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Cesar Queiroz, Ph.D. Consultant, former World Bank Highways Adviser Arusha June 2012 Road Network Evaluation Tools

Transcript of Road Network Evaluation Tools - World Banksiteresources.worldbank.org/EXTAFRSUBSAHTRA/...Road...

Page 1: Road Network Evaluation Tools - World Banksiteresources.worldbank.org/EXTAFRSUBSAHTRA/...Road Network Evaluation Tools . RONET overview, main concepts ... Earth Traffic I T1 0 10 5

Cesar Queiroz, Ph.D. Consultant, former World Bank Highways Adviser

Arusha June 2012

Road Network Evaluation Tools

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RONET overview, main concepts and background

• Optimization defined • A common concern: how to optimize

maintenance and rehabilitation • What is required for an agency to use

RONET? • RONET structure • RONET applications

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Road Agency Budget

Total Road Transport Costs

User Costs

Budget, Costs $

Too Large

Too Poor Optimal Too Good

Optimal

Too Small

Road Condition

Optimal Road Condition

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• RONET, developed by Rodrigo Archondo-Callao for SSATP, helps decision makers to: Monitor network condition Plan allocation of resources Assess consequences of macro

policies Design Road Asset Management

Systems

Road Network Evaluation Tools

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• Availability: RONET is available free of charge on the World Bank website at: http://go.worldbank.org/HWVR0FWEF0

http://go.worldbank.org/FF0CT8M770 • General use: RONET can be used in

any city, country or region, provided that appropriate data are available

• Version 2.00 – latest version, published in 2009

Road Network Evaluation Tools

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RONET Version 2.00

Road Network Evaluation Tools Version 2.00, January, 2009

Step Configuration Inputs Calculations Outputs

O-Length & Utilization1) C-Basic Configuration I-Country Data Current Condition Assessment O-Asset Value

I-Road Network Length O-RoughnessO-Network Distribution ChartsO-Network Monitoring Indicators

Performance Assessment O-Network Performance2) C-Standards Configuration I-Historical Expenditures O-Annual Work Program

O-Solution CatalogO-Road Works DistributionO-Road Works SummaryO-Historical Expenditures Comparison

3) C-Vehicle Fleet Configuration I-Road User Charges Road User Revenues O-Fuel Consumption RevenuesI-Funding Requirements O-Road User Revenues

O-Requirements & Revenues Comparison

The World BankWashington, D.C.

PAM

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What is Required for an Agency to Take Advantage of Tools Such as HDM-4 and RONET?

• Updated road inventory and condition data, e.g., length of roads in each category, pavement structure, road roughness

• Traffic data, e.g., volumes by vehicle category, weight of heavy vehicles

• Road user cost data, e.g., price of new vehicles, fuel consumption and cost

• Unit cost of road works, e.g., rehabilitation ($/km), new construction ($/km)

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Total 5 X 5 X 5 X 5 = 625 Road Classes

Matrix of Road Classes: Overall Network Evaluation

Network Road TypeType Concrete Asphalt S.T. Gravel EarthMotorwaysPrimarySecondaryTertiaryUnclassified

Traffic Condition CategoryCategory Very Good Good Fair Poor Very PoorTraffic ITraffic IITraffic IIITraffic IVTraffic V

Road Network Length Matrix

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• Main road condition indicator used by models such as RONET and HDM

• A standard scale used throughout the world to quantify the roughness of roads

• The IRI summarizes the roughness qualities that impact vehicle response (such as vehicle vibration)

• It relates to overall vehicle ride, operating cost, dynamic wheel loads, and overall surface condition

International Roughness Index (IRI)

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• The International Road Roughness Experiment, Brasilia, Brazil, 1982

• Reference: World Bank Technical Paper No. 45, “The International Road Roughness Experiment: Establishing Correlation and a Calibration Standard for Measurements,” available at: http://go.worldbank.org/0UUNR93490

Development of IRI

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International Roughness Index

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• IRI is determined by measuring the profile along the wheel paths of the road, and then filtering the profiles through a quarter-car mathematical model to simulate the suspension deflection of a passenger car

• Its uses include assessing road condition and as a construction specification

IRI Meaning and Uses

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• “ProVAL” - Profile Viewing and AnaLysis - an engineering software used to view and analyze pavement profiles, including IRI calculations

• Sponsored by the US Federal Highway Administration (FHWA)

