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

Table 2

Demographic, trip characteristics, and ticket usage of respondents.

Characteristic	Group	Total sample		Online sample		On-field sample		p-value
		Frequency	Percentage (%)	Frequency	Percentage (%)	Frequency	Percentage (%)
Age	<26	423	23.5	361	27.6	110	12.6	0.32
	26-55	986	54.8	690	52.7	268	60.3
	>55	391	21.7	258	19.7	113	27.1
Gender	Male	804	44.7	544	41.6	260	53.0	0.4
	Female	996	55.3	765	58.4	231	47.1
Occupation	Clerk	371	20.6	264	20.2	107	21.8	0.29
	Servant	63	3.5	46	3.5	17	3.5
	Student	149	8.3	118	9.0	31	6.3
	Freelancer	302	16.8	211	16.1	91	18.5
	Migrant worker	675	37.5	472	36.1	203	41.3
	Unemployed or retired	240	13.3	198	15.1	42	8.6
Monthly income	≤3000 CNY	130	7.2	93	7.1	37	7.5	0.51
	3001-6000 CNY	675	37.5	452	34.5	223	45.4
	6001-9000 CNY	691	38.4	496	37.9	195	39.7
	>9000 CNY	304	16.9	268	20.5	36	7.3
Education	Junior high	122	6.8	88	6.7	34	6.9	0.39
	High school	454	25.2	326	24.9	128	26.1
	Junior college	503	27.9	368	28.1	135	27.5
	College	538	29.9	407	31.1	131	26.7
	Postgraduate	183	10.2	120	9.2	63	12.8
Trip purpose	business	810	45.0	640	48.9	170	34.6	0.71
	nonbusiness	990	55.0	669	51.1	321	65.4
Ticket channel	Counters	626	34.8	404	30.9	222	45.2	0.58
	Agencies	133	7.4	88	6.7	45	9.2
	Websites	497	27.6	376	28.7	121	24.6
	Apps	395	21.9	313	23.9	82	16.7
	Tvms	149	8.3	128	9.8	21	4.3