Modelling the Air Ticket Purchase Behavior Incorporating Latent Class Model

Table 6

Estimation results of the latent-NL model.

	NL	Latent-NL
		S1	S2	S3
Constants
Peak-hour flight	3.162	2.134	3.072	4.671
Normal day-time flight	3.245	2.093	3.018	2.387
Evening flight	3.076	2.110	3.159	3.762
Normal train	1.890	2.272	0.995	0.265
High-speed train	2.764	1.958	3.012	2.316
Private car	0.561	0.006	0.821	0.043
Rented car	0.874	0.019	0.439	0.019
Daytime coach	0.145	0.189	0.062	0.004
Environmental variables
Origin	0.001	0.000	0.007	0.012
Destination	−0.001	0.000	−0.015	−0.016
Travel purpose	0.032	0.012	0.019	0.033
Travel distance	−0.005	−0.004	−0.006	−0.002
Generic variables
Departure time	−0.184	−0.035	−0.232	−0.711
Travel time	−1.017	−0.569	−0.876	−1.284
Delay time	−0.514	−0.082	−0.414	−1.617
Access time	−0.043	−0.024	−0.089	−0.286
Specific variables
Air fare	−1.015	−1.558	−0.992	−0.538
Normal train fare	−0.547	−0.627	−0.413	−0.294
High-speed train fare	−0.972	−1.059	−0.815	−0.419
Rented car fare	−0.867	−0.966	−0.812	−0.421
Private car fare	−0.708	−0.893	−0.782	−0.305
Coach fare	−0.559	−0.789	−0.497	−0.207
Personal feature variables
Age	−0.231		−0.114	−0.275
Occupation	0.086		0.076	0.085
Position	0.149		0.186	0.214
Income	0.017		0.007	0.013
Frequent travel purpose	0.159		0.213	0.165
Long distance frequency	−0.356		−0.218	−0.492
Purchase date for business	−0.002		−0.035	−0.006
Purchase date for leisure	−0.016		−0.089	−0.027
%	—	41.04	37.89	21.07
Pseudo R^2	0.35	0.37	0.45	0.41

Significant at the 1% level. Significant at the 5% level. Significant at the 10% level.