paved with gold the real value of good street design
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COLIN BUCHANAN Paved with Gold: The real value of good street design Martin Wedderburn Nelson, Thursday 5 th August 2010 Colin Buchanan Case studies Making the case Prioritising Monitoring investment Demand What works forecasting for


  1. COLIN BUCHANAN Paved with Gold: The real value of good street design Martin Wedderburn Nelson, Thursday 5 th August 2010 Colin Buchanan

  2. Case studies Making the case Prioritising Monitoring investment Demand What works forecasting for walking?

  3. Making the case: A toolkit for valuing walking

  4. Where should I spend my money? Waterview connection Cost: $2.912m Benefit: $3.370m User benefits $28m Wider benefits $0 Revenue BCR: 1.15:1

  5. Where should I spend my money? Town centre enhancement Cost: $15m Benefits: “It’s a good thing to do” BCR: ?? School Travel Plans Cost: $1.5m Benefit: “Probably positive” BCR: ??

  6. How?  Cost savings  Stated preference  Hedonic pricing  Secondary benefits

  7. Measuring quality  Can we measure walkability ?  Quality audits (PERS, community street review)  Numerical measurements, e.g. layout (accessibility, legibility), access to green space

  8. Climate change  Mode shift  Embedded emissions  Adaptation (drainage, shade)

  9. Economic growth  Local connectivity  Clustering  Local property prices  Retail performance

  10. Equality of opportunity

  11. Quality of life and environment

  12. Safety, security and health  Road safety  Physical activity  Mental health  Air quality  Crime

  13. Business case 1: Tottenham Hale

  14. Business case 2: River crossings

  15. Carter Lane Quarter Business case 3:

  16. Prioritising investment: The pedestrian barriers project

  17. Background

  18. Demand and facilities Generally positive Potential ‘High demand & relationship poor facilities’ between demand demand and provision ‘Good facilities & low demand’ Quality of crossing provision

  19. Calibration - demand

  20. Calibration - facilities

  21. Quality of crossings  Generalised journey time:  Horizontal deflection  Vertical deflection  Delays

  22. Predicting pedestrian routes

  23. Findings

  24. Demand forecasting : A recent example

  25. Background  Opportunity Area:  Battersea Power Station  US embassy  High density mixed use developments  Green space  Transport network upgrades

  26. Movement forecasting Our approach:  Link to strategic outputs  Public realm  Layout variables  Activity and movement

  27. Movement forecasting

  28. Calibrated model Movement forecasting Observed

  29. Applications  Scenario testing  Capacity  Crossing design  Security  Retail  Business case inputs

  30. Improving routes : What works for walking?

  31. 5 recommendations 1. Getting the basics right 2. Personal security 3. Safe and direct routes 4. Dwell and rest spaces 5. Capacity

  32. 1. Getting the basics right Cleanliness Maintenance & Materials

  33. 1. Getting the basics right Accessibility Simple but effective innovation

  34. 2. Personal security

  35. 3. Safe and direct routes  UK design guidance for residential development  New street design philosophy?

  36. 3. Safe and direct routes

  37. 3. Safe and direct routes – guard rail

  38. 3. Safe and direct routes - crossings

  39. 4. Dwell and rest spaces

  40. 4. Dwell and rest spaces  Natural meeting points  Next to main flow  Facing main flow / activity  Protected back  Adaptable space

  41. 5. Capacity – vehicular vs. pedestrian Similar: Different:  Finite capacity  Not always linear  Movement flows  Waiting to cross and stationary  Role of place  Queues can functions block other flows

  42. Level of Service

  43. Micro-simulation

  44. Monitoring: Best practice in data collection

  45. Measuring pedestrian activity What doesn’t count isn’t counted… and what isn’t counted doesn’t count.

  46. Objective “ Establishing a set of international guidelines for the collection, analysis and dissemination of quantitative and qualitative techniques for measuring walking.” (WALK21 conference conclusions Melbourne 2006)

  47. What can we measure?

  48. Pedestrian activity

  49. Pedestrian activity

  50. User characteristics

  51. Behaviour

  52. Perceptions

  53. Case study: Strategic Walks Network Annual performance indicators:  User numbers  User characteristics  Walking patterns  User satisfaction  Awareness and promotion

  54. Discussion

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