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Disincentivising overbidding for toll road concessions

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DISINCENTIVISING OVERBIDDING FOR TOLL ROAD CONCESSIONS<br />

1.2 Background<br />

In the introduction to its recent consultation paper, the DIT states:<br />

Traffic <strong>for</strong>ecasts <strong>for</strong> some recent Australian <strong>toll</strong> <strong>road</strong>s have<br />

proved to be significantly inaccurate and over-optimistic. This<br />

has impacted on investor confidence, reducing the willingness<br />

of the private sector to accept patronage risk on <strong>toll</strong> projects.<br />

The DIT explains that this (over-optimism) has led to: ‘the diversion<br />

of scarce resources towards underper<strong>for</strong>ming investments and<br />

a dent in confidence to public-private partnerships (PPPs) in<br />

Australia.’ This concern <strong>for</strong>ms the backdrop to this study.<br />

The most recent investigation into, and analysis of, Australian <strong>toll</strong><br />

<strong>road</strong> traffic <strong>for</strong>ecasting per<strong>for</strong>mance is contained in the December<br />

2011 GHD/RBconsult report. Readers are directed there <strong>for</strong> a full<br />

discussion. In summary, the report highlights that:<br />

Photograph courtesy of Road and Maritime Services, NSW.<br />

••<br />

general procurement practice has encouraged the submission of optimistic—not accurate—projections of asset<br />

usage;<br />

••<br />

with the main concession parameters ‘fixed’ (project design, <strong>toll</strong> tariffs, tariff escalation <strong>for</strong>mulae, etc), bidding<br />

evaluation centred on traffic and revenue <strong>for</strong>ecasts as the key economic variables (the ‘points of competition’);<br />

••<br />

primary policy objectives of securing the largest upfront payment from the private sector (or requiring the<br />

minimum government subsidy), by themselves, exacerbate the trend <strong>for</strong> over-prediction;<br />

••<br />

the extent of over-prediction has been significant, with some assets per<strong>for</strong>ming at less than 50% of their original<br />

<strong>for</strong>ecasts;<br />

••<br />

traffic <strong>for</strong>ecasts may have been influenced by aggressive financing structures and the attendant requirements of<br />

financial models;<br />

••<br />

over-<strong>for</strong>ecasting has led to financial distress and the high-profile commercial collapse of some urban <strong>toll</strong> <strong>road</strong><br />

<strong>concessions</strong>;<br />

••<br />

traffic models can be used to produce optimistic projections of demand through a systematic selection of input<br />

variables drawn from the upper ends of their respective ranges;<br />

••<br />

bidding competitions have attracted parties which have a short-term focus, rather than being ‘in it <strong>for</strong> the long<br />

run’;<br />

••<br />

independent ‘peer reviews’ hold the potential to reduce over-optimism, or at least detect it, in advance of<br />

contract award.<br />

The GHD/RBconsult report also points out that over-<strong>for</strong>ecasting <strong>for</strong> <strong>toll</strong> <strong>road</strong> <strong>concessions</strong> is not restricted to Australia.<br />

As the authors identify through a brief literature review, this is an internationally observed phenomenon. The June<br />

2011 BITRE review, reflecting on additional research and studies, underscores exactly the same point. This suggests<br />

that the international community will also be looking at possible re<strong>for</strong>ms and remedies—hence the international focus<br />

of this report.<br />

8

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