Modeling and Analysis of Ticketing Channel Choice for Intercity Bus Passengers: A Case Study in Beijing, China

Table 6

Effects on latent variables dependent upon demographic characteristics.

Channels	Latent Variables	Age	Gender	Occupation	Income	Education
Counters		0.119	0.022	−0.035	−0.098	−0.008
		(1.78)	(−0.45)	(−0.50)	(−1.19)	(−0.78)
		0.055	−0.040	−0.039	0.012	−0.009
		(0.87)	(−0.91)	(0.86)	(1.32)	(−1.11)
		0.018	0.037	0.010	0.056	0.002
		(1.18)	(−0.64)	(0.75)	(1.75)	(−0.08)
Ticketing agencies		0.005	0.112	0.014	0.024	0.022
		(−0.65)	(−1.33)	(1.44)	(0.80)	(−0.99)
		0.020	−0.067	0.068	0.085	−0.131
		(−1.1)	(0.58)	(2.06)	(1.11)	(−1.21)
		0.018	−0.098	−0.049	0.005	0.074
		(1.04)	(0.61)	(−1.27)	(0.59)	(1.30)
Websites		0.014	−0.152	0.017	−0.121	0.038
		(1.85)	(−0.38)	(1.40)	(1.22)	(0.56)
		0.017	−0.045	−0.068	−0.024	0.044
		(−2.02)	(−1.29)	(1.88)	(−0.66)	(1.35)
		0.045	0.004	0.049	0.083	0.029
		(1.49)	(0.99)	(1.41)	(−0.92)	(1.92)
Apps		0.101	0.005	0.014	0.005	0.007
		(0.81)	(−0.97)	(1.05)	(−1.11)	(1.20)
		−0.222	0.051	−0.028	0.068	0.145
		(−2.88)	(0.86)	(−0.58)	(2.51)	(4.90)
		−0.018	−0.001	0.025	0.092	0.127
		(1.69)	(1.40)	(0.36)	(−1.43)	(−3.33)
Tvms		−0.083	0.016	0.009	−0.004	0.014
		(−1.81)	(−0.39)	(−0.99)	(0.81)	(1.30)
		−0.132	−0.031	−0.014	0.108	0.069
		(−3.85)	(−0.49)	(0.44)	(3.14)	(−1.17)
		0.024	0.004	0.105	0.046	0.087
		(1.59)	(1.09)	(−0.76)	(−1.43)	(5.59)

Notes: means p < 0.05; means p < 0.01.