• Available free of charge from: http://www.roadprofile.com/

IRI Calculation from Road Profiles

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• “RoadRuf” – a tool for computing IRI, available from the University of Michigan at: http://www.umtri.umich.edu/divisionPage.php?pageID=62

• RoadRuf includes an interactive X-Y plotter and a spectrum analyzer

• A sample program for calculating IRI is available at: http://www.umtri.umich.edu/content/IRIMain.f

IRI Calculation from Road Profiles

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RONET uses simplified incremental road deterioration model for paved roads: • traffic loading (YE4) • pavement modified structural number and

subgrade bearing capacity (SNC) • pavement age (t) • environmental coefficient (m) • existing condition (IRIa)

( )−⋅ ⋅ = ⋅ α ⋅ ⋅ + ⋅α ⋅ + α ⋅ + ⋅ ⋅ gm 5K m t

gp o 1 2 gm adIRI K e 1 SNC YE4 t K m IRI

RONET Paved Road Deterioration Model

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• Expressed as a polynomial function of roughness for each vehicle category

• Developed using World Bank RUCKS (Road User Costs Knowledge System) model

URUC - unit road users’ cost ($/vehicle-km) IRI - pavement longitudinal roughness (m/km) a0, a1, a2, a3 - model coefficients that depend on input

data (e.g., new vehicle, fuel and tire costs)

Road User Costs Model

= + ⋅ + ⋅ + ⋅2 3o 1 2 3URUC a a IRI a IRI a IRI

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• Very good: IRI less than 2.5 m/km • Good: IRI from 2.5 m/km to 3.5 m/km • Fair: IRI from 3.5 m/km to 5.5 m/km • Poor: IRI from 5.5 m/km to 10.5 m/km • Very poor: IRI higher than 10.5 m/km

Example of IRI and Road Condition

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Riverside Freeway, SR 91, CA

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• Five or less network types can be defined by the user based on functional classification, region, terrain type, or environmental type

Default AlternativeConfiguration Configurations Examples

Network Types by Types by Types byType Functional Class Geographic Region Terrain Type

1 Motorways North Region Flat Terrain2 Primary South Region Hilly Terrain3 Secondary Easthern Region Mountainous Terrain4 Tertiary Western Region NA5 Unclassified Central Region NA

Types of Road Network

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• RONET uses five surface types. The country specific characteristics of the surface types are user defined

DefaultSurface Configuration

Type Surface Type1 Cement Concrete2 Asphalt Mix3 Surface Treatment4 Gravel5 Earth

Surface Types

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Average Annual Daily Traffic (AADT) Illustrative StandardsSurface Traffic Traffic Minimum Maximum Average Geometry PavementType Category Level (veh/day) (veh/day) (veh/day) Standard StandardEarth Traffic I T1 0 10 5 1-lane warranted Formation not warranted

Traffic II T2 10 30 20 1-lane warranted Formation warrantedTraffic III T3 30 100 65 2-lane warranted Gravel warrantedTraffic IV T4 100 300 200 2-lane warranted Gravel warrantedTraffic V T5 300 1,000 650 2-lane warranted Paved Surface warranted

Gravel Traffic I T2 10 30 20 1-lane warranted Formation warrantedTraffic II T3 30 100 65 2-lane warranted Gravel warrantedTraffic III T4 100 300 200 2-lane warranted Gravel warrantedTraffic IV T5 300 1,000 650 2-lane warranted Paved Surface warrantedTraffic V T6 1,000 3,000 2,000 2-lane warranted Paved Surface warranted

Paved Traffic I T4 100 300 200 2-lane warranted Gravel warrantedTraffic II T5 300 1,000 650 2-lane warranted Paved Surface warrantedTraffic III T6 1,000 3,000 2,000 2-lane warranted Paved Surface warrantedTraffic IV T7 3,000 10,000 6,500 2-lane warranted Paved Surface warrantedTraffic V T8 10,000 30,000 20,000 4-lane warranted Paved Surface warranted

- Standard given for illustration purposes. Proper standards are country specific.- AADT of motorized 4-tires or more 2-way traffic

Traffic categories vary by surface type

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• Very Good: requires only routine maintenance (RM)

• Good: requires RM plus preventive maintenance or spot regravelling or repairs

• Fair: requires RM plus periodic maintenance • Poor: requires RM plus strengthening or partial

reconstruction • Very Poor: requires RM plus full reconstruction

Road Condition Categories

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• Length of road sections (per category, traffic, condition) comprising the network

