- Where will cycling uptake happen?
- Recent additions to the PCT
- Tech for cycling uptake
- Question: who has heard of the PCT?
- Who has used the PCT?
2017-03-16. Slides: rpubs.com/RobinLovelace. Audio: here.
Contents
Where will cycling uptake happen?
Prior work (source: Lovelace et al. 2017)
| Tool | Scale | Coverage | Public access | Format of output | Levels of analysis | Software licence |
|---|---|---|---|---|---|---|
| Propensity to Cycle Tool | National | England | Yes | Online map | A, OD, R, RN | Open source |
| Prioritization Index | City | Montreal | No | GIS-based | P, A, R | Proprietary |
| PAT | Local | Parts of Dublin | No | GIS-based | A, OD, R | Proprietary |
| Usage intensity index | City | Belo Horizonte | No | GIS-based | A, OD, R, I | Proprietary |
| Bicycle share model | National | England, Wales | No | Static | A, R | Unknown |
| Cycling Potential Tool | City | London | No | Static | A, I | Unknown |
| Santa Monica model | City | Santa Monica | No | Static | P, OD, A | Unknown |
The PCT team
"If you want to go far, go as a team"
Robin Lovelace (Lead Developer, University of Leeds)
- James Woodcock (Principal Investigator, Cambridge University)
- Anna Goodman (Lead Data Analyst, LSHTM)
- Rachel Aldred (Lead Policy and Practice, Westminster University)
- Ali Abbas (User Interface, University of Cambridge)
- Alvaro Ullrich (Data Management, University of Cambridge)
- Nikolai Berkoff (System Architecture, Independent Developer)
- Malcolm Morgan (GIS and infrastructure expert, UoL)
The PCT in CWIS and LCWIP
Included in Cycling and Walking Infrastructure Strategy (CWIS) and the Local Cycling and Walking Infrastructure Plan (LCWIP)
How the PCT works
Shows on the map where there is high cycling potential, for 4 scenarios of change
- Government Target
- Gender Equality
- Go Dutch
- Ebikes
Scenario shift in desire lines
Source: Lovelace et al. (2017)
- Origin-destination data shows 'desire lines'
- How will these shift with cycling uptake
Scenario shift in network load
A live demo for Leeds
"Actions speak louder than words"
Recent additions to the PCT
Travel to schools layer
Prototype online
Overlaying propensity to cycle to school and work
New LSOA layer
Tech for cycling uptake
Crowd sourced data (Strava vs PCT)
Innovative infrastructure
More research needed to find what works
"few studies link ridership with newer (innovative) types of infra- structure, particularly intersection treatments. More research is needed on the effect of bicycle-specific treatments, including bike boxes, traffic signals, and two-stage queue boxes, and treatments where cycle tracks reach intersections"
- But whole network design found to be important (Buehler and Dill 2016).
Where to prioritise?
New tech can answer this question
- Plans to create a toolkit for cycling infrastructure prioritisation
- Combines many datasets to identify 'low hanging fruit'
Credit: Malcolm Morgan
Recommendations
- Use the Propensity to Cycle Tool. Download its data.
- Design cycling networks not schemes (Buehler and Dill 2016)
- Design for the long term - have a vision and prioritise it
- Experiment, monitor, adapt. (See experimental Traffic Regulation Order (TRO) case in Tavistock Place)
- Get yourself and team skilled up in open source software
- Collaborate
- Plug: R for Transport Applications course - 26th - 27th April, Leeds (also see other events, e.g. courses on QGIS and Cycle City Active Bradford)
References
- Thanks for listening. Find me
@robinlovelaceor contact me on r . lovelace@leeds.ac.uk
Buehler, Ralph, and Jennifer Dill. 2016. “Bikeway Networks: A Review of Effects on Cycling.” Transport Reviews 36 (1): 9–27. doi:10.1080/01441647.2015.1069908.
Lovelace, Robin, Anna Goodman, Rachel Aldred, Nikolai Berkoff, Ali Abbas, and James Woodcock. 2017. “The Propensity to Cycle Tool: An Open Source Online System for Sustainable Transport Planning.” Journal of Transport and Land Use, December. doi:10.5198/jtlu.2016.862.