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An Australian Perspective on Real-Life Cost-
Benefit Analysis
and Assessment
Frameworks for Transport Infrastructure Investments
Sae
Chia and
Jonathan
Bunkerb
Version of Record was 1 December 2021
a
Planning and Transport Research Centre, the
University of Western Australia (M261), 35 Stirling Highway, Perth, WA 6009,
Australia,
sae.chi@uwa.edu.au
b School of Civil
Engineering and Built Environment, Queensland University
of Technology, 2 George Street, Brisbane City, QLD 4000,
j.bunker@qut.edu.au
Corresponding author: Sae Chi at Planning and Transport
Research Centre, the University of Western Australia (M261), 35 Stirling
Highway, Perth, WA 6009, Australia.
Email:
sae.chi@uwa.edu.au
Acknowledgement
We would like to acknowledge the support of WA Department
of Transport, Queensland University of Technology, and the Planning and
Transport Research Centre (PATREC). We would also like to express our
gratitude to Professor Sharon Biermann and the anonymous reviewer for their
constructive comments.
Abstract
Cost-benefit analysis (CBA) is the most commonly used
economic assessment tool for transport infrastructure investments. There are
radically different approaches to its use across the world, highlighting the
need for local research. While CBA is extensively reported on in many
countries, an
Australian perspective
is less
commonly found.
This study
aims to
provide an Australian perspective on the use and efficiency of CBA in
transport infrastructure investment assessments. It examines the guidelines
used in practice and the CBA of real-life transport
projects in
relation to
the
costs
and benefits
considered in
CBA and
the CBA
as a
tool to inform investment decision making. This study identified the
implications for wider CBA use,
including the
practical issues
that should
be addressed
in guidelines and
the challenges
of implementing CBA outcomes in investment decision making. Improving
CBA practices and assessments of transport infrastructure investments
contributes to ensuring that investment decision making is well-informed.
Introduction
Cost-benefit analysis (CBA) is the most commonly used
economic assessment tool (Mouter, 2018;
van Wee
& Tavasszy,
2008) and
the most
coherent and
robust tool
available (Laird,
Nash, & Mackie, 2014). CBA is used extensively in the US, New
Zealand, England, Australia, Singapore,
Chile and Ireland
(Marcelo, Mandri-Perrott,
House, &
Schwartz, 2016).
This study aims to
provide an Australian perspective on the use and efficiency of CBA in
transport infrastructure investment assessment frameworks, by adopting a
holistic approach that examines the guidelines used in practice and
previously conducted CBA of real-life transport projects. The examination
will reveal the implications for wider CBA use, including the practical
issues that
should be
addressed in
guidelines and
the challenges
of implementing
CBA outcomes in investment decision making.
There are
radically different
approaches in
the use
of CBA
(Beria, Giove,
& Miele,
2012), highlighting the need for local research in CBA, accounting
for the specific geographical context. While CBA is used extensively in the
US, New Zealand, England, Australia, Singapore, Chile and Ireland (Marcelo
et al., 2016), the Australian context is not as well- studied
as elsewhere.
Conversely, particularly
in the
European, American
and Chilean
contexts, CBA has
received much
academic attention
(Annema, 2014;
Beria, Giove,
et al.,
2012; Beukers, Bertolini,
& Te Brömmelstroet, 2012; Godavarthy, Mattson, & Ndembe, 2015; Gómez-Lobo,
2012; Mackie, 2010; Quinet, 2010). Additionally, this study differs from the
previous studies that reviewed international guidelines (Mackie, Worsley, &
Eliasson, 2014) and compared the CBA methodology used in practice
(Chi, Bunker, & Kajewski, 2016) by examining the guidelines
and CBA
practices altogether,
and widening
the scope
by also
examining investment
assessment frameworks.
This study first raises questions (see
Table 1)
that are formulated as a result of the literature review conducted (Section
2) and then incorporated into the analytical framework developed and
applied. The questions relate to the costs and
benefits considered in CBA (Section
4) and
the CBA
as a
tool to
inform investment
decision making
(Section 5). Section
3 provides methodology, Section 6 provides results and discussion,
and a conclusion is formulated in Section 7.
The novelty of this study is that it brings the
Australian perspective which is relatively less referred to in the
traditional literature. Another merit of this is the review of real-life
projects, which
can reveal
tangible insights
into the
actual influence
of CBA
in
decision-making.
Improving CBA
practices and
assessments of
transport infrastructure
investments contributes to ensuring that investment decision making
is well-informed.
Literature
review
2.1
Strengths of
CBA
Transport infrastructure investments often require
considerable investment costs and their economic justification is crucial.
CBA is the most commonly used
economic assessment tool for
these investments (Mouter,
2018; van Wee & Tavasszy, 2008), and the most coherent and robust
tool available
(Laird et
al., 2014).
CBA can be
conducted along
with other
tools for the investment
to be assessed against multiple criteria, which is referred to as
multi-criteria assessment (MCA) when conducted systematically using systems
such as scoring.
CBA’s guard against double counting is particularly
valuable in avoiding exaggerated claims
(Laird et
al., 2014).
Also, CBA
improves the
planning process
by producing
a structured list of
benefits and costs (Mouter, 2017), and contributes substantially in
decision-making about
infrastructure investments
(Asplund &
Eliasson, 2016).
The results
of CBA
are expressed in monetary
costs and benefits of the infrastructure investment (van Wee & Tavasszy,
2008) and incorporate
the broad
perspectives of
users, non-users
and governments,
which can
provide comprehensive
assessments of
public-private
partnership (PPP)
projects (Decorla-Souza,
Lee, Timothy, &
Mayer, 2013).
This means
that trade-offs
of various
policies can
be assessed
using CBA which is valuable to decision-makers (Annema, Mouter, &
Razaei, 2015). CBA is used extensively
in the
US, New
Zealand, England,
Australia, Singapore,
Chile and
Ireland (Marcelo et al.,
2016).
2.2
Weaknesses of
CBA
CBA has
several weaknesses.
First, the
commonly highlighted
weakness of
CBA is
its inability to include
the costs and benefits that are difficult to
monetise (Annema & Koopmans, 2015; Mouter,
Annema, &
Van Wee,
2014). For
instance, CBA
cannot capture
the benefits
that arise from
land-use changes
(Börjesson, Jonsson,
Berglund, &
Almströmb, 2014;
Laird et
al., 2014). Also,
environmental impacts are excluded or not monetised in CBA, with
monetisation methods used in CBA unsophisticated (Annema & Koopmans, 2015;
Hwang, 2016).
Second, assessing multiple investment proposals together
in CBA is complex. When assessing and prioritising investments that must
consider government policies and long-term transport
planning objectives,
a challenge
is presented
when there
are multiple
investment proposals
of various
investment sizes
and scope.
Vickerman (2017)
also raised
the question
of how the improvements in a local network should be compared with
national improvements using CBA.
Aggregated effects
of many
small improvements
can be
exaggerated compared
to those of a single major investment and their assessment is more
intricate. Additionally, when the intervention is planned as part of a large
transport network improvement, the anticipated benefits may not arise until
all other proposed interventions are built and provided.
Third, capturing travel time reliability within
conventional CBA and traffic models is complex.
The value
of the
reliability depends
on trip
purposes and
destinations (Mackie,
2010), which means that each traveller would have various values that
cannot simply be modelled within conventional models. A more detailed
breakdown of trip purposes such as “heading in for an important meeting”
than simply “commuting” would be needed.
Fourth, one
study (Jones,
Moura, &
Domingos, 2014)
claims that
the residual
value (RV) is often
inaccurately calculated due to the range of different assets, each with a
different economic life. The RV reflects the remaining value of the assets
at the end of the appraisal
period.
Fifth, CBA assumes perfect competitions, while it is
rather imperfect in many contexts such as rail and air transport (Quinet,
2010). Also, this decision making presumes travellers know and do what is
best for them. That is, travellers have access to real-time journey
information and
always choose
the route
and mode
that offers
the shortest
travel time,
however, this is hardly the reality.
Finally, there are often many simplified assumptions in
CBA, using general parameter values
(Mouter et
al., 2014),
which can
result in
considerable uncertainty
in the
CBA outcome, particularly
when assessing large investments. Also, the consequences of using a
particular assumption are often inadequately
communicated (Annema & Koopmans, 2015). The lack of considerations
and communication of investment risks and uncertainties can lead to
misinformed decision making. One study (Beukers et al., 2012) suggests that
there can be a communication
deficit and
inferior cooperation
in CBA
practices which
are led
from mistrusts between
planners and CBA practitioners
towards each other and
the plan or
instrument which they represent.