• Unit cost of road works • Selected country data (e.g., discount

rate, fuel cost, salaries, vehicle fleet, traffic growth rate)

RONET Main Input Data

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Road CurrentType Condition Current Asset Value Unit CostPaved Roads Very Good Construction Unit Cost

Good Construction Unit Cost - Preventive Treatment Unit CostFair Construction Unit Cost - Resurfacing Unit CostPoor Construction Unit Cost - Strengthening Unit CostVery Poor Construction Unit Cost - Full Reconstruction Unit Cost

Gravel Roads Very Good Construction Unit CostGood Construction Unit Cost - Spot Regravelling Unit CostFair Construction Unit Cost - Regravelling Unit CostPoor Construction Unit Cost - Partial Reconstruction Unit CostVery Poor Construction Unit Cost - Full Reconstruction Unit Cost

Earth Roads Very Good Construction Unit CostGood Construction Unit Cost - Spot Repairs Unit CostFair Construction Unit Cost - Heavy Grading Unit CostPoor Construction Unit Cost - Partial Reconstruction Unit CostVery Poor Construction Unit Cost - Full Reconstruction Unit Cost

Current Asset Value Calculation

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Budget Scenarios ConsequencesOptimal +2 Road WorksOptimal +1 Performance FinancialOptimal Assessment EconomicOptimal -1 ConditionOptimal -2 Asset ValueOptimal -3 Road UsersDo Minimum Etc.Do NothingCustom

RoadNetwork

Performance Assessment

What are the consequences of different budget scenarios?

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RONET evaluates alternative maintenance and rehabilitation road works standards for each road class

Road Classes StandardsVery High StandardHigh StandardMedium StandardLow StandardVery Low StandardDo Minimum StandardDo Maximum Standard

Road Work Standards

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0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

0 5 10 15 20

Year

Rou

ghne

ss (I

RI,

m/k

m)

Very High StandardHigh StandardMedium StandardLow StandardVery Low StandardDo MinimumDo Nothing

Asphalt Mix Roads Standards

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0

1,000

2,000

3,000

4,000

5,000

6,000

7,000

8,000

9,000

Do Nothing

Do Minimum

Do MinimumLow

Very LowMedium

High

Very High

Pres

ent V

alue C

osts

(M$)

Road Agency Costs Road User Costs

Total Society Costs

Optimal Standard

Least Total Society Costs

RONET determines optimal standard per road class

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Budget Scenarios Optimal + 2 Two standards above optimal standard per road class

Optimal + 1 One standard above optimal standard per road class

Optimal Optimal standard per road class

Optimal – 1 One standard below optimal standard per road class

Optimal – 2 Two standards below optimal standard per road class

Optimal – 3 Three standards below optimal standard per road class

Do Minimum Do minimum on all road classes

Do Nothing Do nothing on all road classes

Custom User defined standard per network type and traffic category

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Road Agency Costs Breakdown (Years 1-20)Annual Costs Years 1-20, M$/year

Network Scenario Rehabilitation Periodic Maint. Recurrent Maint. Road AgencyTotal Optimal +2 28.6 27.6 10.6 66.8Network Optimal +1 25.4 19.6 10.1 55.1

Optimal 19.6 18.4 7.7 45.7Optimal -1 21.5 11.2 8.1 40.8Optimal -2 17.9 10.5 8.5 36.8Optimal -3 16.1 11.9 3.4 31.4Do Minimum 6.9 8.5 2.4 17.7Do Nothing 0.0 0.0 0.0 0.0Custom 16.6 24.9 7.4 48.8

An Example of Consequences to the Road Agency

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Unit Road User CostsUnit Road User Costs ($/vehicle-km)

Network Scenario Current Years 5 Years 10 Years 20Total Optimal +2 0.328 0.298 0.298 0.296Network Optimal +1 0.328 0.299 0.301 0.306

Optimal 0.328 0.301 0.301 0.308Optimal -1 0.328 0.309 0.313 0.325Optimal -2 0.328 0.318 0.326 0.339Optimal -3 0.328 0.335 0.339 0.352Do Minimum 0.328 0.355 0.369 0.397Do Nothing 0.328 0.362 0.376 0.420Custom 0.328 0.312 0.315 0.311

