow of the computational operations in the model can easily be followed, as users progress through the input tabs and computation tables and summaries.
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48 resource allocation Logic Framework for highway asset preservation 6.2.3 Funding Constraint Inputs The key assumption here is that NSDOT14 has determined a total funding amount available for the entire Preservation Program (i.e., distinct from Maintenance, Expansion, Traffic) , and that external constraints on the use of the funds can be quantified and summed up, including such items as pre-committed major projects, specific statewide campaigns, and major one-off projects.
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resource allocation Logic Framework 49 6.2.5 Strategic Inputs After setting the Allocation Method, the next step is to set the strategic inputs for allocating resources by each AAID. Table 6-5 shows the different input values to be provided by the user.
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50 resource allocation Logic Framework for highway asset preservation • Target Time (in Years or Cycles) to Reach Target Rating.
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resource allocation Logic Framework 51 amount will float for each AAG, as the allocation is optimized for best overall performance gain. This table limits the adjustment "float" for the number 1-ranked AAG to a greater extent than for the number 6-ranked AAG.
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52 resource allocation Logic Framework for highway asset preservation Asset-Ac�vity Group (AAG) Units of Measure Average District 1 District 2 District 3 District 4 District 5 District 6 District 7 District 8 District 9 District 10 Bridges Bridge Decks 77.2% 77.2% 76.2% 78.0% Pavements Lane Miles 75.9% 76.1% 75.8% 75.6% Signs # of Signs 92.6% 92.1% 92.9% 92.8% Highway Ligh�ng # of Lights 82.8% 83.0% 82.5% 82.0% Guardrail Miles of Guardrail 75.7% 75.0% 76.0% 76.5% Weigh Sta�ons # of Sta�ons 77.7% 78.0% 76.5% 78.5% - - - - - - Regions Table 6-8.
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resource allocation Logic Framework 53 activities is very different from each other, the research team focused most heavily on realistic estimation of average unit costs and deterioration rates for these two asset groups: • Pavements. Numerous pavement deterioration studies gravitate around 18- to 20-year cycles for major overlay/repaving events, with average costs as low as $100,000 per lane mile; however, costs can run in excess of $130,000 per lane mile, depending on the maintenance regimen in effect.
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54 resource allocation Logic Framework for highway asset preservation Total Needed for Target Rating Inventory= [ ] × Target Rating Current Rating Average [ ]
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resource allocation Logic Framework 55 It can be seen that the sum of the Annual Allocation Needed is $300,698,654, which exceeds the total available funding of $215,000,000. This sets the stage for the optimization process (described in the next section)
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56 resource allocation Logic Framework for highway asset preservation Desired Time Estimated Time Difference (Desired - Target) Average Historical Allocation Difference (Current - Historical)
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resource allocation Logic Framework 57 Step 2. In 4-Strategy Inputs tab, Table 4-2 (in the model)
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58 resource allocation Logic Framework for highway asset preservation Step 3. In 5-Data Inputs tab, enter values in the five tables for ALL AAGs.
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resource allocation Logic Framework 59 Step 5. Run the optimization model by selecting the Run Model button in the 7-Run Model tab.
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60 resource allocation Logic Framework for highway asset preservation Step 4. In the 5-Data Inputs tab, input values in the five tables for the assets for which NeedsBased Allocation is to be made.
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resource allocation Logic Framework 61 6.4.2 Scenario 2: Constrained Case (Fully Needs-Based Allocation) This is the same as the base case, but the Adjustments to Directed Program in Tab 4-1 is increased to 91,000 from 66,000 (in base case)
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62 resource allocation Logic Framework for highway asset preservation column)
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resource allocation Logic Framework 63 for Signs and Guardrail, the allocation for guardrail increases more than the baseline (optimal) allocation whereas the allocation for Signs ends up being less than the optimal allocation.
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