2.3
Conducting CBA
as part of
an MCA
process
The most commonly suggested approach to overcome the
limitations of CBA is to conduct CBA
as part
of a
multi-criteria assessment
(MCA) process.
A full
assessment of
all
relevant impacts can be conducted
by combining the MCA with the
CBA (Beria, Maltese, & Mariotti, 2012a, 2012b). The MCA provides a
systematic process to consider an investment proposal from various
perspectives and the outcomes of various assessment tools. Essentially, MCA
allows both non-monetary and monetary attributes to be assessed within the
same framework without rejecting CBA, and has considerable potential for
application to mega infrastructure projects
and complex
urban projects
as risk
and opportunity
registers, that
usefully complement more
traditional appraisal methods (Dimitriou, Ward, & Dean, 2016).
A case
study that
combined CBA
and MCA
to assess
road projects (Gühnemann,
Laird, & Pearman,
2012) concluded
that MCA
facilitates a
closer alignment
between transport
policy and the tools used to support the application of that policy.
This suggests that strategic objectives can be incorporated into the
assessment. A study that reviewed cost-effectiveness analysis (CEA),
planning balance sheet (PBS), goal achievement matrix (GAM), as well as CBA
and MCA,
for infrastructure
investment prioritisation
(Dimitriou et
al., 2016),
suggested that the MCA framework offers both informing and
complementarity options to CBA. Also, another
study that
compared life-cycle
assessment (LCA),
social life-cycle
assessment (SLCA) and
rating systems, along with CBA and MCA as tools to assess the proposed
transport infrastructure investments (Bueno, Vassallo, & Cheung, 2015)
recommended using MCA along with these various tools to support
sustainability assessment.
Many countries use comprehensive assessment frameworks
that combine CBA with other assessment tools to include both monetised and
non-monetised costs and benefits (Mackie et
al., 2014). This was not the case in another study (Hickman & Dean, 2018)
which reviewed CBA for a road project and a rail project in the UK, and
claimed that CBA prevails in the decision-making of investments, therefore,
lacking many intangible factors.
Methodology
This study aims to provide an Australian perspective on
the use and efficiency of CBA in transport infrastructure investment
assessment frameworks, including the aspects of the
costs and benefits
considered in
CBA and
the CBA
as a tool
to inform
investment decision
making.
Figure
1
illustrates the
study methodology.
This study
adopts a
holistic approach
by examining the
guidelines used in practice and the CBA of real-life transport projects. It
first raises two sets of questions which are formulated through the
literature review (see Section 2). The questions
are incorporated
in the
analytical framework
used in
this study
(see
Table
1); and
are investigated by
reviewing investment
assessment guidelines
and relating
documents,
CBA guidelines and the reports
of previously conducted CBA.
Table 1
also ensures that the investigation is undertaken systematically. Finally,
through the investigation, this study identifies the implications for wider
CBA use, including the practical issues that should be addressed in
guidelines and the challenges of implementing CBA outcomes in investment
decision making. Note that the review particularly focuses on the Australian
CBA practices. For instance,
when reviewing whether the
costs and benefits that are
difficult to be monetised
are included, whether they are discussed in the guidelines and if they are
included in the previously conducted CBA will be investigated, instead of
what other studies claim can be or should be included in CBA.

Figure
1 Study
methodology
Question
Questions raised
based on
Costs
and benefits
considered
in CBA
Investment assessment
guidelines and
relating documents
CBA
guidelines
Reports
of previously conducted
CBA
Are
costs
and benefits
that are difficult to be monetised included in CBA? If so,
how?
How
are residual
values (RV) measured and included in CBA?
Is travel time reliability
benefit included
in CBA? If so, how?
Are impacts due to imperfect
competitions included in
CBA? If
so, how?
Annema
and Koopmans (2015),
Börjesson et al. (2014), Hwang (2017),
Laird
et al.
(2014) and Mouter et al.
(2014)
Jones
et al.
(2014)
Mackie
(2010)
Quinet
(2010)
NA
Examined
Examined
NA
Examined
Examined
NA
Examined
Examined
NA
Examined
Examined
CBA
as a
tool to
inform decision
making
How
are CBA
results used in investment
decision making?
How are multiple proposals
assessed and
prioritised?
Is
communication lacking in
CBA reports? If so, which part
of the
analysis is lacking specifically?
How are risks and uncertainties
assessed in CBA and how
are they communicated?
Vickerman
(2017)

Vickerman
(2017)
Annema and Koopmans (2015)
and Beukers
et al.
(2012)
Annema
and Koopmans (2015)
and Mouter
et al.
(2014)

Table
1 Analytical
framework
3.1
Reviewing investment
assessment guidelines
and relating
documents
Various investment assessment guidelines and relating
documents including the frameworks that are used in practice are examined.
Also, the frameworks used at federal-level and state- level are reviewed for
comprehensiveness. It is important to note that some frameworks may be used
across sectors and are, not specific to transport.
3.2
Reviewing CBA guidelines
CBA guidelines including the Australian guidelines (at
both federal- and state government- levels)
and those
from the
EU, New
Zealand (NZ),
the UK
and the
US are
examined. This
will reveal the parameters
and methodologies provided in the guidelines. Infrastructure Australia (IA)
is the federal-level statutory body with a mandate to prioritise nationally
significant infrastructure investments (Infrastructure Australia, 2019).
Australian Transport Assessment and Planning (ATAP) guidelines provide best
practice for transport planning and assessment in Australia and are endorsed
by all Australian jurisdictions (Australian Department of Infrastructure
and Regional
Development, 2019).
At the
state level,
agencies such
as Building Queensland (BQ),
Transport for New South Wales (TfNSW), and Queensland Department of
Transport and
Main Roads
(QTMR) play
similar roles
in the
transport infrastructure
investment assessment and
prioritisation process.
These bodies
provide guidance
documents, to
which, for simplicity, we
refer to as: the IA guideline (Infrastructure Australia, 2018), the BQ
guideline (Building Queensland, 2016), the TfNSW guideline (NSW Government,
2018), the QTMR guideline (Queensland Department of Transport and Main
Roads, 2011) and the ATAP guideline (Australian Transport and Infrastructure
Council, 2016, 2018) in this paper. Most guidelines have been recently
updated and would reflect the latest advice by the Australian transport
authorities. Additionally, for simplicity, the international guidelines
reviewed here are referred to as: the EU guideline (European Commission
Directorate-General for Regional and Urban Policy, 2014), the NZ guideline
(NZ Transport Agency, 2018), the UK guideline (UK Department of Transport,
2018a, 2018b) and the US guideline (US Department of Transportation, 2018).
3.3
Reviewing the
reports of previously
conducted
CBA
CBA is conducted differently according to the type of
intervention. Toll road projects adopt traditional
and well-established
road CBA
methodology, and
yet, contain
an additional
level of complexity by
incorporating tolls. As a result, the guidance provided for this type of
project should be comprehensive and the analyses conducted in the practice
should also be thorough and consistent with each other. Therefore,
previously conducted CBA for
Australian toll road projects are
examined. The purpose of the review is not for post-completion
reviews, rather it compares the reports to each other and examines whether
they follow the guidelines.
Detailed CBA reports are often included in the appendices
of final business case documents
and many
are not
publicly available.
Also, Australia
has fewer
toll roads
compared to other
countries such
as the
UK and
the US,
which further
limits the
number of
CBA reports for toll road
projects that are available for comparison. Seven toll road CBA (completed
between 1996
and 2018)
are selected
here based
on their
availability and
the level
of
detail sufficient to conduct the
review.
Table 3
summarises toll road projects reviewed in this study and the abbreviations
for each project, which include both already delivered and opened projects,
and those still in the
planning or
construction phases. The
projects are located across three
Australian states where toll roads are implemented: Queensland, NSW and
Victoria.
Costs
and benefits
considered in CBA
For clarity,
the following
sections discuss
technical details
of the
guidelines and
the previously conducted
CBA without
referencing.
Table
6,
Table
7 and
Table
8 provide
the original
sources and details.
4.1
Costs
and benefits that
are difficult to
be
monetised
Environmental and externality impacts
are difficult to be monetised as valuing them requires non-market values to
be estimated, which is complex (Australian Department of the Prime Minister
and Cabinet, 2014). Also, across
international guidelines, there is no common
understanding of what kind of environmental and
externality impacts should be included in CBA. For example, the EU
guideline only provides recommended values for various air pollutions, while
the NZ and Australian guidelines provide a long list of values for different
environmental and externality impacts, not
limited to air pollutions. Austroads guidelines (Evans
et al.,
2014; Tan,
Lloyd, &
Evans, 2012)
have been
often referred
to in
the CBA
reports. However, Austroads advises not to use these values due to
concerns over the emission data (Austroads,
2015). This
means that
there are
no standard
environmental
and externality
impact values available for practitioners in Australia.
