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. 2018 Aug;117:75–84. doi: 10.1016/j.aap.2018.03.003

Table 3.

Area, road and travel volume predictors of any cycling injury in London: odds ratios (95% CI) (N = 12,290 points).

Model 1: area characteristics only Model 2: area and road segment characteristics Model 3: area and road segment characteristics, plus cycle and motor vehicle volumes
Region Outer 1 1* 1
Inner 0.76 (0.57, 1.02) 0.71 (0.54, 0.94) 0.97 (0.80, 1.19)



Income deprivation Change per 1 decile increase in deprivation 1.02 (1.01, 1.04)*** 1.02 (1.00, 1.03)* 1.01 (1.00, 1.03)



Road type Residential 1*** 1***
Tertiary 1.49 (1.28, 1.73) 1.29 (1.08, 1.54)
Secondary 2.37 (1.98, 2.83) 1.80 (1.44, 2.24)
Primary 2.16 (1.92, 2.44) 1.52 (1.21, 1.92)
Unclassified 1.26 (1.05, 1.51) 1.43 (1.18, 1.72)



Speed limit(mph) 20 1*** 1***
30 1.31 (1.16, 1.48) 1.26 (1.12, 1.42)
40+ 0.89 (0.64, 1.23) 0.64 (0.46, 0.89)



Bus lane No 1* 1
Yes 0.88 (0.80, 0.98) 0.92 (0.83, 1.02)



Intersection No 1*** 1***
Yes 3.50 (3.22, 3.79) 3.33 (3.07, 3.61)



Motor vehicles per day Change per 1 logarithm increase in no. motor vehicles 1.31 (1.21, 1.42)***



Cycles per day Change per 1 logarithm increase in number of cycles 0.82 (0.79, 0.84)***
*

p<0.05.

***

p < 0.001.