Mode Choice Model for Public Transport with Categorized Latent Variables

Table 2

Summary of collected data.

Item		Proportion	Note
Gender	Male	60.1%
	Female	39.9%
Age	Under 18	0.7%
	19 to 35	87.8%
	36 to 55	10.1%
	Over 56	1.4%
Occupation	Student	44.6%	The sum of these three proportions of commenters is 93.9%, which is in line with the fact that commuters for work or school account for 75%.
	Staff in government or public institution	25.0%
	Staff in enterprise	24.3%
	Other	6.1%
Education background	Completion of specialized or general sec. ed. & under	2.0%
	Technical secondary school, junior college, and university	52.7%
	Master degree or above	45.3%
Income/month	Under 1,000	32.4%	Nearly half of the respondents are students, so the income is quite low.
	1,000 to 2,000	23.0%
	2,000 to 3,000	19.6%
	3,000 to4,000	15.5%
	Over 4,000	9.5%
Vehicle ownership	Car	21.6%
	Bicycle	27.0%
	Electric bicycle	8.2%
	Other vehicle	43.2%
Trips/day	0 to 1 time	28.4%
	2 to 4 times	65.5%
	Over 5 times	6.1%
Trip purpose	Work or school	75.0%
	Shopping	15.5%
	Recreation	4.7%
	Other	4.7%