Table 2.

Bayesian conditional autoregressive logit models, Odds Ratios (OR) with Credible Intervals (CI) for the odds of an injury crash occurring on a street segment from 2011 to 2014, Philadelphia (n = 37,673). A CI that includes the null value of 1.00 provides evidence against an association.

	Model 1			Model 2
	IRR	(95% CI)		IRR	(95% CI)
Intersections – EXITS
2	0.930	0.694	1.231	0.811	0.560	1.148
3	1.003	0.878	1.145	1.022	0.878	1.187
4	1.315	1.124	1.539	1.531	1.279	1.829
≥5	1.206	1.038	1.400	1.147	0.967	1.355
Intersections – stop type
All way stop signs	1.166	0.999	1.365	1.190	1.006	1.408
One or two way stop signs	0.769	0.669	0.884	0.878	0.749	1.033
Signalized	2.281	1.957	2.657	2.326	1.965	2.757
Other (incl. pedestrian crossing)	0.679	0.579	0.795	0.721	0.602	0.864
Street – vehicular traffic
No estimate available [reference]
Low volume	1.447	1.213	1.720	1.509	1.230	1.844
Moderate volume	2.062	1.725	2.466	2.122	1.711	2.618
High volume	2.389	1.996	2.855	2.768	2.239	3.404
Street - Characteristics
Length (100 m)	1.208	1.144	1.278	1.206	1.142	1.275
One way	1.079	0.944	1.232	1.119	0.972	1.291
Bicycle traffic index	1.100	1.061	1.141	1.100	1.053	1.147
Trolley	0.969	0.806	1.158	0.962	0.754	1.213
Bicycle lane	1.436	1.239	1.661	4.568	2.425	8.593
Interactions
Bike lane * 2 exits				1.537	0.822	2.855
Bike lane * 3 exits				0.902	0.654	1.243
Bike lane * 4 exits				0.524	0.363	0.756
Bike lane * ≥5 exits				1.217	0.855	1.728
Bike lane * All way stop signs				1.043	0.651	1.658
Bike lane * One or two way stop signs				0.601	0.439	0.824
Bike lane * Signalized				0.981	0.658	1.496
Bike lane * Other (incl. pedestrian crossing)				0.812	0.563	1.170
Bike lane * Class code 2
Bike lane * Class code 3
Bike lane * One Way				0.769	0.572	1.028
Bike lane * Bicycle traffic index				1.000	0.925	1.081
Bike lane * Trolley				1.008	0.699	1.452
Bike lane * Low volume				0.735	0.477	1.146
Bike lane * Moderate volume				0.788	0.518	1.210
Bike lane * High volume				0.572	0.373	0.885