The toll road CBA did not include
any other costs and benefits that are
difficult to be monetised. Also, the guidelines did
not provide guidance on any other costs and benefits that are difficult to
be monetised.
4.2
Residual value
(RV)
Many guidelines provide the well-established
straight-line depreciation (SLD) method to estimate
RV, which
has been
used in
the previously
conducted CBA.
However, with
regard to whether the RV
should be included, the guidelines advise two different approaches. One is
to adopt an appraisal period between 30 to 50 years depending on the asset
type and assume the RV to diminish by the end of the appraisal period.
Another is to adopt an appraisal period shorter
than 30
years and
include the
RV in
the CBA.
RVs have
been either
considered
to diminish at the
end of an appraisal period
or omitted altogether
in NL2, AL2 and MCL,
while they have
been consistently
included in
more recent
analyses. The
reports of
the three
projects do not specify whether this is due to the length of the
appraisal period or different RV assumptions. Other reports explain that the
SLD method has been used to estimate RV, calculated by summing the RV of
each asset item, using different economic life and costs for
each.
In addition to RV, discount rates and appraisal period
lengths are also important assumptions
as they
all interact
with each
other. The
discount rates
used in
NL2, PL2
and MCL differ
between each
project; while
more recent
analyses adopted
the same
discount rate
of 7%. This
indicates the
establishment of
consistent discounting
policies over
the years.
Additionally, the reports lack justification for using a specific
discount rate. In the guidelines, inconsistent advice on the discount rate
is given in Victoria, which would require four different BCR (i.e. 7% for
the IA requirement, 6% for the state requirement, and 4% and 10% for
sensitivity analysis) as a
result. While
the length
of the
appraisal period
should be
the same
or similar
for the same type of intervention, the lengths adopted in the
previously conducted CBA vary. Therefore, inconsistent guidance on the
appraisal period occurs in the guidelines.
4.3
Travel time
reliability benefit
and the
impacts due
to imperfect
competitions
In the previously conducted CBA, recent analyses included
travel time reliability and congestion
improvement benefits.
However, different
benefit estimation
methods were
used in the analyses and
the Australian guidelines do not provide guidance on how to estimate the
benefits. The methods also did not consider varying benefits between trip
purposes and destinations. Some international guidelines provide guidance on
travel time reliability (NZ Transport Agency, 2018; UK Department of
Transport, 2018a, 2018b).
In the
previously conducted
CBA, recent
analyses included the
impacts due
to imperfect competitions
as part of wider economic benefits, which is consistent with the UK guidance
(UK Department of Transport, 2018a, 2018b).
CBA
as a tool to inform the decision
making
For clarity,
the following
sections discuss
technical details
of the
guidelines and
the previously conducted
CBA without
referencing.
Table
6,
Table
7 and
Table
8 provide
original sources
and details.
5.1
Using CBA
results in
infrastructure investment
decision
making
Transport infrastructure investment assessment frameworks
used in Australia adopt an MCA approach that includes CBA as an economic
assessment tool. The MCA approach is also included in government and
multilateral project appraisal and selection practice in regions including
the Pacific Island Countries and Argentina, as well as Chile, Ireland, and
the UK (Marcelo et al., 2016).
Table 4
summarises the decision criteria
used in Australia. The
criteria highlight the weaknesses of the MCA approach including potential
for double counting and subjectivity. For
instance, “service need”
and “strategic alignment”
can go both ways without
clear definitions (e.g. the service is needed as it aligns with the
government’s strategic objectives). The business case document that is used
for the assessment generally includes a set of analyses. For instance, the
submission requirements for the Commonwealth funding include CBA, a
probabilistic risk-adjusted cost estimate that is used in the CBA and in the
funding request, a financial model, a delivery plan, analysis of the scope
of private funding where government funding is likely to be sought; and
independent reviews of the risk-based cost estimate, risk assessment, demand
models and economic appraisal (Infrastructure Australia,
2018). The
commonly discussed
criticism of
CBA is
that it
prevails in
the decision- making of
investments, therefore, lacking many intangible factors (Hickman & Dean,
2018). However, the Australian frameworks evidently include a variety of
analyses and do not only rely on CBA outcomes.
Generally, assessment tools such as CBA and MCA are used
to select good investment proposals
(OECD, 2011).
Many studies
exist that
assess accuracies
of CBA
(Odeck &
Kjerkreit, 2019) and
inaccuracies due
to misrepresentations
of costs,
benefits and
risks (Flyvbjerg,
2007b; Flyvbjerg, Holm, &
Buhl, 2002).
The sources
of inaccuracy
can be
explained as
optimism bias and
strategic misrepresentation, which are particularly evident in mega projects
(Flyvbjerg, 2007a). However,
in Australian
practice, the
focus is
more on
the prioritisation
of the
proposals rather than the accuracy. As shown, the Western Australia
(WA) framework (see Section 5.2) does
not contain
post-completion reviews.
The framework
contains numerous
review processes for MCA
score moderations to ensure fair and consistent assessments.
5.2
Assessing multiple
investment
proposals
The WA
Transport Portfolio
uses a
comprehensive framework
to assess
and prioritise
transport infrastructure
investments (see
Figure
2). In
WA, the
assessments and
submission requirements
of the
agency-prioritised
investments are
prepared by
each proponent
agency. The
proposals are
combined as a long
list and are scored
against the Portfolio decision
criteria which consist of six
criteria supported by criteria scoring guidance (see
Table 4)
(WA Portfolio Investment Coordination, 2017). Then, multiple agencies and
subject experts review the scores to ensure consistent and fair scoring. The
prioritisation is based on the average score, along with investment costs
and BCR. Once assessment and prioritisation have been conducted, a set of
short summaries of the prioritised investment proposals will be submitted to
the Transport Minister for
budget approval.
The summary
contains the
key outcomes
of analyses
that are
not limited to CBA. The non-prioritised proposals can be considered
for the next round prioritisation.
Because each proposal is prepared by each proponent
agency, interactions with other investment
proposals are
often less
discussed in
the proposal
in WA.
Additionally, the
specific direction is
lacking in
the guidelines
with regard
to how
other uncommitted
investments should be
addressed in the proposal. For instance, the IA guideline advises that
inclusion of other complementing projects depend on the level of commitment
made and an assessment of realistic
probabilities, which
essentially leave
this issue
to be
dealt on
a case-by-case
basis, and can
potentially result in misestimations of costs and
benefits. When uncommitted investment proposals are excluded in CBA,
it can ignore the benefits that arise from the overall network improvements
that could also be achieved through multiple road interventions over a
number of years.
5.3
Communicating CBA
and its
results
While
justifications on
choosing specific
parameter values
are lacking
in the
CBA reports,
the standard of CBA and its reporting have improved over the years as
shown in
Table 8
and the original documents.
For instance,
more detailed
information is
now generally
included in
CBA documents, which suggests improvements in the Australian
guidelines and building on practical experiences. The analysis has become
more comprehensive by including additional benefits that are not established
in the Australian guidelines. This indicates the efforts being made by CBA
practitioners to learn from international guidelines. However, conducting a
complete CBA
requires expertise
in both
transport engineering
and economics.
Many recently conducted
CBA have been conducted by accounting firms including KPMG and PWC, while
traffic modelling has been conducted by an engineering firm such as VLC (see
Table 8).
As interpreting traffic modelling outcomes require another set of expertise,
how well they are interpreted by the CBA practitioner requires further
study.
5.4
Assessing risks and
uncertainties
In the previously conducted CBA, sensitivity analysis has
been conducted to assess risks and uncertainties. The
sensitivity analysis
assesses the sensitivity of
uncertain analysis inputs, and is
useful when
resources and
data are
lacking to
conduct the
stochastic CBA.
For a
typical road project,
it includes
(but not
limited to)
project costs,
traffic volume,
travel time
saving and
other project-specific inputs. The values tested in the sensitivity
analysis in the CBA are consistent with those listed in the
guidelines. The sensitivity of other assumptions beyond what is recommended
in guidelines is however not analysed, which may pose risk as other crucial
assumptions should also be analysed. Additionally, the CBA reports all
showed a lack of justifications on choosing the parameter values and
underpinning assumptions. It was unclear how
and why
each project
used certain parameter
values or
data due
to a
lack of
explanations. In particular, the lack of justifications on using a
specific annualisation factor and the linear growth interpolation method is
evident in the CBA reports.
Traffic modelling generally models peak-time traffic,
therefore, CBA requires an annualisation
factor to “spread” the peak time traffic over a day-long or annual basis.
