Understanding City-Wide Ride-Sourcing Travel Flow: A Geographically Weighted Regression Approach

Table 6

Average coefficient of the GWR model during various periods.

Explanatory variable		Weekday	Weekend	AM peak	PM peak	Off-peak
NA	Constant	0.000	0.000	0.000	0.000	0.000
Residential area variables	O_pop	0.098	0.108	0.097	0.094	0.107
	D_pop	0.195	0.228	0.182	0.231	0.202
POIs variables	O_education	−0.234	−0.270	−0.257	−0.276	−0.227
	D_education	−0.117	−0.085	−0.350	−0.098	−0.030
	O_enterprise	0.228	0.182	−0.002	0.191	0.296
	D_enterprise	0.216	−0.244	0.273	−0.180	−0.228
	O_hotel	0.172	0.147	0.162	0.185	0.156
	D_hotel	0.301	0.204	0.420	0.247	0.233
	O_entertainment	−0.050	0.076	0.249	0.029	−0.118
	D_entertainment	0.197	0.216	0.497	0.152	0.128
	O_spots	0.006	0.024	−0.020	0.002	0.027
	D_spots	−0.119	−0.080	−0.194	−0.081	−0.090
Bus station variables	O_bus	0.533	0.519	0.195	0.543	0.631
	D_bus	0.247	0.349	−0.053	0.289	0.380
Subway station variables	O_subway	−0.196	−0.216	−0.217	−0.206	−0.195
	D_subway	−0.225	−0.214	−0.249	−0.209	−0.218