Table 1.

Ordinal regression analysis to predict car use.

Predictors	Estimate	SE	P Value	OR	95% CI
Sociodemography
Age (in years)	0.02	0.00	<0.001	1.02	[0.01, 0.02]
Gender (RG: Male)	−0.83	0.12	<0.001	0.44	[−1.06, −0.59]
Income (RG: High income)
Medium income	−0.37	0.14	=0.009	0.69	[−0.65, −0.09]
Low income	−1.39	0.17	<0.001	0.25	[−1.72, −1.07]
Education (RG: High education)
Medium education	0.18	0.13	=0.157	1.20	[−0.07, 0.44]
Low education	−0.36	0.20	=0.079	0.70	[−0.75, 0.04]
Geography (Residential area)
(RG: Large city)
Medium-sized town/city	0.89	0.14	<0.001	2.44	[0.61, 1.17]
Small town	1.63	0.20	<0.001	5.10	[1.24, 2.01]
Rural area	2.86	0.27	<0.001	17.46	[2.32, 3.39]
Personality
Openness	−0.17	0.08	=0.028	0.84	[−0.33, −0.02]
Conscientiousness	0.17	0.10	=0.102	1.19	[−0.03, 0.37]
Extraversion	0.23	0.08	=0.006	1.26	[0.07, 0.40]
Agreeableness	−0.16	0.11	=0.158	0.85	[−0.38, 0.06]
Neuroticism	−0.20	0.09	=0.021	0.82	[−0.37, −0.03]

Note. Bold value entries imply statistically significant effects (p ˂ 0.05). SE = stander error; OR = odds ratio; CI = confidence interval of the estimates. The question was “How often have you driven a car 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 (ordinal scale, from low degree to high degree). RG = Reference Group.