The annualisation factors used in the previously conducted CBA vary between
275 to 345 days, which some
of these
seem excessive
as the
ATAP guidelines
advice 285
days. Overestimating the
annualisation factor
directly lead
to benefit
overestimation. Some
CBA reports
argued that the
factor has
been estimated
based on
an assumption
that weekday
and weekend
traffic volume is
similar. This is true if the traffic model accommodated all-day traffic
including both peak time volume and off-peak time volume. Adopting higher
annualisation factor would result in higher benefits.
The linear growth interpolation method is used in many
projects. However, this can be seen
as an
optimistic assumption
from the
traffic engineering
point of
view. Traffic
modelling generally adopts compound growth, which is based on the
fact that the population generally follows
compound growth
and traffic
volume should
also follow
a similar
trend. Adopting
the linear growth assumption would result in higher benefits.
Results
and discussion
6.1
Results
The comparison tables of the guidelines reviewed are
included in the Appendix (see
Table 6,
Table 7
and
Table 8)
which are then summarised in
Table 5.
Based on these observations, findings are generated and summarised in
Table 2.

Question
Finding

Costs
and benefits
considered
in CBA
Are
costs and benefits that are
difficult to
be monetised included in
CBA? If so, how?
How are residual values (RV)
measured and
included in CBA?
Is travel time reliability
benefit included
in CBA?
If so, how?
Are impacts due to imperfect
competitions included in
CBA? If
so, how?
Yes,
for
environmental
and externality
impacts. Most
of the
CBA included
a wide range of environmental and
externality impacts. A wide range of
environmental and externality parameter values is included in many
guidelines. However, there are currently no
reliable emission parameters values provided in the Australian guidelines.
RV
has been
either included using
the SLD
method or
has been
assumed to
be diminished by the end of the appraisal period. Many guidelines
provide a
well-established
RV estimation
method.
Recent CBA
included the travel time reliability benefit. While in Australia,
only the
TfNSW guideline
(NSW Government,
2018) provides
guidance on travel time
reliability benefit estimation, international guidelines (the NZ guideline
(NZ Transport Agency, 2018) and the UK guideline (UK Department of
Transport, 2018a, 2018b)) provide guidance.
Recent
CBA included
the impacts
due to
imperfect competitions
as part
of wider economic impacts. This is in line with the latest guidance
as some guidelines recommend to do so.
CBA
as a
tool to
inform decision
making
How
are CBA
results used in
investment decision making?
How
are multiple
proposals assessed and prioritised?
Is
communication lacking
in CBA reports? If so, which part of the analysis is lacking
specifically?
How are risks and uncertainties
assessed in CBA and how
are they communicated?
Australian
frameworks assess
investment proposals
using an
MCA approach. CBA is
included as a tool to assess economic impacts. CBA outcome is considered
based on BCR and/or the comprehensiveness of the analysis
undertaken.
The same framework and set of
decision criteria are used across all investment
proposals, regardless
of their
size and
scope. The
current guidance advises
omitting uncommitted investments in CBA. The CBA reports lack overarching
view on interactions between projects.
Yes. An overarching view of the
project from the economic analysis perspective
is lacking.
Guidance on
report writing
is significantly
lacking.
Explanations and reasoning of
adopting specific assumptions are lacking in the CBA reports. They often
only include a summary of CBA sensitivity analysis
results, and
lacks an
overarching view
of the
project and
discussions on consequences of the assumptions. The guidelines advise
considering the sensitivity of analysis assumptions, however, lack guidance
on communicating consequences.

Table
2 The
Australian perspective
on CBA
of transport
infrastructure
investments
6.2
Implications due
to the
costs
and benefits
considered in CBA
As a discount rate of 7% is generally used in Australia,
benefits become negligible at the end of the appraisal period when the
period is long. Adopting a shorter appraisal period can overestimate the RV.
In theory, RV should never be used to justify
the investment. Therefore the length of the appraisal period and RV
are important assumptions and further guidance on these need to be provided.
Invalid assumptions can lead to overestimations of the benefit.
Estimating travel time reliability benefit can be complex
as it depends on trip purposes and
destinations (Mackie,
2010). Recent
CBA considered
and included
the benefit
by adopting the NZ and
UK’s methods, which, however, do not address the complexity. Although the IA
guideline advice
needs to
include all
relevant
costs
and benefits
that can
be monetised,
it should emphasise that
care needs to be taken when estimating the impact using a method that is not
yet well-established as it can lead to misestimations.
6.3
Implications when
using CBA
as a
tool to
inform the
decision
making
In Australian practices, more focus is given on
investment prioritisation than the accuracy of CBA, which can be driven by
two key factors. One is ever-increasing costs and demand for transport
infrastructure. Although transport infrastructure investments attract most
funding across sectors
(Infrastructure
Partnerships Australia,
2019), increasing
population and
growing traffic volume demand more
funding. The existing infrastructure
is aging and separate budget needs to be allocated for necessary
maintenance and rehabilitation works, which further decreases the amount of
funding that can be spent on new investments. Within the limited budget, not
all good investments can be funded. Second, due to the budget constraints,
as a result, the
proposals that
reach the
final business
case stage
are likely
already deemed
beneficial to society with benefit-cost ratio (BCR) above 1.0 in
Western Australia (WA). Generally, in Australia, several analyses, including
feasibility assessment, options analysis and rapid economic assessment are
conducted before the proposal requires a detailed CBA. Any unbeneficial
proposals would be identified in the early stage and are unlikely to
progress through the planning process unless it has a strong justification
to do so, such as election commitments. To use CBA for prioritisation, one
suggested having a cut-off BCR value (Mackie, 2010) and others (Deloitte,
2012; Marcelo et al., 2016) propose using MCA scores for investment
prioritisation.
The challenge of assessing multiple investment proposals
is evident in practice. As shown
in previously
proposed frameworks
(Deloitte, 2012;
Marcelo et
al., 2016),
the
challenge is due to the
limitation of the MCA approach. Using the same set of decision criteria for
all types of
transport investment
proposals can
lead to
inaccurate or
flawed assessments
depending on how
they are
defined. However,
using flexible
criteria can
lead to
unfair assessments.
Also, the decision criteria often are designed to assess each
proposal individually and cannot incorporate interactions with other
proposals. While the current advice is to omit any uncommitted investments,
omitting other relevant initiatives and projects can lead to
underestimations of
benefits. Assessing
small and
large projects,
and projects
that are
different in nature
such as
road projects,
public transport
projects and
active travel
projects altogether
is extremely complex.
Similar to Dutch studies (Annema &
Koopmans, 2015; Mouter et al., 2014), the lack of communicating risks
and uncertainties is evident in the Australian practices. Sensitivity
analysis is generally conducted, however, it lacks comprehensiveness. The
previously conducted CBA also showed limitations that can lead to benefit
overestimations, such as annualisation factors and data interpolation
methods. As quantitative risk assessment such as stochastic
CBA requires
extensive data
and resources,
the practice
needs to
improve to
include a qualitative risk assessment.
Conclusion
This study used a set of questions that relates to two
considerations: the costs and benefits
considered in the CBA; and the CBA as a tool
to inform investment decision making. It investigated an Australian
perspective on the use and efficiency of CBA in transport infrastructure
investment assessment frameworks. Through the investigation, this study
revealed the implications for wider CBA use.
First, this study highlighted the practical issues that
should be addressed in CBA guidelines, including the assumptions related to
RV, appraisal period, discount rate, and the estimation of travel time
reliability benefit. Further work is needed in this space to avoid potential
benefit overestimations as a result.
Furthermore,
this study
also highlighted
the challenges
of implementing
CBA outcomes in
investment decision
making. The
investigation revealed
that the
Australian practice
focuses more on investment prioritisation than the accuracy of CBA,
however, it also highlighted the complexity of assessing multiple investment
proposals using the CBA outcomes. Although some
studies (Deloitte,
2012; Marcelo
et al.,
2016) propose
to utilise
MCA scores
for
the prioritisation, designing a
comprehensive set of MCA criteria that are appropriate for a wide range of
transport projects is extremely complex. Further
research is needed to address this limitation of the MCA and the CBA.
Another limitation that was identified is the lack of comprehensiveness of
the tool used for the risk assessment. Further research is needed to
identify a
method that
is more
comprehensive than
sensitivity analysis
and does not
require as much data and
resources as stochastic analysis.
Improving CBA practices and the transport infrastructure
investment assessment frameworks contribute to ensuring that investment
decision making is well-informed and public funds are invested wisely.
