Table 2.

Conditional logistic regression models for taxi zone-hours in which any injury crash occurred compared to 2 matched control taxi zone-hours; January 2017- December 2018. Outcomes are all injury crashes (Model 1; n = 245,148 taxi zone-hours), motorist crashes (Model 2; n = 159,756 taxi zone-hours), pedestrian crashes (Model 3; n = 61,359 taxi zone-hours), and cyclist crashes (Model 4; n = 26,640 taxi zone-hours). Exposure of interest is rideshare trip origins.

	Model 1: All injury crashes			Model 2: Motorist crashes			Model 3: Pedestrian crashes			Model 4: Cyclist crashes
	OR	95%	CI	OR	95%	CI	OR	95%	CI	OR	95%	CI
Rideshare trips (per 100 increase)	1.046	(1.032,	1.060)	1.044	(1.025,	1.062)	1.061	(1.035,	1.087)	1.016	(0.983,	1.050)
Taxi trips (per 100 increase)	0.994	(0.977,	1.011)	0.986	(0.962,	1.011)	0.989	(0.960,	1.019)	1.032	(0.989,	1.077)
Temperature (per 10 degree increase)	1.010	(1.006,	1.015)	1.008	(1.002,	1.014)	1.010	(1.000,	1.020)	1.039	(1.023,	1.056)
Precipitation (per 0.1 inch increase)	1.155	(1.121,	1.190)	1.069	(1.032,	1.108)	1.633	(1.523,	1.751)	0.869	(0.771,	0.980)
Any holiday	0.872	(0.833,	0.913)	0.906	(0.857,	0.958)	0.789	(0.718,	0.866)	0.844	(0.727,	0.980)
School not in session, not holiday	0.933	(0.900,	0.967)	0.940	(0.899,	0.983)	0.866	(0.807,	0.930)	1.049	(0.936,	1.175)