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The National Propensity to Cycle Tool: DfT funded research on cycling

67b1027cca3877a76a9024425519ddde?s=47 Robin
June 26, 2015

The National Propensity to Cycle Tool: DfT funded research on cycling

Presentation delivered at the Cycling City Active conference in Newcastle

67b1027cca3877a76a9024425519ddde?s=128

Robin

June 26, 2015
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Transcript

  1. The National Propensity to Cycle Tool An online, interactive, open

    source evidence-based decision support application Presented at Cycle City Active 2015, Newcastle Civic Centre, 26th June 2015 Robin Lovelace, University of Leeds r.lovelace@leeds.ac.uk
  2. Distance and mode dependence (Sheffield)

  3. Overview • Why create the National Propensity to Cycle Tool

    (NPCT)? • How did we build it? • What does it do? • How will it be used? • Future plans
  4. Why did we build it? http://homepag e.ntlworld.com/ pete.meg/wcc/f acility-of-the- month/January

    2015.htm
  5. Tools of the trade: pricey http://www.oasys-software.com/products/engineering/massmotion.html

  6. The costs of transport planning

  7. The benefits of collaboration Credit: flickr CC license

  8. The costs of incompatibility

  9. How did we build it? • Open Source software •

    'Agile' and open development workflow, using GitHub – see • Multi-disciplinary team • (Tech. Part: source code using shiny, leaflet packages which compile into html and javascript!)
  10. Distance decay

  11. Why distance decay? Source: NPCT model Output (Leeds)

  12. Capacity issues

  13. What does it do? • Visualises current cycling rate across

    zones • Interactive visualisation of flows • Illustrates scenarios of the future… • At high-geographical resolution • Including route-allocated potential
  14. How will it be used? • Strategic planning to determine

    where new bicycle paths are most needed. • Targeting specific areas with high cycling potential • 'Visioning' for long-term future • Many other uses (Phase II)
  15. Model results

  16. Next steps • Deploy the NPCT nationwide • Add education

    layer • Tweaks to the model • Micro-level model • Include 'amplifier' effects • Training – allow others to modify
  17. Cycling is contagious! Credit: Tom Gutowski, Sustrans

  18. Positive social feedback Credit: Tom Gutowski, Sustrans

  19. Live demo!

  20. Thanks for listening! Thanks to the NPCT team: James Woodcock

    Rachel Aldred Anna Goodman Robin Lovelace