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Appendix

Project
Type of
intervention
Cost
(undiscounted, nominal
P50, Dec-2019 prices)
BCR
NPV
(Dec- 2019
prices)
Project outcome
Reference
Monash
Provisions
of
Option
3A:
$0.71b
Option
Option
3A:
Funding
is
(Major
|
Freeway Upgrade (MUP) |
additional lanes and
new shared
paths |
Option 3B:
$0.59b |
3A:
4.6
Option
3B:
3.9 |
$1.96b
Option
3B:
$1.33b |
approved;
listed on the Infrastructure
Priority List as a high
priority |
Road
Projects Victoria, 2019;
PwC,
2018) |
|
North
East |
Provisions of
a |
$16.63b |
1.3 |
$2.30b |
Waiting
for |
(Ernst
and |
|
Link |
new
freeway |
|
|
|
planning |
Young, |
|
(NEL) |
with sections
of |
|
|
|
approval; |
2018; |
|
|
tunnels
and |
|
|
|
listed on
the |
North
East |
|
|
dedicated |
|
|
|
Infrastructure |
Link |
|
|
busway |
|
|
|
Priority
List |
Authority, |
|
|
|
|
|
|
as
high |
2019) |
|
|
|
|
|
|
priority |
|
|
WestConn |
Widening, |
$18.29b |
1.71 |
$9.42b |
Under |
(KPMG, |
|
ex
(WCX) |
duplication
and |
|
|
|
construction |
2015; |
|
|
extension of
the |
|
|
|
|
WestConne |
|
|
existing |
|
|
|
|
x,
2019) |
|
|
freeways |
|
|
|
|
|
|
Western |
Provisions of
a |
Undiscounted
cost |
State |
State |
Under |
(PwC, |
|
Distributo |
new
freeway |
not
documented |
guideline |
guideline: |
construction |
2015; West |
|
r
(WSD) |
with sections
of |
|
:
1.3 |
$1.16b |
(now
called |
Gate |
|
|
tunnels and additional
lanes |
|
IA guide:
1.9 |
IA
guide:
$3.32b |
West Gate
Tunnel) |
Tunnel Authority, 2019) |
|
Northern |
A provision
of
a |
$3.23b |
1.2 |
$0.71b |
Delivered |
(SKM
& |
|
Link |
new
freeway |
|
|
|
(now
called |
Connell |
|
Phase
2 |
(tunnel) |
|
|
|
Legacy
Way) |
Wagner, |
|
(NL2) |
|
|
|
|
|
2008) |
|
Airport |
A provision
of
a |
$4.24b |
1.1 |
$0.18b |
Delivered |
(SKM
& |
|
Link |
new
freeway |
|
|
|
|
Connell |
|
Phase
2 |
(tunnel) |
|
|
|
|
Wagner, |
|
(AL2) |
|
|
|
|
|
2006) |
|
Melbourn |
Provisions of
a |
$5.41b |
2.04 |
$2.49b |
Delivered |
(The
Allen |
|
e
City |
new
freeway |
|
|
|
|
Consulting |
|
Link |
with sections
of |
|
|
|
|
Group, |
|
(MCL) |
tunnels
and |
|
|
|
|
1996) |
|
|
widening
of |
|
|
|
|
|
|
|
existing |
|
|
|
|
|
|
|
freeways
and |
|
|
|
|
|
|
|
arterial
roads |
|
|
|
|
|
Table
3 Summary
of previously
conducted CBA
that are
reviewed
Scope
Government/statutory
body
Decision
criteria
Nationally significant investments
Western
Australia
(WA)
Infrastructure Australia (2019)
WA Portfolio
Investment Coordination
(2017)
·
Strategic
fit
·
Deliverability
·
Economic,
social and
environmental
value
o
Economic
impact: This includes limiting productive capacity;
reducing productivity;
constraining economic
capability; constraining global competitiveness; safety
impacts.
o
Social
impact: Including problems which result in, maintain
or exacerbate
major issues
of social
exclusion and/or quality of life, such as access to services and
employment and safety
o
Environmental
impact: Including issues such as greenhouse gas emissions, waste creation,
noise pollution, visual intrusion, heritage impacts and more
·
Strategic
alignment
o
To what
extent does the proposal contribute to government policy and transport
service delivery objectives?
·
Criticality
and
urgency
o
How critical
are the consequences of delaying the investments to government services?
·
Economic
outcomes
o
How valuable
are the economic benefits to the government
and does
the investment
demonstrate value for
money?
·
Social
outcomes
o
What
is the
scale and
extent of
the social
benefits of
the investment?
·
Achievability
o
Is
the investment
proposal likely
to be
supported by
key stakeholders or face significant opposition?
·
Maturity
and
deliverability
o
How well
developed is the preferred solution and how mature is the investment
proposal?
New South Wales
(NSW)
Deloitte
(2012)
Strategic
objectives
·
Infrastructure
flexibility
o
Can assets be
used in a way
that demand or supply can
become more scalable?
·
Reliability
o
Will
quality, availability
and compliance
with standards improve
with the investment?
·
Capacity
o
Will
investment allow
current and future demand to be met or promote economic development?
·
Legibility
o
Will
the asset or system be
easier and more convenient to use?
·
Cost
of living
and doing
business
o
Will
investment save time or reduce the cost of living or doing business?
·
Amenity
and
liveability
o
Will
the investment
improve comfort,
happiness, social
cohesion and the environment?
Queensland
Queensland Treasury
(2017)
Queensland
Building Queensland
(2013)
·
Economic
efficiency
o
Are
economic
benefits likely to
exceed
economic
costs?
Infrastructure
NSW project
assurance
objectives
·
Strategic
alignment
o
Is
there a
clear alignment
with key
government and
departmental policies and strategies?
·
CBA
o
How
robust is
the
CBA?
·
Level
of
planning
o
How
advanced is
planning, design
and technical
feasibility?
·
Complements
and
alternatives
o
Have
other alternatives
been considered?
Does the project enable
benefits for other projects?
·
Social,
economic and
environmental
impacts
o
Are
there significant
non-monetary social,
economic and environmental impacts?
·
Project
management
o
Is
there a
project team/agency
with appropriate
skill and experience to
manage/monitor/deliver?
·
Major
risks
o
Have all
major risks been identified? If so, is there a
strategy to mitigate major risks?
·
Stakeholder
support
o
Have
issues raised
by stakeholders
been considered with
common agreement achieved?
·
The
benefit realisation
plan is
documented
·
Strategic
alignment,
deliverability
·
Statutory
and procedural
requirements are
met
·
The
procurement strategy
is
agreed
·
Stakeholder
support, implementation and risk management plan are agreed
·
Availability
of expertise
and resources
to manage
the supplier relationship
·
Draft
contracts and
service level
agreements are
agreed
·
Service
need
·
The
validity of
options
assessment
·
Strategic
alignment
·
Legal
and regulatory
requirements
·
Design
and
deliverability
·
Public
interests
·
Environment
·
Economic
benefits
Victoria
State of
Victoria (2017)
·
Economic
·
Environment
·
Social
·
Innovation

Table
4 Summary
of decision
criteria for
used infrastructure
investment assessment
in
Australia

Figure
2 The
Transport Portfolio
investment assessment
framework in
WA

Item
Australian
guidelines
International
guidelines
Previously
conducted
CBA
CBA
conducted
by
NA
NA
Analyses have
been conducted by economists or
engineers.
Discount
rate All
recommends
7%
except
for the
QTMR guideline which recommends 6%.
Recommended
rates widely
vary between guidelines.
Most
used 7%.
Others used 6%, 6.8% or
8%.
Appraisal period
Two approaches are recommended:
30 years for
road projects
and 50 years for rail
projects, and adopting a period below 30 years.
Recommendations
widely vary between
guidelines.
Three projects adopted 45 years
or above. Other
projects adopted less than 40
years.
Annualisation factor
Guidelines either have no
advice or
when they do, they
recommend 345-365 days. The ATAP guideline recommends
285 days.
The
BQ guideline
has no
advice.
No guidance is
given. Many
used above
300 days.
Interpolation method
CAPEX
and OPEX
Treatment
of tolls
No guidance is given.
No guidance is given. Many adopted liner
growth assumption. Two projects
did not report this.
No guidance is given.
No guidance is given. The separate firm
conducted detailed cost
estimation which the report only
referred to. Two projects did
not report how the costs
have been estimated.
No guidance is given.
No guidance is given. Tolls have been
considered as financial
transfers.
RV
Many advice to use the SLD method. The BQ guideline
has no
advice.
Recommendations
widely vary between
guidelines.
RV has been either assumed to
diminish at the end of the appraisal period or the SLD method has been
used to
estimate the value.
Value
of time
value
Many are consistent except the
QTMR guideline which recommends relatively high value for freight. The
BQ guideline
has no
advice.
