Supplementary materials for the paper Connected bikeability in London: which localities are better connected by bike and does this matter?.
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.