An Open Access Journal
Variables | |
---|---|
Gender | |
Male | 63.5% |
Female | 36.5% |
Age | 44 years |
Spatial Context | |
City area | 28.5% |
Urban area | 42.0% |
Suburban area | 22.1% |
Rural area | 6.6% |
Other | 0.8% |
Status | |
Pupil-student | 7.2% |
Private sector employee | 34.4% |
Civil servant | 20.4% |
Self-employed/Entrepreneur | 17.1% |
Retired | 12.7% |
Unemployed | 3.0% |
Other | 5.2% |
Trips on a Weekly Basis | |
Private car | 7.24 |
Public transport | 4.66 |
Taxi | 0.46 |
“Uber type” services | 0.36 |
Motorbike | 0.45 |
Bicycle | 1.84 |
On foot | 8.38 |
Reason for using Public Transport | |
Choice | 46.4% |
Necessity | 26.5% |
Not frequent user | 27.1% |
Monthly Budget Spent for Mobility | |
0–10% | 65.5% |
10–20% | 24.9% |
20–30% | 7.7% |
More than 30% | 1.9% |
Use of smartphone | |
Yes | 89.8% |
No | 10.2% |
Readiness for a change in Mobility Habits Road safety | 3.43 (mean value of the 5-point interval scale) |
Never had a traffic accident | 37.8% |
Had a traffic accident with only minor damages | 42.5% |
Had a traffic accident with casualties | 1.7% |
Not a driver | 18.0% |