The NZ guideline recommends
relatively low values for private travels. The US guideline recommends
relatively high values. The EU guideline contains a brief explanation
of how
the values
should be estimated.
MUP and NEL projects adopted
relatively lower values. Other
projects adopted broadly
consistent.
VOC
value Many
provide a
speed-
dependent
model expect the QTMR
guideline which recommends a complex model to estimate VOC value.
The
BQ guideline
has no
advice.
Crash cost Many
provide willingness-to-pay crash
values, while
the QTMR guideline
recommends using human capital approach values. The BQ guideline has no
advice.
The NZ guideline and the UK
guideline recommend a lower value for cars and higher value for trucks which
are broadly consistent, while the
US guideline
recommends higher value
for cars and lower value for trucks. The EU guideline contains a brief
explanation of how the values should be estimated.
The NZ guideline and the UK
guideline recommend broadly consistent values, while the US guideline
recommends a lot higher values.
The EU
guideline contains
a brief explanation of how the values should be estimated.
The values used widely
vary between
projects.
The crash benefit estimation
method has often poorly
documented.
Crash rate State
crash reduction factors for various
engineering treatments are recommended in many guidelines. The BQ
guideline has no advice.
The EU guideline contains a
brief explanation of
how the
values should be
estimated. Other
guidelines do
not provide any advice.
The crash benefit estimation
method has often poorly
documented.
Particularly,
the crash rate estimation
method has not been documented.
Environmental
and
externality
impacts
The TfNSW guideline and
the QTMR
guideline recommend values of a wide range of broadly consistent
impacts. The BQ guideline has no advice.
Many recommend values for air
related impacts, while the NZ guideline
recommends values
on a wide range of
impacts.
A wide range of different
values has been adopted
between impacts and projects.
Travel
time reliability
The
TfNSW guideline recommends
the NZ method. All other guidelines
do not
have any advice.
No guidance is
given. Three
newer projects included it
by adopting the UK method.
Sensitivity analysis
The IA guideline, the ATAP
guideline and
the QTMR guideline contain
lists of values that are
recommended to be tested.
The EU guideline
provides a set of values that are recommended to be tested,
while other
guidelines do
not have any advice.
Four newer projects
conducted a sensitivity analysis
on various values, accordingly to the Australian
guidelines.

Table
5 Reviewing
CBA guidelines
and previously
conducted CBA
|
Guide |
Notes
about the
organisation |
Publication
year |
Discount
rate |
Appraisal
period |
Annualisatio
n
factor |
RV |
Value
of time
value (per
vht) |
VOC
value (per
vkt) |
Crash
cost (per
crash) |
Crash
rate |
Environmental and
externality
impacts (per vkt) |
Travel
time
reliability |
Sensitivity
analysis |
|
IA
(Infrastructur
e
Australia,
2018) |
An
independent
statutory body
with a
mandate to
prioritise
nationally
significant
infrastructure. |
2018 |
7%
with sensitivity
for 4% and 10% |
ATAP
guide is
referred |
ATAP
guide is
referred |
No
advice on
the
estimation
method |
ATAP
guide is
referred |
Austroads
2012 guide
is referred |
ATAP
guide is
referred |
ATAP
guide is
referred |
ATAP
guide is
referred |
No
advice |
Discount
rate, CAPEX,
OPEX, total
benefits, appraisal
periods, total traffic
volume, the proportion of
heavy vehicles, traffic
growth rate, traffic
generated,
traffic
diverted |
|
ATAP
(Australian
Transport
and
Infrastructure
Council,
2016, 2018) |
ATAP
guidelines have
been developed as
a single
national source
of guidance
on
transport
planning,
assessment and
appraisal. |
2018 |
use
the discount
rate nominated
by the
funding
jurisdiction |
It is usual to assume a
30- year
life for
road initiatives
(except bridges, which
have much
longer life)
and a 50-year life
for rail
initiatives. |
285
days |
The
straight-
line
depreciation
(SLD) method |
$26.34
for private
car travel
$36.71 for
trucks
$4.56
for
freight |
Uninterrupted
flow:
$0.327
for cars,
$0.624 for trucks
(straight, flat
road) Interrupted
flow:
$0.380
for cars
and
$0.807 for trucks
using the
stop-start model
and $0.317 for
cars and
$0.593 for trucks
using free-flow
model |
Fatal
crash
$8,560,750,
serious
injury
$465,186,
other injury
$29,146 |
Use
default values
for both
Base and Project Cases or
to calculate a ‘crash
reduction factor’
(proportional reduction in
crashes) from the default
values and apply it to the
forecast Base Case crash
numbers. Crash reduction
factors are provided in
Austroads
"Effectiveness of
Road Safety
Engineering
Treatment" 2012 report
(Austroads,
2012) |
No
advice |
No
advice |
CAPEX, OPEX, traffic
estimate, total traffic
volume, the proportion of
heavy vehicles,
average car
occupancy, traffic growth
rate, traffic generated,
traffic diverted, traffic
speed changes, changes in
crash rates |
|
TfNSW
(NSW
Government,
2018) |
The
guideline
published by
a
state
transport
agency. |
2018 |
7%
with sensitivity
for 4% and 10% |
It is usual to assume a
30- year
life for
road initiatives
(except bridges, which
have much
longer life)
and a 50-year life
for rail
initiatives. |
345
days |
The
straight-
line
depreciation
(SLD) method |
Based
on ATAP
except for
occupancy rate
(NSW
specific
values),
$23.65
for private
car travel
$34.76 for
trucks
$4.32
for
freight |
$0.247
for cars
and
$0.709 for trucks
using the
stop-start model
and $0.240 for
cars and
$0.610 for trucks
using free-flow
model |
Fatal
crash
$7,653,597,
serious
injury
$497,393,
moderate
injury
$83,423,
minor injury
$76,668, other
injury
$173,632,
PDO
$10,139 |
Guide refers to the
Safer Roads
team within
TfNSW to obtain
the crash reduction
factor matrix (not
available online). |
Cars: air pollution
$0.033, greenhouse
gas emissions
$0.026, noise
$0.0108, water pollution
$0.005,
nature and
landscape
$0.0006, urban
separation $0.0076,
upstream/downstream costs
$0.0444 Trucks:
air pollution $0.1246,
greenhouse gas emissions $0.0277,
noise $0.0208, water pollution
$0.0187,
nature and
landscape
$0.002,
urban separation
$0.0139,
upstream/downstream
costs
$0.111 |
National
Guidelines/
NZ
model is
recommen
ded (too
complex to
summarise
here) |
No
advice |
|
BQ
(Building
Queensland,
2016) |
An
independent
statutory body
that provides
expert advice
to
Queensland
government
agencies and
authorities to
enable better
infrastructure
decisions. |
2016 |
7%
with sensitivity
for 4% and 10% |
No specific advice other
than the
appraisal period
should not exceed 30
years. |
No
advice |
No
advice |
No
advice |
No
advice |
No
advice |
No
advice |
No
advice |
No
advice |
No
advice |
|
QTMR
(Queensland
Department
of
Transport and
Main Roads,
2011) |
The
guideline
published by
a
state
transport
agency. |
2011 |
6%
with sensitivity
for 4%, 7% and
10% |
The period over which
costs and benefits are
calculated in a CBA should
reflect the physical life of
the asset. The economic
life of various assets is
provided.
Measurement of
project impacts longer
than 30 years is not
recommended. |
365
days |
The
straight-
line
depreciation
(SLD) method |
$23.75
for private
car travel
$30.70 for
trucks
(articulated)
$38.17
for
freight |
A complex model
with many
factors,
adjustments and
assumptions. Not
easily
calculated. |
Recommends
the
human
capital
approach. Fatal
crash
$2,447,364,
serious
injury
$588,717,
minor
injury
$25,749,
PDO
$9,374 |
Crash rates for various
road widths are provided
(e.g. 4
lane divided
sealed road =
0.374119718
million
vkt) |
Cars: air pollution
$0.033, greenhouse
gas emissions
$0.026, noise
$0.0108, water pollution
$0.005,
nature and
landscape
$0.0006, urban
separation $0.0076,
upstream/downstream costs $0.044
Trucks: air pollution $0.999,
greenhouse gas emissions $0.222,
noise $0.167,
water pollution
$0.150, nature
and landscape
$0.0165, urban
separation
$0.111,
upstream/downstream
costs
$0.889 |
No
advice |
CAPEX,
travel time
saving, VOC
saving, crash cost,
excluding private travel
time costs |
Table
6 Comparison
of Australian
guidelines
Note: Parameters
shown for: fleet
of cars
and medium rigid trucks,
urban setting,
WA values
for those
location-specific
parameters, vehicles
travelling at 60 km
per hour, and
willingness-to-pay values
instead of human-capital
approach values.
