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Developing a Good Practice
Guide on Travel Forecasting
Ian Clark
• “It cannot be assumed that there is only one viable
forecast of travel”
• NZ Transport Agency post implementation reviews
• 2015 NZMUGS and AITPM conferences: uncertainty
around forecasting
Background
Literature Review
• How accurate are forecasts?
• What are the main sources of inaccuracy?
• The way ahead
Sources of Inaccuracy (Highways England,
2015)
Higher Lower
Routing assumptions 58% 6%
Background growth
assumptions
17% 50%
Land use issues 17% 18%
Other highway schemes 8% 18%
Modelling accuracy 0% 9%
Total 100% 100%
Sources of Inaccuracy (Flyvbjerg, 2005)
% of Rail Projects % of Road Projects
Trip Generation 11% 27%
Land Use Development 1% 26%
Trip Distribution 29% 23%
Forecasting Model 10% 22%
Deliberately slanted
forecast
25% 0%
Opening delay/service
reliability
4% 0%
Design change 1% 0%
Not identified - 1%
Other 19% 0%
NZ Questionnaire Results
• Inconsistent practices
– Effects of travel demand management
– Matrix estimation
– Induced traffic
– Sensitivity tests
• Inconsistent assumptions, eg
– Fuel price
– Car ownership
Good Practice
• DoT (2014)
• Core scenario:
– Unbiased
– Not including speculative proposals
– Coherent and self consistent
– Realistic and plausible
• Uncertainty log
Good Practice
• Alternative scenarios:
• P times the square root of the number of
years after the base year
(For highway schemes P = 2.5%)
• For example,
– Base year 2015
– Forecast year 2031
– Test +/- 10%
Discussion (1)
• Toll roads
• Conservatism
• Transparency
• Optimism bias
• Length of forecast
– Inaccuracy
• New technology
• Looking back and forward
Discussion (2)
• Trip generation
• Risk
• Cost
• Dependency on modelling
• Complexity
• Justification based on growth?
Recommendations
• Transparency
• Sensitivity tests
• Greater consistency required
Questions?

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Developing a good practice guide on travel forecasting

  • 1. Developing a Good Practice Guide on Travel Forecasting Ian Clark
  • 2. • “It cannot be assumed that there is only one viable forecast of travel” • NZ Transport Agency post implementation reviews • 2015 NZMUGS and AITPM conferences: uncertainty around forecasting Background
  • 3. Literature Review • How accurate are forecasts? • What are the main sources of inaccuracy? • The way ahead
  • 4. Sources of Inaccuracy (Highways England, 2015) Higher Lower Routing assumptions 58% 6% Background growth assumptions 17% 50% Land use issues 17% 18% Other highway schemes 8% 18% Modelling accuracy 0% 9% Total 100% 100%
  • 5. Sources of Inaccuracy (Flyvbjerg, 2005) % of Rail Projects % of Road Projects Trip Generation 11% 27% Land Use Development 1% 26% Trip Distribution 29% 23% Forecasting Model 10% 22% Deliberately slanted forecast 25% 0% Opening delay/service reliability 4% 0% Design change 1% 0% Not identified - 1% Other 19% 0%
  • 6. NZ Questionnaire Results • Inconsistent practices – Effects of travel demand management – Matrix estimation – Induced traffic – Sensitivity tests • Inconsistent assumptions, eg – Fuel price – Car ownership
  • 7. Good Practice • DoT (2014) • Core scenario: – Unbiased – Not including speculative proposals – Coherent and self consistent – Realistic and plausible • Uncertainty log
  • 8. Good Practice • Alternative scenarios: • P times the square root of the number of years after the base year (For highway schemes P = 2.5%) • For example, – Base year 2015 – Forecast year 2031 – Test +/- 10%
  • 9. Discussion (1) • Toll roads • Conservatism • Transparency • Optimism bias • Length of forecast – Inaccuracy • New technology • Looking back and forward
  • 10. Discussion (2) • Trip generation • Risk • Cost • Dependency on modelling • Complexity • Justification based on growth?
  • 11. Recommendations • Transparency • Sensitivity tests • Greater consistency required