So, since belonging to a group of bicycle use (leisure, sports, commute) is additive in the amount of exercise one receives, the e-bike group is automatically larger than the non-e-bike group.
How does this pass peer review?
So, since belonging to a group of bicycle use (leisure, sports, commute) is additive in the amount of exercise one receives, the e-bike group is automatically larger than the non-e-bike group.
How does this pass peer review?
- 365 e-bikers (2/3 of them from Antwerp and Zürich, only 20 from Barcelona, only 5 from London, only 18 from Örebro).
- 7212 cyclists.
- 1758 non-cyclists.
There are other things far more eyebrow-raising than the skewed sample.
> Categorical travel frequency data was converted into an average number of days per month.
> Trip distance was derived by selecting the fastest route returned by the Google Maps API
> Distances for multimodal trips were assigned to the main mode using the following hierarchy: public transport, car, e-bike, bicycle, walking
> Physical activity from active travel modes was almost the same in e-bikers and cyclists (1735 vs. 1656 MET min/wk., respectively)