Table 2.

Results for the relationship between ridesharing and public transit use (dependent variable: Rideshare).

Variables	Coef.	Std. Err.	z-Value	p-Value	Marginal Effects
non-zero state (not always 0)
Ptused	0.012 ***	0.002	7.30	0.000	1.2%
Female	−0.098 ***	0.021	−4.57	0.000	−9.3%
Age	−0.010 ***	0.001	−12.59	0.000	−1.0%
Education	−0.034 **	0.012	−2.74	0.006	−3.4%
White	0.013	0.027	0.49	0.621	1.3%
Worker	0.008	0.029	0.29	0.772	0.8%
Driver	−0.446 ***	0.044	−10.07	0.000	−36.0%
HHincome	0.059 ***	0.005	12.73	0.000	6.0%
HHvehcount	−0.082 ***	0.009	−8.80	0.000	−7.9%
Homerent	0.232 ***	0.026	8.77	0.000	26.1%
Pdensity	0.139 ***	0.010	13.84	0.000	14.9%
Rail	0.110 ***	0.025	4.44	0.000	11.6%
Urban	−0.363 ***	0.055	−6.62	0.000	−30.5%
Spring	0.137 ***	0.031	4.48	0.000	14.7%
Summer	−0.086 **	0.029	−2.91	0.004	−8.2%
Winter	0.009	0.028	0.33	0.738	0.9%
Intercept	0.562 ***	0.104	5.39	0.000
zero state (odds of always 0)
Ptused	−0.059 ***	0.003	−18.23	0.000	−5.7%
Female	0.112 ***	0.023	4.93	0.000	11.9%
Age	0.040 ***	0.001	50.69	0.000	4.1%
Education	−0.464 ***	0.012	−38.42	0.000	−37.1%
White	−0.145 ***	0.029	−4.95	0.000	−13.5%
Worker	−0.361 ***	0.028	−12.97	0.000	−30.3%
Driver	−0.354 ***	0.050	−7.04	0.000	−29.8%
HHincome	−0.245 ***	0.005	−45.22	0.000	−21.7%
HHvehcount	0.210 ***	0.012	18.16	0.000	23.4%
Homerent	−0.610 ***	0.029	−20.87	0.000	−45.6%
Pdensity	−0.264 ***	0.011	−24.68	0.000	−23.2%
Rail	−0.316 ***	0.028	−11.40	0.000	−27.1%
Urban	−0.236 ***	0.050	−4.72	0.000	−21.0%
Spring	0.078 *	0.033	2.41	0.016	8.2%
Summer	0.120 ***	0.032	3.81	0.000	12.8%
Winter	−0.078 **	0.030	−2.58	0.010	−7.5%
Intercept	6.098 ***	0.105	57.82	0.000
Number of obs.		226,824
Nonzero obs.		17,030
Zero obs.		209,794
Log likelihood		−83,927.93
LR chi2		1766.91 ***

p-Value: * p < 0.05; ** p < 0.01; *** p < 0.001. (The bold figures in this table represent their p-Values are less than 0.05)