Prediction, appraisal and evaluation of road pricing schemes

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Prediction, appraisal and evaluation of road pricing schemes

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Benefits sensitive to values of time assumed ... P/K attribute the costs of additional suburban buses to the congestion charging scheme. ... – PowerPoint PPT presentation

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Title: Prediction, appraisal and evaluation of road pricing schemes


1
Prediction, 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

2
The 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!

3
The SoAR structure
4
Prediction
  • 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

5
What 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

6
Types 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

7
Gaps 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

8
Appraisal 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

9
Appraisal 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

10
Evaluation 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

11
What 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

12
Two evaluations of Stockholm
13
Critical 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

14
Gaps 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
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