Table 2.
Ordinal regression analysis to predict use of public transportation.
| Predictors | Estimate | SE | P Value | OR | 95% CI |
|---|---|---|---|---|---|
| Sociodemography | |||||
| Age (in years) | −0.03 | 0.00 | <0.001 | 0.97 | [−0.03, −0.02] |
| Gender (RG: Male) | 0.19 | 0.10 | =0.060 | 1.21 | [0.01, 0.38] |
| Income (RG: High income) | |||||
| Medium income | −0.18 | 0.11 | =0.100 | 0.84 | [−0.40, 0.04] |
| Low income | 0.22 | 0.14 | =0.124 | 1.25 | [−0.06, 0.50] |
| Education (RG: High education) |
|||||
| Medium education | −0.58 | 0.11 | <0.001 | 0.56 | [−0.80, −0.37] |
| Low education | −0.95 | 0.17 | <0.001 | 0.39 | [−1.28, −0.61] |
| Geography (Residential area) | |||||
| (RG: Large city) | |||||
| Medium-sized town/city | −1.35 | 0.14 | <0.001 | 0.26 | [−1.62, −1.07] |
| Small town | −2.09 | 0.17 | <0.001 | 0.12 | [−2.43, −1.76] |
| Rural area | −2.55 | 0.18 | <0.001 | 0.08 | [−2.91, −2.19] |
| Personality | |||||
| Openness | 0.20 | 0.07 | =0.003 | 1.22 | [0.07, 0.32] |
| Conscientiousness | −0.17 | 0.09 | =0.049 | 0.84 | [−0.34, 0.00] |
| Extraversion | −0.14 | 0.07 | =0.048 | 0.87 | [−0.28, 0.00] |
| Agreeableness | 0.26 | 0.10 | =0.005 | 1.30 | [−0.08, 0.45] |
| Neuroticism | −0.04 | 0.08 | =0.581 | 0.96 | [−0.19, 0.11] |
Note. Bold value entries imply statistically significant effects (p ˂ 0.05). SE = stander error; OR = odds ration; CI = confidence interval of the estimates. The question was “How often have you used public transportation during the past twelve months?” and the response scale was a seven-point ordinal scale ranging from 1 (“never”) to 7 (“several days a week”). Scales for independent variables were as follows—age 18–85; gender, 0 or 1; educational attainment 1–4 (ordinal scale); household income, 1−3 (ordinal scale); residential area scale 1–4 (ordinal scale); personality factors 1–4 (from low degree to high degree). RG = Reference Group.