Revealing the Influence Mechanism of Urban Built Environment on Online Car-Hailing Travel considering Orientation Entropy of Street Network

Table 6

Comparison of parameter estimation results of SDM model.

Variable	Coefficient	t-statistic
Constant	6.202	4.360
Bus station (BS)	0.146	2.252
Residential district (RD)	0.201	3.612
Catering service (CS)	0.174	2.156
Shopping service (SS)	0.131	2.218
Corporate business (CB)	0.091	2.141
Sports and leisure service (SL)	0.009	0.135
Science zone (SZ)	0.059	0.761
Public facility (PF)	−0.027	−0.466
Finance and insurance services (FI)	−0.009	−0.141
Education and culture (EC)	0.065	1.274
Life service (LS)	0.140	2.162
Medical and health (MH)	0.016	0.283
Government and administration (GA)	−0.023	−0.735
Accommodation service (AS)	0.053	1.075
Land-use mix (LM)	0.218	0.951
Population density (PD)	−0.023	−0.761
Distance to CBD (DC)	0.034	1.235
Orientation order (OO)	0.147	1.847
W  BS	0.101	0.540
W  RD	−0.092	−0.651
W  CS	0.405	2.619
W  SS	0.111	0.753
W  CB	0.171	1.760
W  SL	−0.403	−2.923
W  SZ	0.051	0.297
W  PF	−0.099	−0.807
W  FI	−0.218	−1.687
W  EC	0.147	1.262
W  LI	−0.246	−1.463
W  MH	0.060	0.463
W  GA	−0.010	−0.091
W  AS	−0.008	−0.080
W  LM	−1.442	−2.259
W  PD	−0.479	−1.593
W  DC	−0.185	−1.046
W  OO	−0.095	−2.065
ρ	0.111	7.139

Note: ^∗∗∗, ^∗∗, and ^∗ refer to significance at the level of 0.01, 0.05, and 0.1, respectively; W is the spatial weight matrix.