Research Article
Cluster Analysis of Daily Cycling Flow Profiles during COVID-19 Lockdown in the UK
Table 2
Overview of the characteristics of each cluster.
| | Value | Cluster 1 | Cluster 2 | Cluster 3 | Cluster 4 | Cluster 5 |
| | Defining shape | Evening-only peak | Mid-day steady | Traditional commute | Late morning peak | Mid-morning peak | | Total no. of daily counts | 1797 | 2674 | 2273 | 1063 | 934 | | % of all counts (nearest 1%) | 21% | 31% | 26% | 12% | 11% |
| | Year | | | | | | | Pre-COVID-19 year | 52% | 39% | 59% | 54% | 48% | | 2020 | 48% | 61% | 41% | 46% | 52% | | Total | 100% | 100% | 100% | 100% | 100% |
| | Day of week | | | | | | | Monday | 16% | 15% | 17% | 10% | 8% | | Tuesday | 15% | 11% | 21% | 14% | 6% | | Wednesday | 15% | 12% | 19% | 14% | 5% | | Thursday | 15% | 12% | 19% | 14% | 9% | | Friday | 10% | 14% | 17% | 17% | 13% | | Saturday | 15% | 19% | 4% | 16% | 24% | | Sunday | 14% | 17% | 3% | 15% | 35% | | Total | 100% | 100% | 100% | 100% | 100% |
| | Counter location | | | | | | | Coastal | 16% | 32% | 4% | 33% | 50% | | City | 29% | 15% | 36% | 5% | 5% | | Bridge crossing | 28% | 19% | 31% | 24% | 18% | | Suburban cycleway | 17% | 24% | 9% | 9% | 13% | | Suburban main road | 10% | 10% | 20% | 29% | 14% | | Total | 100% | 100% | 100% | 100% | 100% |
| | Notable periods of lockdown restriction and easing | | | | | | | Pre-COVID-19 lockdown | 57% | 45% | 67% | 60% | 61% | | Pre-March 26, 2020 | | Full lockdown | 9% | 21% | 8% | 9% | 16% | | March 26-May 10, 2020 | | Return to work | 5% | 8% | 4% | 5% | 6% | | May 11-May 31, 2020 | | Partial school reopening | 10% | 10% | 9% | 8% | 4% | | June 1-July 3, 2020 | | Hospitality reopening | 19% | 16% | 13% | 18% | 12% | | July 4-Aug 31, 2020 | | Total | 100% | 100% | 100% | 100% | 100% |
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