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

Table 7

Comparison of the estimation results.

Variables	Integrated choice and latent variable model				Multinomial logit (MNL) model
	Counters	Ticketing Agencies	Apps	Tvms	Counters	Ticketing Agencies	Apps	Tvms
Constant	−1.076	−0.132	1.531	−0.105	−1.002	−0.15	1.011	0.183
	0.819	11.55	−0.586	0.128	1.392	15.79	−0.839	0.212
	1.855	−0.219	−1.206	0.532	0.557	−0.598	0.851	0.022
	1.329	2.257	−0.281	−12.769	1.032	0.409	−0.667	−0.175
	0.972	0.311	1.056	0.657	0.751	0.219	0.971	0.356
	3.197	2.988	1.336	0.715	2.187	3.15	1.159	1.76
	−0.196	−0.803	0.033	−0.901	−0.083	−3.5	1.902	0.026
	−0.597	−0.169	0.891	−0.359	−0.081	−0.453	0.661	0.229
	1.794	1.208	−0.926	3.971	1.097	1.946	0.061	2.667
	−0.898	−10.238	0.121	−0.303	−1.186	9.927	0.198	−0.664
	0.279	0.13	1.07	0.398	-	-	-	-
	−0.39	−0.35	1.362	0.18	-	-	-	-
	0.17	0.271	0.117	0.138	-	-	-	-
Samples	1800				1800
likelihood	2981.77				1761.29
log-likelihood	−100.87				−589.26
R^2	0.435				0.379

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