An Open Access Journal
From: Identifying user classes for shared and automated mobility services
Characteristic | Total number (percent) [class] |
---|---|
Respondents: | 796 |
Mean age (standard deviation): | 41.78 (14.1) |
Respondents per age classes (in percent) [class]: | 204 (25.6%) [18–29]; 168 (21.1%) [30–39]; 153 (19.1%) [40–49]; 159 (20.0%) [50–59]; 112 (14.1%) [60–80] |
Gender: male; female (in percent): | 399 (50. 1%); 397 (49.9%) |
Driving license holder (in percent): | 684 (85.9%) |
Household with children (in percent): | 215 (27.1%) |
Household has access to at least one vehicle; and more than one vehicle (in percent): | 598 (75.1%); 168 (21.1%) |
Highest level of education (in percent) [class]: | 108 (13.6%) [Primary school and lower education]; 317 (39.8%) [High school or mid-level education]; 370 (46.5%) [higher education] |
Yearly household income (in percent) [class]: | 191 (24.0%) [0–30,000 Euro]; 321 (40.3%) [30,000–60,000 Euro]; 150 (18.8%) [more than 60,000 Euro]; 134 (16.8%) not reported |
Households with at least one household member subscribed to a car-sharing service in general and to a free-floating car-sharing service in particular (in percent): | 76 (9.1%) [Car-Sharing in general]; 24 (3.1%) [Free-Floating Car-Sharing] |
Uber user and/or chauffeur (in percent): | 97 (12.2%) |