Table 3.
Probability that survey participants from car-free households missed owning a car during the lockdown period in spring 2020. Estimation results (and the corresponding levels of significance) of a binary logistic regression model.
| Parameters | Miss owning a car: yes |
|---|---|
| Intercept | −0.260** |
| Gender: female | 0.121* |
| Age group: 18–24 years | 0.284*** |
| Age group: 25–34 years | 0.188** |
| Age group: 35–44 years | 0.224** |
| Employment status: employed & not commuting during the lockdown | 0.232*** |
| Place of living: metropolises, regiopolises and major cities in urban regions | −0.113* |
| Public transport usage during the lockdown: yes | 0.186*** |
| Changed attitudes: feeling (much) more inconvenient using public transport than before the COVID-19 pandemic | 0.186*** |
| Statement „Me and/or persons in my family belong to the COVID-19 risk group”: agree or highly agree | 0.117* |
| Statement “I am directly responsible for the improvement or impairment of my health”: agree or highly agree |
0.123* |
| Number of observations | 188 |
| Log-likelihood with constants only | −121.2172 |
| Log-likelihood at convergence | −101.5043 |
| McFadden R2(constants-only base) | 0.163 |
Significance levels: *** 1% level ** 5% level * 10% level.