Table 5. Multivariate logistic regression results.
Variable | Overtaking crashes | Rear-end crashes | Door crashes | |||
---|---|---|---|---|---|---|
AOR (95% CI) | p value | AOR (95% CI) | p value | AOR (95% CI) | p value | |
Light condition | ||||||
Daylight Darkness-lit Darkness-unlit |
Ref 0.81 (0.80, 0.84) 0.92 (0.90, 0.93) |
<0.001 0.001 |
Ref 1.04 (1.00, 1.09) 1.49 (1.40, 1.57) |
0.041 <0.001 |
Ref 1.23 (1.20, 1.24) 0.87 (0.86, 1.02) |
<0.001 0.136 |
Speed limit | ||||||
Rural (≥40 mph) Urban (20–30 mph) |
Ref 0.45 (0.43, 0.47) |
<0.001 |
Ref 0.76 (0.74, 0.79) |
<0.001 |
Ref 16.2 (13.5, 19.4) |
<0.001 |
Crash time | ||||||
Midnight Rush hours Nonrush hours Evening |
1.07 (0.98, 1.17) 1.06 (1.00, 1.12) 1.09 (1.03, 1.15) Ref |
0.119 0.043 0.003 |
1.28 (1.21, 1.40) 1.12 (1.09, 1.15) 1.01 (0.96, 1.10) Ref |
<0.001 <0.001 0.639 |
0.50 (0.46, 0.53) 1.49 (1.45, 1.62) 1.90 (1.81, 1.93) Ref |
<0.001 <0.001 <0.001 |
Crash day | ||||||
Weekend Weekday |
Ref 0.97 (0.96, 1.01) |
0.133 |
Ref 1.09 (1.06, 1.12) |
<0.001 |
Ref 1.25 (1.16, 1.34) |
<0.001 |
Cyclist’s age (years) | ||||||
≤18 19–40 41–64 ≥65 |
Ref 1.29 (1.24, 1.35) 1.51 (1.44, 1.58) 1.79 (1.65, 1.93) |
<0.001 <0.001 <0.001 |
Ref 1.84 (1.79, 1.89) 1.73 (1.68, 1.79) 1.67 (1.57, 1.78) |
<0.001 <0.001 <0.001 |
Ref 5.94 (5.49, 6.44) 6.13 (5.62, 6.68) 5.99 (5.22, 6.87) |
<0.001 <0.001 <0.001 |
Cyclist’s sex | ||||||
Male Female |
Ref 1.11 (1.06, 1.15) |
<0.001 |
Ref 0.85 (0.83, 0.90) |
<0.001 |
Ref 1.68 (1.58, 1.77) |
<0.001 |
Crash partner | ||||||
Taxi/Private hire car Car Bus/HGV |
0.64 (0.61, 0.69) Ref 1.30 (1.27, 1.33) |
<0.001 <0.001 |
1.29 (1.19, 1.39) Ref 1.10 (1.06, 1.14) |
<0.001 <0.001 |
1.61 (1.59, 1.69) Ref 0.48 (0.45, 0.49) |
<0.001 <0.001 |
Crash partner’s age (years) | ||||||
≤18 19–40 41–64 ≥65 |
1.10 (0.96, 1.25) Ref 0.95 (0.91, 0.99) 2.01 (1.94, 2.09) |
0.162 0.025 <0.001 |
1.19 (1.17, 1.24) Ref 0.96 (0.95, 0.98) 1.20 (1.18, 1.31) |
<0.001 0.026 <0.001 |
0.65 (0.63, 0.68) Ref 0.95 (0.93, 0.98) 0.54 (0.52, 0.57) |
<0.001 <0.001 <0.001 |
Crash partner’s sex | ||||||
Male Female |
1.35 (1.29, 1.42) Ref |
<0.001 |
1.15 (1.12, 1.19) Ref |
<0.001 |
1.37 (1.30, 1.46) Ref |
<0.001 |