Throughout the paper,
Australian dollar values are shown at June 2018 prices including those
originally shown in foreign currencies.
|
Jurisdiction |
Guide |
Discount
rate |
Appraisal
period |
RV |
Travel
time
benefit |
VOC
saving |
Crash
cost (per
crash) |
Environmental and
externality
impacts |
Travel
time
reliability |
Sensitivity
analysis |
|
EU |
Guide to Cost-
Benefit Analysis
of Investment
Projects
(European
Commission
Directorate-
General for
Regional and
Urban Policy,
2014) |
5%
is used
for major
projects in
Cohesion countries
and 3 % for the other
Member States |
25-30
years for
road projects
including
construction
period |
No
advice |
A
brief explanation
of how
it should be estimated is
provided |
A
brief explanation
of how
it should be estimated is
provided |
A
brief explanation
of how
it should
be estimated is
provided |
Air
and noise
pollutions, and
greenhouse gas
are considered. A
brief explanation of how they
should be estimated is provided. |
No
advice |
CAPEX, OPEX, traffic,
the value of time
parameter, VOC
parameter, crash
saving, CO2
saving |
|
NZ |
Economic
Evaluation
Manual
(NZ
Transport
Agency, 2018) |
6%
with sensitivity
for
4% and
8% |
40
years |
The RV after 40
years is
considered
negligible and
omitted from CBA |
NZD
7.80 (AUD
7.57)
for
private
car travel
NZD
20.10
(AUD 19.50)
for
trucks
NZD 17.10
(AUD 16.59) for
freight |
NZD
0.216 (AUD
0.210)
for
cars
and NZD
0.938 (AUD
0.910) for trucks |
Full crash rate
estimation method is
provided. Crash
costs at
various speeds,
movements and travel modes are
provided.
At
50km/h, all
movements, all
vehicles: Fatal
NZD 4,770,200 (AUD 4,627,094),
serious injury NZD
492,575 (AUD 477,798),
minor injury
NZD 29,036
(AUD
28,165),
PDO NZD
2,904 (AUD
2,816) |
Individual
assessment is
recommended for
noise, vibration
and water pollution, ecological, visual,
community severance, overshadowing impacts.
PM10 NZD 475,192 (AUD 460,937) per tonnes,
NOx NZD 16,886 (AUD 16,380) per tonnes, CO
NZD 4.27 (AUD 4.14) per tonnes, HC NZD 1,353
(AUD 1,313) per tonnes, CO2 NZD 67.74 (AUD
65.71)
per tonnes |
The
estimation method
is given |
Sensitivity
is advised
but does not
specify parameters
to be
tested |
|
UK |
Web
TAG:
Transport
Analysis
Guidance
(UK Department
of
Transport,
2018b,
2018a) |
3.5%
for the
first
30
years
then 3% |
Appraisal
period should
not exceed
60 years |
RV
should not
be included
for projects
with indefinite
lives with 60
years appraisal
period |
GBP
14.30 (AUD
26.74)
for
private
car trip
GBP 18.33
(AUD 24.28) for trucks
including freight |
Work:
GBP 0.139
(AUD
0.260)
for cars
GBP 0.164
(AUD 0.307) for trucks
Non-work: GBP 0.117
(AUD 0.219)
for cars
GBP
0.167
(AUD 0.312)
for
trucks |
Fatal
GBP 2,189,962
(AUD
4,095,229),
serious injury GBP
250,388 (AUD 468,226),
slight injury
GBP 26,154
(AUD
48,908),
PDO GBP
2,335 (AUD
4,366) |
Various
noise values
provided for
various noise
level change, PM10 GBP 117.60 (AUD 219.91)
/household/1μg/m³,
NOx GBP
1,198 (AUD
2,240) per tonnes,
CO2 petrol GBP 2.13 (AUD 3.98) per
litres CO2
diesel GBP
2.511 (AUD
4.70) per
litres, GHG GBP
67.31 (AUD 125.87) per CO2 tonnes |
The
estimation method
is given |
Sensitivity
is advised
but does not
specify parameters
to be
tested |
|
US |
Benefit-Cost
Analysis
Guidance
for
Discretionary
Grant Programs
(US Department
of
Transportation,
2018) |
7% |
20
years plus
construction
period |
The
straight-line
depreciation (SLD)
method |
USD
25.58 (AUD
36.06)
for
private
car travel
USD
29.42
(AUD 41.48)
for
trucks |
USD
0.646 (AUD
0.910) for
cars USD 1.490 (AUD
2.101)
for
trucks |
Fatal
USD 9,875,520
(AUD
13,924,483),
critical injury USD
5,856,183 (AUD
8,257,219), severe
injury USD
2,626,888 (AUD
3,703,913), serious injury USD
1,036,930 (AUD 1,462,071), moderate
injury USD 464,149 (AUD
654,451), minor injury
USD 29,627
(AUD 41,773),
PDO USD
4,423 (AUD 6,237) |
CO2 USD 1.03 (AUD 1.45)
per tonnes, Volatile
organic compounds USD 1,868 (AUD 2,634) per
tonnes, NOx
USD 7,751
(AUD 10,930)
per tonnes,
PM25 USD 352,831 (AUD 497,491) per tonnes,
sulphur
dioxide USD
45,668 (AUD
64,392) per
tonnes |
No
advice |
Not
considered |
Table
7 Comparison
of international
guidelines (foreign
currencies are
converted to
Australian dollars
using the
currency exchange
rate as
of 16
March
2019)
Note:
Parameters shown for:
fleet of
cars and medium
rigid trucks, urban
setting, WA
values for
those location-specific
parameters, vehicles
travelling at 60 km
per hour, and
willingness-to-pay values
instead of human-capital
approach values.
Throughout the paper,
Australian dollar values are shown at June 2018 prices including those
originally shown in foreign currencies.
|
Case |
Conducted
by |
Analysis
conducted
in |
Discount
rate |
Appraisal
period |
Annualisation
factor |
Interpolation
method |
CAPEX |
OPEX |
Treatment
of
tolls |
RV |
Value
of time
(per vht) |
VOC
value (per
vkt) |
Crash
cost (per
crash) |
Environmental and
externality
impacts
(per vkt) |
Travel
time
reliability |
Improved
congestion |
Sensitivity
analysis |
Guidelines
referred |
|
MUP
(PwC,
2018) |
Economic
consultancy |
2018 |
7%
with
sensitivity
for 4%
and
10% |
34 (4 years
for
construction
and 30
operational
years) |
various
factors
were
applied for
different sections
of the
road, varies
between 315
and
344
days |
Not
stated |
Supplied
by
other
consultants |
Supplied
by
other
consultants |
The
toll
was
considered
as financial
transfer |
SLD |
$16.52
for private
car travel
$54.69 for
business car
travel
$50.61
including
freight
for
trucks |
$0.120 for cars
and $0.556 for
trucks using
the
stop-start
model and
$0.081 for cars
and $0.293 for
trucks using
the
free-flow
model. The
same value
was used for both
LCV
and
HCV. |
The fatal crash
was
considered.
