Promoting urban light rail transit in a compact city context: the case of Toyama City, Japan

Figures & data

Table 1. Participants’ general demographics (n = 777)

Variable	n (%)
Sex
Male	392 (50.5%)
Female	385 (49.5%)
Age (years)
20–34	62 (8.0%)
35–44	153 (19.7%)
45–54	281 (36.2%)
55–64	170 (21.9%)
65–74	91 (11.7%)
75–84	20 (2.6%)
Education
Junior high school	20 (2.6%)
High school	332 (42.7%)
Vocational school	168 (21.6%)
University	232 (29.9%)
Graduate school	25 (3.2%)

Table 2. Behavioural intention and actual behaviours (n = 777)

Behavioural intention/actual behaviour	n (%)
Do you intend to use the LRT when you go out?
Very strongly negative	137 (17.6%)
Strongly negative	98 (12.6%)
Negative	88 (11.3%)
Neutral	204 (26.3%)
Positive	138 (17.8%)
Strongly positive	77 (9.9%)
Very strongly positive	35 (4.5%)
How often do you use the LRT?
No use	377 (48.5%)
Once or twice a year	242 (31.1%)
Once every two or three months	75 (9.7%)
Once or twice every month	50 (6.4%)
Once or twice every week	15 (1.9%)
More than three times every week	18 (2.3%)

Figure 1. Structural equation model on light rail transit (LRT).