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Table 1 Descriptive statistics

From: Investigating the preferences of individuals on public transport innovations using the Maximum Difference Scaling method

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%