Table 1.
Summary of the available studies during COVID-19 of cycling user behaviour.
| Author (s) | Year | Research focus | Trip orders (per day) | Average trip duration (min) | Main findings | Countries/cites | |
|---|---|---|---|---|---|---|---|
| Teixeira et al. |
2020 |
Bike share systems |
- |
19 |
Outperforms the metro system. |
New York city |
|
| Lock | 2020 | Cycling behaviour changes | - | - | Increased imperative for new cycle. | Sydney | |
| Nikiforiadis et al. | 2020 | Bike-Sharing Usage | – | – | COVID-19 will have little impact. | Thessaloniki, Greece | |
| Shang et al. | 2021 | User behaviors | 197, 350 | 22.16 | Avoid harsh regions. | Beijing | |
| Hu et al. | 2021 | Spatiotemporal changing patterns | 3287 | 27.12 | Increase-decrease-rebound. | Chicago | |
| Chibwe | 2021 | An exploratory analysis | 27,054.18 | – | Exploring the variability in the demand for the London bike-sharing system over the study period. | London | |
| Kubaľák et al. | 2021 | Shared mobility service | 532.9 | 9.22 | Use low-risk transport. | Slovakia | |
| Schwizer | Schweizer et al., 2021a, Schweizer et al., 2021b | Outdoor cycling activities | – | – | Increase by 81% in Apri | German | |
| Bergantino et al. | 2021 | Influencing factors | – | – | Change travel habits | Italy |