Individual Travel Knowledge Graph-Based Public Transport Commuter Identification: A Mixed Data Learning Approach

Table 4

Basic information statistics.

Attribute		Share (%)	Attribute		Share (%)
Passenger category	1 (commuter)	61.82	Passenger category	0 (noncommuter)	38.18
Gender	Men	48.73	Gender	Men	53.26
	Women	51.27		Women	46.74
Age	18–20	2.96	Age	18–20	2.48
	21–25	25.37		21–25	26.72
	26–35	39.75		26–35	38.57
	36–45	17.76		36–45	17.36
	46–50	9.73		46–50	7.44
	≥50	4.43		≥50	7.43
Education	High school or below	4.86	Education	High school or below	4.14
	High school	11.63		High school	14.92
	Undergraduate	74.21		Undergraduate	72.10
	Graduate or above	9.30		Graduate or above	8.84
Monthly income (RMB)	≤1500	17.30	Monthly income (RMB)	≤1,500	18.28
	1,501–3,000	7.81		1,501–3,000	9.42
	3,001–5,000	16.46		3,001–5,000	17.17
	5,001–8,000	33.12		5,001–8,000	29.36
	8,001–15,000	20.68		8,001–15,000	20.78
	≥15,000	4.63		≥15,000	4.99
Vehicle ownership	0	40.80	Vehicle ownership	0	38.67
	1	52.43		1	52.21
	2	6.13		2	7.73
	≥3	0.64		≥3	1.39
Number of weekly travel days	0	0	Number of weekly travel days	0	0
	1	2.33		1	22.73
	2	0		2	27.27
	3	9.30		3	13.64
	4	6.98		4	9.09
	≥5	81.39		≥5	27.27
Number of weekly commuting trips	0	2.50	Number of weekly commuting trips	0	59.09
	1–3	2.50		1–3	22.73
	4–6	7.50		4–6	18.18
	7–9	7.50		7–9	0
	10–12	62.50		10–12	0
	13–15	5.00		13–15	0
	≥16	12.50		≥16	0
Number of weekly leisure trips	0	22.50	Number of weekly leisure trips	0	4.55
	1–3	50.00		1–3	45.45
	4–6	25.00		4–6	40.91
	7–9	0		7–9	0
	10–12	0		10–12	9.09
	13–15	2.50		13–15	0
	≥16	0		≥16	0