Upgrade to Pro — share decks privately, control downloads, hide ads and more …

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



June 26, 2015


  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

  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