In cyipt/cyipt: Cycling Infrastructure Prioritisation Toolkit

Methods

Modelling cycling uptake

knitr::include_graphics("~/npct/pct-team/flow-model/dd-anna.jpg")

• Hilliness and distance are (relatively) unchanging over time
• Model based on polynomial logit model of both:

$$ logit(pcycle) = \alpha + \beta_1 d + \beta_2 d^{0.5} + \beta_3 d^2 + \gamma h + \delta_1 d h + \delta_2 d^{0.5} h $$

logit_pcycle = -3.9 + (-0.59 * distance) + (1.8 * sqrt(distance) ) + (0.008 * distance^2)

Adding infrastructure - at low geographic resolution

• Clear link between infrastructure and uptake, but inconsistent

knitr::include_graphics("../../cyipt-website/images/ttwa-uptake.png")

Breakthrough datasets

Relationship between hard and soft policies

knitr::include_graphics("../figures/interaction-plot.png")

Results

See: https://www.cyipt.bike (password protected)

knitr::include_graphics(c("../../cyipt-website/images/infrastructure/large/lightsegregation.jpg", "../../cyipt-website/images/recommended.png"))

Next steps - methods

• Create new explanatory variables
• Infrastructure on different route options - not just fastest
• Socio-demographic variables - which people respond
• Better road traffic data
• HGV exposure in particular (Ordnance Survey)

• Street lighting (links with Sheffield and EPSRC)

• Re-run model with confidence intervals

Integrating walking and cycling models

• Advantages of creating Integrated Cycling and Walking Infrastructure Prioritisation Toolkit (ICWIPT)
  • Mitigates against tool overload
  • Encourages integrated thinking - symbiosis
  • Expertise from route network models [@cooper_testing_2018; @cooper_predictive_2018]

References

• The PCT in action: http://www.pct.bike/
• A prototype of the CyIPT: http://cyipt.bike/

cyipt/cyipt documentation built on Aug. 16, 2020, 10:24 p.m.