A New Big Data Approach to Understanding General Traffic Impacts on Bus Passenger Delays

Table 3

Regression results using the ordinary least squares model.

		Coef	Std. error	SC	R^2	N
					0.644	21,591
β0	Constant	438.478	4.253
β1	Stream ridership (SR)	4.238	0.052	0.440
β2	Traffic flow rate (TFR)	0.116	0.005	0.174
β3	Inductive loop occupancy (ILOP)	7.964	0.352	0.170
β4	General traffic time (GTT)	0.231	0.013	0.100
β5	Accumulated rainfall (AR)	14.112	3.301	0.018
β6	Previous ridership (PR)	0.822	0.051	0.098

Coefficients are significant at the 99% level.