Table 3.
Bayesian conditional autoregressive logit model for presence of bicycle crashes in intersections and street segments, 13 inner Melbourne LGAs; n = 89,729.
| Fixed Effects | Interaction * Bike Lane | |||
|---|---|---|---|---|
| OR | (95% CrI) | OR | (95% CrI) | |
| Intersections (nodes) | ||||
| Intersection | 3.721 | (2.604, 5.270) | 1.119 | (0.59, 62.083) |
| Type | ||||
| Roundabout | 13.423 | (10.559, 17.030) | 0.667 | (0.392, 1.132) |
| Signalized | 3.222 | (2.501, 4.112) | 0.853 | (0.605, 1.202) |
| Unsignalized [ref] | ||||
| Signed speed (maximum signed speed in cross street) | ||||
| < 50 km/h [ref] | ||||
| 50 km/h | 0.609 | (0.451, 0.830) | 0.688 | (0.338, 1.411) |
| 60 km/h | 2.031 | (1.478, 2.801) | 0.316 | (0.190, 0.530) |
| > 60 km/h | 1.687 | (1.099, 2.586) | 0.398 | (0.187, 0.840) |
| Bus route | 1.050 | (0.794, 1.392) | 0.971 | (0.623, 1.498) |
| Tram route | 0.793 | (0.564, 1.105) | 1.024 | (0.633, 1.639) |
| Street Segments (links) | ||||
| Bridge | 1.276 | (0.636, 2.321) | 0.660 | (0.257, 1.697) |
| One way | 0.486 | (0.357, 0.653) | 1.328 | (0.682, 2.453) |
| Bus route | 2.406 | (1.908, 3.028) | 0.494 | (0.344, 0.711) |
| Bus stop | 1.069 | (0.800, 1.427) | 0.999 | (0.624, 1.588) |
| Tram route | 4.238 | (3.180, 5.624) | 0.686 | (0.459, 1.039) |
| Tram stop | 6.666 | (4.988, 8.864) | 0.591 | (0.382, 0.912) |
| Length (100m) | 1.883 | (1.768, 2.005) | ||
| Signed speed | ||||
| < 50 km/h [ref] | ||||
| 50 km/h | 0.409 | (0.313, 0.535) | 1.163 | (0.697, 1.937) |
| 60 km/h | 2.522 | (1.935, 3.310) | 0.261 | (0.170, 0.398) |
| > 60 km/h | 2.697 | (1.715, 4.145) | 0.175 | (0.058, 0.470) |
| Pedestrian crossing | 1.469 | (1.023, 2.064) | 0.972 | (0.583, 1.638) |
| Roadway width per traffic lane | 0.954 | (0.823, 1.092) | 1.159 | (1.068, 1.261) |
| Bike lane | 5.307 | (3.099, 8.820) | ||
Nb. Bolded estimates do not include a credible interval of OR = 1.000