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Managing Traffic Incidents - University of Queensland

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A Management Tool for Investigating<br />

Road Investment Choices<br />

by Gary Hayes and Brad Lawrence, Booz·Allen & Hamilton<br />

R<br />

oads are big business, with the<br />

operational and capital budgets <strong>of</strong><br />

road's authorities in developed<br />

countries <strong>of</strong>ten approaching or<br />

exceeding the turnover <strong>of</strong> the largest global<br />

commercial corporations. In addition, the<br />

political pressure for the efficient and effective<br />

allocation <strong>of</strong> public funds requires the<br />

optimal allocation <strong>of</strong> these scarce financial<br />

resources to road maintenance and capital<br />

works programmes. Very <strong>of</strong>ten, the commercial<br />

principles, and hence financial transparency,<br />

within which road's authorities are<br />

expected to operate make it critically important<br />

for them to be able to justify and motivate<br />

spending allocations.<br />

HDM-4 is a planning and management tool<br />

developed for road's authorities to be able to<br />

make technical based financial road investment<br />

choices. The development <strong>of</strong> the HDM-4<br />

(Highway Development & Management) suite<br />

<strong>of</strong> programs was funded by the World Bank,<br />

and carried out at the <strong>University</strong> <strong>of</strong> Birmingham<br />

in the United Kingdom. Extensive further<br />

research into the physical and economic<br />

relationship <strong>of</strong> roads in India, Kenya, Brazil<br />

and the Caribbean have resulted a much<br />

improved product, and the latest (4 th ) version<br />

<strong>of</strong> the program <strong>of</strong>fers some improvements<br />

over version three, specifically:<br />

– effects <strong>of</strong> traffic congestion<br />

– simulation <strong>of</strong> rigid pavements and a range<br />

<strong>of</strong> flexible pavement types<br />

– effects <strong>of</strong> road texture and skid resistance<br />

– effects <strong>of</strong> freeze-thaw conditions<br />

– traffic safety effects<br />

– environmental impacts<br />

HDM-4 Applications<br />

Essentially HDM-4, based on the models <strong>of</strong><br />

road deterioration and maintenance, together<br />

with user cost inputs, determines the net<br />

financial benefits and hence enables project<br />

prioritisation to be determined within specified<br />

budget constraints. The economic analysis<br />

can be performed using the full life cycle<br />

approach (say 15 to 20 years), or the budget<br />

life cycle approach (say 3 to 5 years).<br />

HDM-4 enables the following types <strong>of</strong><br />

technical, economic and policy applications to<br />

be undertaken:<br />

– Individual project financial and technical<br />

evaluation<br />

– Project formulation<br />

– Road network maintenance needs forecasting<br />

– Road network upgrade programme formulation<br />

– Network strategic planning<br />

– Technical standards investigations<br />

– Vehicle policy investigations (e.g. axle<br />

limit investigations and road fleet changes)<br />

– Road use cost and damage attribution,<br />

particularly in the context <strong>of</strong> transport<br />

pricing and taxation<br />

It is important to note that HDM-4 is not a<br />

replacement for any existing management and<br />

planning tools, such as pavement management<br />

systems (PMS's), and nor is it a database tool.<br />

Rather, it should be seen as a complementary<br />

management tool, used in conjunction with<br />

other road infrastructure planning tools.<br />

HDM-4 Input Requirements<br />

To be able to fully utilise the program a substantial<br />

amount <strong>of</strong> input data is required. This<br />

data defines the road network, road conditions,<br />

maintenance resource data, productivity<br />

data, unit costs, economic parameters, fleet<br />

definition and volumes, environmental issues,<br />

maintenance cycles and road congestion<br />

levels. This data is <strong>of</strong>ten available from other<br />

sources, such as strategic transportation planning<br />

tools such as Emme/2 and TransCAD,<br />

pavement management systems, etc.<br />

An important aspect <strong>of</strong> the input, is the<br />

pavement deterioration pr<strong>of</strong>iles, which ideally<br />

should be based on historical pavement research<br />

and practical experience.<br />

16 DECEMBER 2001

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