Methodological development of strategy analysis for a nationwide road network: Option evaluation systems with dynamic sectioning
Abstract: Option evaluation systems (OESs) have been extensively used as an effective
means to support decision-making on investment and management of road asset in both
developed and developing countries over the last four decades. When carrying out the strategy
analysis using OESs with dynamic sectioning (called SDS), a nationwide network is typically
subdivided into several sub-networks due to administrative or technical needs. However,
techniques for doing SDS in such a case have not been well developed. Therefore, the
objective of the paper is to present a comprehensive procedure to carry out the SDS for a
nationwide road network including sound trade-off analyses of all constituent sub-networks.
Although the Highway Development and Management System (HDM-4) is used as an OES in
the case study in this paper, the proposed procedure is general enough to allow almost any
OESs.
186.46 38.50 341.30 3 116.34 117.40 107.56 341.30 500% 341.30 4 116.34 117.40 45.77 279.51 5121.400 428.660 62.190 5612.250 5612.239 0.00 1 140.32 82.41 50.31 273.04 2 116.34 118.20 38.50 273.04 400% 273.04 3 116.34 117.40 39.30 273.04 5121.400 428.660 61.920 5611.980 5612.140 0.00 300% 204.78 1 109.14 60.69 34.95 204.78 5118.290 423.840 61.820 5603.950 5608.652 0.08 200% 136.52 1 77.95 38.97 19.60 136.52 5115.810 413.750 61.330 5590.890 5597.726 0.12 175% 119.46 1 70.16 33.54 15.76 119.46 5107.260 425.830 60.450 5593.540 5588.517 -0.09 150% 102.39 1 62.36 28.11 11.92 102.39 5092.520 406.690 59.300 5558.510 5579.002 0.37 125% 85.33 1 54.57 22.68 8.08 85.33 5073.130 401.700 55.000 5529.830 5557.688 0.50 100% 68.26 1 46.77 17.24 4.25 68.26 4995.710 379.470 32.780 5407.960 5500.331 1.68 75% 51.20 1 38.97 11.82 0.41 51.20 4884.990 336.030 2.500 5223.520 5353.738 2.43 1 31.18 6.38 -3.43 34.13 50% 34.13 2 29.15 4.98 0.00 34.13 4545.260 198.720 0 4743.980 4965.352 4.46 AHMED/EBMc) HDM-4d) a)A0 is calculated as A0 = B0/T, where B0 is the total budget over T-year analysis period under unconstrained mode. b)“Diff.” is calculated as %100 )( )()( x NetworkNPV networkSubNPVNetworkNPV i∑ −− . c) AHMED is a “heuristic” optimization method used in EBM. d)HDM-4 uses a “heuristic” optimization method called NPV/Cost method when the number of road sections is larger than 400, which is the case with the present case study. . 5.00 5.50 6.00 6.50 20 08 20 10 20 12 20 14 20 16 Time (year) A ve ra ge IR I ( m /k m ) The nationwide network Integrated sub-networks Figure 5. Comparison of annual capital expenditures between the nationwide network and integrated sub-networks (A = 125%A0) Figure 6. Comparison of network average IRI’s between the nationwide network and integrated sub-networks (A = 125%A0) 84.00 84.50 85.00 85.50 86.00 20 08 20 10 20 12 20 14 20 16 Time (year) A nn ua l E xp en di tu re ($ m il The whole nationwide network Integrated sub-networks Journal of the Eastern Asia Society for Transportation Studies, Vol.7, 2009 15 4. ANALYSIS RESULTS The road network was grouped in three sub-networks based on traffic loadings (i.e., high/very high, medium, and low traffic sub-networks). The HDM-4/EBM model is used as an OES for carrying out the SDS for these sub-networks. A twenty-year analysis period and a 12% social discount rate are used in the case study. The planning period is ten years. The NPV functions constructed for these sub-networks are shown in Table 11. It was found that the proposed specification of NPV function is reasonable in the modified NPVF as shown by the very high R-square values. Table 11 also shows the feasibility range of annual budget for each sub- network. The upper bounds of these ranges were found by running the HDM-4/EBM in the unconstrained budget mode and using Eq. (3). Table 12 shows the results of the optimal budget allocation over these sub-networks for different nationwide budgets. Most budget levels required two to three iterations until all feasibility requirements were satisfied. To evaluate the accuracy of the NPVF modified for the uniform annual budget distribution, the HDM-4 with the incremental NPV/Cost method was run separately using the entire road network with the same nationwide budgets. The last column in Table 12 shows that the sum of the NPVs of three sub-networks under optimal budget allocations are very close to those obtained by running the whole network, indicating a very high accuracy of the modified NPVF. Figures 4 and 5 present comparisons for annual capital expenditures and average network conditions (for the case with the total budget A equals to 125%A0) between the analyses with the whole network and the integrated sub-networks applying the modified NPVF. These results are very similar and imply that the budget allocation methodology proposed is feasible and applicable when considering the case of uniform annual budget distribution over the planning period. 5. CONCLUSIONS The paper has presented a comprehensive procedure to carry out the strategy analysis using OESs with dynamic sectioning (SDS ) for a nationwide road network including the sound trade-off analysis of all road sub-networks. Generation of appropriate maintenance alternatives for the use of SDS was presented in a systematic manner along with the application of GSOE. The NPVF approach has been expanded to more general applications when considering uniform distribution of annual budgets over the planning period. The procedure can be used as a guideline to assist a road agency when conducting the strategy analysis, or program analysis, of a nationwide road network using OESs to prepare expenditures of the entire network or sub-networks under various budget policies and economic scenarios. REFERENCES Archondo-Callao, R., (1999). Expenditure Budgeting Model (EBM-32). The World Bank, Washington, D.C., USA. Archondo-Callao, R., (2008). Applying the HDM-4 Model to Strategic Planning of Road Works, Transport Papers, The World Bank, Washington, D.C., USA. Bennett, C.R. and W.D.O. Paterson (2002). A Guide to Calibration and Adaptation. Volume V, HDM-4 Manual. World Road Association, ISOHDM, PIARC, Paris, France. 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