NCWIP workshop, 13th Jan 2016, Birmingham.

Presentation structure

  • Introduction to the PCT
  • Features
  • Live demo

Introduction

Need for joined-up networks

Existing transport planning tools: not optimised for the task

What kind of questions can it help answer?

  • Where should we build for existing cyclists?
  • New cyclists in the medium term?
  • Long-term strategy?
  • Along which routes to create the strategic joined-up network?

Phase I (Feb - July 2016)

  • Build and test a prototype model
  • Identify 'desire lines' of greatest potential
  • Make the tool scalable nationally
  • Create a website that will make the Propensity to Cycle Tool a publicly accessible resource

Phase II (January 2016 - March 2017)

Version 1 - nationwide (V1 launch: June 2016)

  • Route-allocated hilliness, network layer (complete)
  • Include health outcomes (HEAT)
  • National-level results (Anna Goodman)
  • V1.5 - smaller (LSOA) zones (Jan 2017)
  • Training

Version 2 - local deployment

  • Include non-commute trips
  • Compatibility with Local Authority trip demand models
  • Micro-level analysis (V 2.2)

Additional work/spin outs

  • Case studies of use (e.g. Manchester, Kent, Yorkshire)
  • Method for identifying severance
  • Case study along HS2 route
  • 'Hackathons' to stimulate the tool's development

Features

Interactive map of current flows

Route allocation

Route network analysis

Zoom to a specific area

4 scenarios of change

  • Government Target
  • Gender Equality
  • Go Dutch
  • Ebikes

Scenario shift in desire lines

Scenario shift in network load I

Scenario shift in network load II

Live demo

Live demo!

Model output tab I: Coventry

Model output tab II: Manchester

Why open source for transport planning?

  • Allows Local Authorities and other organisations to use and modify tool without licensing issues
  • Visibility: people can use it free anywhere in the world
  • Easier to maintain than a 'black box' codebase
  • More democratic

References and resources