A Review of Highway Agencies in the South Asia Region

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A Review of Highway Agencies in the South Asia Region Table A6: Computation of NQI in millimeter (mm) per km of road. The following steps can be used to compute the NQI of the network. Step 1: The roughness levels may be measured all along the CRN once a year; divide the network into the following categories: (a) Length where roughness is up to 3,000 mm/km (b) Length where roughness is between 3,000 and 4,000 mm/km (c) Length where roughness is more than 4,000 mm/km Step 2: Tabulate the results and compute the NQI considering the extent of roughness on the network as indicated in Table A6. Roughness Level Percent Length of CRN Relative Score Weighted Score Up to 3,000 mm/km x 1 100 x 1 = WS 1 Between 3,000 and 4,000 mm/km x 2 80 0.80 x 2 = WS 2 More than 4,000 mm/km x 3 50 0.50 x 3 = WS 3 Network Quality Index WS 1 + WS 2 + WS 3 Table A7: Result of analysis in Step 1 Higher the value of NQI, better the performance of the highway agency. An example to illustrate the computation of NQI follows. (i) Let us assume that, as a result of the analysis carried out in Step 1, the following picture emerges (Table A7): Roughness Length Percent Length Length where roughness is up to 3,000 mm/km 4,000 km (33.33%) Length where roughness is between 3,000 and 4,000 mm/km 6,000 km (50.00%) Length where roughness is more than 4,000 mm/km 2,000 km (16.67%) Total 12,000 km 100.00 Table A8: Computation of NQI (ii) Computation of NQI Roughness Level Percent Length of CRN Relative Score Weighted Score Length where roughness 33.33 100 33.33 is up to 3,000 mm/km Length where roughness 50.00 80 0.80 x 50.00 = 40.00 is between 3,000 and 4,000 mm/km Length where roughness is more than 4,000 mm/km 16.67 50 0.50 x 16.67 = 8.33 Network Quality Index 81.66, say 82 84
A Review of Highway Agencies in the South Asia Region Indicator 34: Road User Satisfaction Index (RUSI) The highway agency is expected to carry out user satisfaction surveys on its CRN once a year on sampling basis, using statistical techniques. Such surveys should record opinions of the users on certain parameters such as riding comfort, accident hazards, response to emergency situations, wayside amenities, time delays at toll plazas, check posts and railway crossings, facilities for vulnerable road users, road signs and traffic arrangements in work zones. The results of each of these surveys may be recorded on a rating scale of 3 for each parameter, 1 being poor, 2 being fair and 3 being good. The following steps can be used in computing the overall RUSI. Step 1: First, tabulate the results and compute the RUSI for each sample survey as indicated in Table A9. Higher the index, higher the level of user satisfaction and better the perception of the road user about the performance of the highway agency. Table A9: Computation of RUSI for each sample survey (Illustrative example of one sample survey) Parameter Net Average1 Opinion Relative Weightage for Weighted from the Sample Score2 the Parameter3 on Rating Scale of 3 Score Riding comfort 3 100 0.20 20 Accident hazards 2 60 0.20 12 Response to emergency situations including medical trauma care facilities. 1 30 0.20 6 Wayside amenities 2 60 0.10 6 Time delays at toll plazas/ check posts, railway level crossings 1 30 0.10 3 Facilities for vulnerable road users 1 30 0.10 3 Road signs and travel information 2 60 0.05 3 Traffic arrangements in work zones 2 60 0.05 3 Overall RUSI 56 1. Number denotes level of satisfaction 1 low (poor), 2 medium (fair) and 3 high (good). 2. Allocate 100 points to scale 3, 60 points to scale 2 and 30 to scale 1. 3. Weightage proposed for the parameter. Step 2: Compute the average RUSI by summing up the overall RUSI for each of the sample surveys and dividing the sum by the number of sample surveys. Overall RUSI for the network = (arithmetic average) Higher the index value, better the road user satisfaction. 85
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Transport Division Transport, Water
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A Review of Highway Agencies in the South Asia Region

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