Roger Beecham ([email protected])
Yuanxuan Yang ([email protected])
Caroline Tait ([email protected])
Robin Lovelace ([email protected])

This repository contains supplementary materials for:

Beecham, R., Yang, Y., Tait, C. and Lovelace, R. Connected bikeability in London: which localities are better connected by bike and does this matter?. DOI: osf.io/gbfz8.

• data-processing.md: R code for collecting and processing data underpinning the connected bikeability index:
  • London bikeshare OD trip data from TfL
  • CycleStreets routes (via batch requests)
  • Records from London's Cycle Infrastructure Database using the CycleInfraLnd package
  • Ordnance Survey Open Roads Data
• generate-index.md: R code for extracting and transforming derived variables that form the bikeability index.
• generate-villages.md: R code for generating and storing our customised bikeshare villages -- the spatial unit for analysis.
• validate-scores.md: R code for exploring how bikeability varies with observed cycle trips and London's cycling infrastructure.
• maup-analysis.md: R code for generating hypothetical outcome plots to represent uncertainty from zoning effects when aggregating OD scores to bikeshare village level.
• application.md: R code for the data analysis discussed in our index -- where geographic variation in connected bikeability is evaluated against commuting demand.