Consequences to Road Users

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Society Costs (Total Costs Years 1-20)Total Costs Years 1-20, M$

Network Scenario Road Agency Road Users SocietyTotal Optimal +2 1,335 17,698 19,033Network Optimal +1 1,102 17,936 19,038

Optimal 913 18,026 18,939Optimal -1 817 18,794 19,610Optimal -2 735 19,491 20,226Optimal -3 629 20,360 20,989Do Minimum 354 22,027 22,381Do Nothing 0 22,896 22,896Custom 977 18,635 19,612

Consequences to Society

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Consequences to Road Network Condition: Roughness (IRI in m/km)

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Road Works Details (M$) Other Tables for: ($/km-year) ($/veh-km) (km/year) per surface class and surface type

Years 1-5 Years 6-20Road Agency Costs (M$/year) Road Agency Costs (M$/year)Network Paved Unpaved Total Percent Network Paved Unpaved Total PercentMotorways 0.0 0.0 0.0 0% Motorways 0.0 0.0 0.0 0%Primary 27.0 2.7 29.8 33% Primary 10.4 1.5 11.9 39%Secondary 11.1 23.0 34.1 38% Secondary 3.1 10.1 13.2 43%Tertiary 0.0 27.1 27.1 30% Tertiary 0.0 5.4 5.4 18%Total 38.2 52.9 91.0 100% Total 13.5 17.0 30.5 100%Percent 42% 58% 100% Percent 44% 56% 100%Rehabilitation Costs (M$/year) Rehabilitation Costs (M$/year)Network Paved Unpaved Total Percent Network Paved Unpaved Total PercentMotorways 0.0 0.0 0.0 0% Motorways 0.0 0.0 0.0 0%Primary 13.1 2.3 15.3 24% Primary 3.2 0.0 3.2 65%Secondary 9.2 16.7 25.9 41% Secondary 1.7 0.0 1.7 35%Tertiary 0.0 22.5 22.5 35% Tertiary 0.0 0.0 0.0 0%Total 22.2 41.5 63.7 100% Total 4.9 0.0 4.9 100%Percent 35% 65% 100% Percent 100% 0% 100%Periodic Maintenance Costs (M$/year) Periodic Maintenance Costs (M$/year)Network Paved Unpaved Total Percent Network Paved Unpaved Total PercentMotorways 0.0 0.0 0.0 0% Motorways 0.0 0.0 0.0 0%Primary 12.1 0.2 12.2 63% Primary 5.4 1.2 6.5 36%Secondary 1.4 3.0 4.4 22% Secondary 0.9 6.8 7.7 43%Tertiary 0.0 2.9 2.9 15% Tertiary 0.0 3.8 3.8 21%Total 13.4 6.1 19.6 100% Total 6.2 11.8 18.0 100%Percent 69% 31% 100% Percent 35% 65% 100%Recurrent Maintenance Costs (M$/year) Recurrent Maintenance Costs (M$/year)Network Paved Unpaved Total Percent Network Paved Unpaved Total PercentMotorways 0.0 0.0 0.0 0% Motorways 0.0 0.0 0.0 0%Primary 1.9 0.3 2.2 28% Primary 1.9 0.3 2.1 28%Secondary 0.5 3.3 3.8 50% Secondary 0.5 3.3 3.8 50%Tertiary 0.0 1.7 1.7 22% Tertiary 0.0 1.7 1.7 22%Total 2.5 5.2 7.7 100% Total 2.4 5.2 7.6 100%Percent 32% 68% 100% Percent 31% 69% 100%

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Road User Charges

Road User ChargesPerformance Assessment Fuel Consumption

Vehicle Registration FeesLicense FeesRoad Damage Fees

Routine Maintenance Distance Travel FeesPeriodic Maintenance International Transit Revenues

Rehabilitation Toll Revenues+ Foreign Vehicle Permit Revenues

Administration Vignettes RevenuesImprovements Carbon Taxes Revenues

Other Traffic Enforcement Revenues= Other Fees and Taxes Revenues

Total Funding Needs Total Revenues

Funding Gap

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• Review RONET’s User Guide • RONET familiarization interactive

exercise • Obtain as realistic as possible

information on a road network of each participating country

• Develop an optimum road network M&R program for the selected network

• Prepare a brief report and present the results

Next steps

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Cesar Queiroz Consultant, former World Bank Highways Adviser Tel +1 301 755 7591 [email protected] Washington, DC, USA