Title: Prediction, appraisal and evaluation of road pricing schemes
1Prediction, appraisal and evaluation of road
pricing schemes
What can we learn about Prediction, Appraisal and
Evaluation?
- Professor Anthony D May
- Institute for Transport Studies
- University of Leeds
2The State of the Art Report
- First version now approved by the Commission and
published - A web-based version proposed
- Four sets of reviews by international experts
- Australia, Hong Kong Korea, Singapore, US
- Second version in draft for completion in January
- Updates to all chapters
- Reflecting comments received and new results
- New chapters on Technology, Environment
- What focus for Technology? Should we add Business
Models? - Fact sheets being prepared for each chapter
- Two drafts available for Acceptability, Economy
- Comments welcome!
3The SoAR structure
4Prediction
- Prediction enables us to assess what the likely
impacts of a proposed scheme might be - And is hence the key input to Appraisal
- Methods of formal prediction are essential
because - It is very difficult without them to assess the
complex impacts of road pricing - There is very little empirical evidence on which
to base simpler assessments - But the lack of empirical evidence makes it
harder to establish reliable prediction methods - Prediction was ranked second in the Use Needs
Assessment Questionnaire
5What do we need to predict?
- The direct impacts of different designs on demand
and supply - The demand effects on different types of user,
including those exempt or charged at different
levels - Changes in mode, route, time of travel,
frequency, destination . . . - The supply effects on different parts of the
network - Private and public transport networks
- Capacity, flows, travel times, waiting times,
queues, reliability . . . - The impacts on different objectives
- Including distributional effects
- The short and long run impacts
6Types of predictive model
- Micro-simulation models (e.g. VISSIM, DRACULA)
- Detailed interaction of vehicles, principally for
detailed impacts - Tactical network models (e.g. SATURN)
- Re-routeing impacts of charging, and simple
demand responses - Strategic transport models (e.g. EMME2, TRIPS)
- Broad demand responses, high level network
impacts - Strategic land use/transport models (e.g. MEPLAN,
MARS) - High level demand responses, relocation impacts
- General equilibrium models (e.g. TRENEN)
- High level economic impacts
7Gaps in our ability to predict
- Area-based schemes
- Exemptions, discounts and season tickets
- Trip chaining, motorcycles, vehicle occupancy
- Park and ride, park and walk
- Waiting times and reliability
- Distributional impacts, particularly for
exclusion issues - Longer term impacts on location and economic
activity - Hence impacts on certain objectives
- Equity, Economy
- Which might bias the design and assessment
8Appraisal and Evaluation
- Appraisal involves ex ante assessment of the
predicted impacts - And helps guide the decision on whether to
implement - And how to improve the design
- Evaluation involves ex post assessment of the
measured outcomes - And is essential for improving our ability to
predict and appraise - And for increasing acceptability, enhancing
transferability - Both should be based on the full list of agreed
objectives - Ideally evaluation should also consider
objectives of interest to other cities
9Appraisal methods
- Conventional approaches
- Cost Benefit Analysis and Multi-Criteria
Appraisal - CBA provides a simple aggregate assessment
- But misses distributional impacts and those
difficult to value - MCA provides a disaggregate assessment by
objective - But can involve questionable weighting procedures
- And may still not address distributional impacts
well - Useful guidance in HEATCO very detailed,
prescriptive guidance in UK WEBTAG - Several examples of more or less good practice
10Evaluation examples
- London and Stockholm have both provided very
detailed information on what has happened, and
what impacts this has had on objectives - London has now provided over three years of
time-series data - Which shows the impact of changes in
specification - And raises the question of whether the impacts
are being eroded - But even London has had difficulty with
evaluating some impacts - And both have been subject to re-interpretation
11What have we learned from London?
- Congestion is difficult to measure, and
influenced by other factors - Reductions in road space road works
- Reliability also difficult to measure and
different for private, public transport - Benefits sensitive to values of time assumed
- Safety benefits are more easily measured than
predicted, but are we sure about cause and
effect? - Economic impacts are even more difficult given
the wide range of other factors which affect
performance - Distributional impacts depend on identifying the
right impact groups and being able to measure the
impact on each of them - Charge payers compliance is difficult to
predict, but important for performance
12Two evaluations of Stockholm
13Critical differences
- P/K attribute the costs of additional suburban
buses to the congestion charging scheme. Is this
right? Are there no benefits to existing PT
users? - E calculates additional rail capacity costs of
63m SEK/yr plus 15m SEK/yr in overcrowding costs.
P/K calculate a fragile estimate of
overcrowding costs of 222m SEK/yr. But is it
right to apply the changes in standing to the
whole of the traffic for the whole of their
in-vehicle time? - These differences account for 1383m SEK out of
1451m SEK (95) of the difference between P/K and
E
14Gaps in our ability to appraise
- Overcrowding and unreliability
- Qualitative environmental impacts such as
streetscape - Distributional impacts impact groups and
measurement - Economic and other long term impacts
- Interactions with administration and enforcement
- Treatment of uses of revenue
- Scope of the appraisal or evaluation
- The scheme itself
- The scheme together with complementary policies
- The scheme together with uses of its revenue