Fatal crash cost
varied
between
$605,536
and
$305,406
for
different
road
types. |
Cars:
air pollution
$0.0329,
greenhouse gas emissions
$0.0040,
noise $0.0105,
water
$0.0050, nature and
landscape $0.0044, urban
separation
$0.0077 Trucks:
air pollution
$0.0131,
greenhouse gas emissions
$0.0009, noise
$0.0035,
water $0.0013,
nature and landscape
$0.0035,
urban
separation
$0.0030 |
Web
TAG guide
was
referred |
Improved
congestion
was
considered
separately
as part of
the WEB,
NZ
guide
approach
using PwC
values |
Discount
rate, CAPEX,
OPEX,
annualisation,
total
benefits, growth
rate
assumption,
construction
disruption |
Travel
time: ATAP
guide, VOC:
ATAP, travel
time reliability:
UK Web TAG, crash
rates: VicRoads,
crash cost: ATAP
guide,
environmental
and
externality
impacts: ATAP |
|
NEL
(Ernst
and
Young,
2018) |
Economic
consultancy |
2018 |
7%
with
sensitivity
for 4%
and
10% |
58 years (8
years for
construction) |
330
days |
Linear |
Supplied
by
other
consultants |
Supplied
by
other
consultants |
The
toll
was
considered
as financial
transfer |
SLD |
$16.56
for private
car travel
$53.71 for
business car
travel
$81.05
including
freight
for
trucks |
$0.413 for cars
and $2.335 for
trucks using
the
stop-start
model and
$0.574 for cars
and $1.564 for
trucks using
free-flow model |
Fatal
crash
$9,242,133,
serious
injury
$653,535,
other injury
$43,793 |
Car: air pollution
$3.27, Greenhouse
gas emissions
$0.021,
noise $1.072
Truck: air
pollution $0.416,
Greenhouse gas emissions
$0.083,
noise
$0.073 |
Web
TAG guide
was
referred |
NZ
guide |
Discount
rate, CAPEX,
OPEX,
different
rump- up
assumption,
different VOC
assumptions
and parameters,
benefit growth
assumption,
annualisation
factor |
Travel
time: ATAP
guide, VOC:
ATAP and
Austroads, travel
time reliability:
UK Web TAG, crash
rates: VicRoads,
crash cost: ATAP
guide,
environmental
and
externality
impacts:
ATAP |
|
WCX
(KPMG,
2015) |
Economic
consultancy |
2015 |
7%
with
sensitivity
for 4%
and
10% |
34 (4 years
for
construction
and 30
operational
years) |
345 |
Linear |
Supplied
by
other
consultants |
Supplied
by
other
consultants |
Toll
was
considered
as financial
transfer |
SLD |
$22.56
for private
car travel
$56.71 for
business car
travel
$73.61
including
freight
for
trucks |
$0.366
for cars
and $0.735
for trucks
using
stop-start
model and
$0.257 for cars
and $0.473 for
trucks using
free-flow model |
Fatal
crash
$7,132,418,
minor
injury
$150,338,
PDO
$10,175 |
Cars:
air pollution
$0.0128,
greenhouse gas emissions
$0.0068, noise $0.0031,
soil and water $0.00069,
biodiversity
$0.00060 nature
and landscape $0.00014,
urban separation $0.00219,
upstream/downstream
costs
$0.00833
Trucks: air
pollution
$0.13224,
greenhouse gas
emissions
$0.03062,
noise
$0.02803,
soil and
water
$0.01378,
biodiversity
$0.0093, nature and
landscape $0.00106, urban
separation
$0.00895,
upstream/downstream costs
$0.0326 |
Web
TAG guide
was
referred |
|
Discount
rate, CAPEX,
OPEX,
total
benefits,
benefit
growth
rate
assumptions,
annualisation
factors |
Travel
time: TfNSW
guide, VOC:
Austroads, travel
time reliability:
UK Web TAG, crash
rates:
Austroads,
crash cost:
TfNSW guide,
environmental
and
externality
impacts:
Austroads |
|
WSD
(PwC,
2015) |
Economic
consultancy |
2015 |
7%
with
sensitivity
for 4%
and
10% |
Both
30 years
and
50 years
were
conducted |
Various
factors were
applied: cars 340
days,
LCV
285
days,
HCV 275 days
based on the
observed traffic
volume along
nearby
freeways |
Not
stated |
Supplied
by
other
consultants |
Supplied
by
other
consultants |
The
toll
was
considered
as financial
transfer |
SLD |
$16.45
for private
car travel
$56.71 for
business car
travel
$80.51
including
freight
for
trucks |
$0.293 for cars
and $1.740 for
trucks using
the
stop-start
model and
$0.241 for cars
and $0.894 for
trucks using
free-flow model |
The fatal crash
was
considered.
Fatal crash cost
varied
between
$649,425
and
$365,418
for
different
road
types. |
Cars:
noise $0.0105,
water pollution
$0.00526, nature
and landscape $0.00105,
urban separation $0.0105
Trucks: unknown
Values for surface and
tunnel were
shown separately.
Some values were
shown as "0.01". Air
pollution and greenhouse
gas were shown as $/tonne
values. The table was cut out
and values for LCV and HV
were not readable. |
Web
TAG guide
was
referred |
NZ
guide
approach
using PwC
values |
Discount
rate, CAPEX,
OPEX,
toll
price
assumptions
used in traffic
modelling, the
proportion of
commercial
vehicles, fuel
price |
Two guides were
referred: IA and
Victorian guide,
which led to two
different
appraisal period
and traffic
modelling
assumptions. This
resulted in
benefits of $4.6
billion vs $6.6 billion
and BCR
of
1.3
vs
1.9.
Travel
time: ATAP,
improved
congestion: NZ
guide, travel
time reliability:
UK Web TAG, VOC:
ATAP,
crash cost:
ATAP,
environmental
and
externality |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
impacts:
Austroads
2012 |
|
NL2
(SKM
&
Connell
Wagner,
2008) |
Engineering
consultancy |
2008 |
6%
with
sensitivity
for 4%
and
8% |
45 years (4
years for
construction) |
340
days |
Linear
growth |
Detailed
estimation
approach
was
not
documented |
Detailed
estimation
approach
was
not
documented |
The
toll
was
considered
as financial
transfer |
RV
was assumed
to diminish
at the end of
the
appraisal
period |
Main
Roads
and
Austroads
report values
were used.
$23.95
for private
car travel
$29.96
including
freight for
trucks
(articulated) |
Main
Roads and
Austroads
report values
were used.
Parameters
were
not
documented. |
2002
price year
was used.
Parameters
were
not
documented. |
Cars:
air pollution
$0.033, greenhouse
gas
emissions
$0.026,
noise $0.011,
water
$0.005,
nature and
landscape
$0.0006,
urban
separation
$0.008,
upstream/downstream
$0.044 Trucks
($/1000 tonnes): air
pollution $204.7, greenhouse
gas emissions $63.8, noise
$34.9, water $30.7,
nature and
landscape $22.8,
urban separation
$33.4,
upstream/downstream
$212.5 |
Not
considered |
Not
considered |
Discount
rate |
Environmental
and
externality
impacts:
Austroads |
|
AL2
(SKM
&
Connell
Wagner,
2006) |
Engineering
consultancy |
2006 |
6.8%
with
sensitivity
for 5.5% |
45 years (50
months for
construction) |
330
days |
Linear
growth |
Supplied
by
other
consultants |
Supplied
by
other
consultants |
The
toll
was
considered
as financial
transfer |
RV
was assumed
to diminish
at the end of
the
appraisal
period |
Main
Roads
and
Austroads
draft values
were
used.
$23.65
for private
car travel
$30.81 for
trucks
$4.21
for
freight |
Main
Roads and
Austroads draft
values were
used. Freeway:
$0.251
for cars,
$2.252
for trucks
Other roads:
$0.246 for
cars,
$16.342
for
trucks |
Raw
parameters for
crash cost and crash rate
were not
provided in the
report. The
outcome crash
cost per
vkt was
provided. The
outcome crash
cost varied
between
$0.025/vkt
to
$0.110/vkt
for different
road
types |
Car:
noise $0.011,
air pollution
$0.032,
water $0.005
trucks (shown as
$/1000 tonnes) noise
$3.5, air pollution
$3211,
water
$3.1 |
Not
considered |
Not
considered |
Discount
rate, CAPEX,
OPEX,
faster
population
growth
assumption |
Environmental
and
externality
impacts:
Austroads |
|
MCL
(The
Allen
Consulting
Group,
1996) |
Economic
consultancy |
1996 |
8% |
36 years (5
years for
construction) |
Not
documented |
Not
documented |
The
estimation
method
is
not
documented |
The
estimation
method
is
not
documented |
Not
considered |
Not
considered |
$35.59
for all
vehicles |
Included
but
estimation
method is
not
documented |
Included
but
estimation
method is
not
documented |
Not
considered |
Not
considered |
Not
considered |
Not
conducted |
No
guidelines were
referred |
Table
8 Comparison
of previously
conducted
CBA
Note: Parameters
shown for: fleet
of cars
and medium rigid trucks,
urban setting,
WA values
for those
location-specific parameters,
vehicles travelling at
60 km per hour,
and willingness-to-pay
values instead of human-capital
approach values.
Throughout the paper,
Australian dollar values are shown at June 2018 prices including those
originally shown in foreign currencies.
Highlights
·
This
study identified
the challenges
of implementing
CBA outcomes
in investment decision
making and the practical issues that should be addressed in guidelines
·
Further guidance and research is needed on the assumptions related to RV,
appraisal period,
discount rate,
and the
estimation of
travel time
reliability benefit
·
The
Australian practice
focuses more
on investment
prioritisation than
the accuracy of CBA
·
The
complexity of assessing
multiple investment
proposals using
the CBA
outcomes is evident
Credit Author
Statement
Sae Chi:
Conceptualization, Methodology, Validation, Formal analysis, Investigation,
Resources, Data
Curation, Writing
- Original
Draft, Writing
- Review &
Editing, Visualization, Supervision
Jonathan
Bunker: Project
administration,
Conceptualization, Writing
- Review
&
Editing
| |
|