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Table 3 Sample characteristics (n = 995)

From: What are the factors and needs promoting mobility-as-a-service? Findings from the Swiss Household Energy Demand Survey (SHEDS)

Items

Categories

Distribution

Dependent Variable (DV)

 Openness to using a combined mobility service for commuting

No

62.0%

Yes

38.0%

 Openness to using a combined mobility service for weekday leisure trips

No

52.6%

Yes

47.4%

 Openness to using a combined mobility service for weekend trips

No

46.1%

Yes

53.9%

Treatment (IV)

 Policy and peer effectsa

Control

71.1%

4-star review (T1)

7.0%

5-star review (T2)

7.0%

No policy yet (T3)

7.4%

Policy decided (T4)

7.4%

Socio-Demographics (IV)

 Agec

Average (standard deviation)

48.65 (15.09)

 Age groupa

18–34 years

24%

35–54 years

40.8%

More than 55 years

35.2%

 Genderb

Male

51.5%

Female

48.5%

 Educationa

Apprenticeship

32.7%

High school

13.5%

Higher education

53.8%

 Place of residenceb

City

50.9%

Agglomeration

28.3%

Countryside

20.8%

 Household incomeb

Less than 3′000 CHF

4.1%

3′000–4′500 CHF

10.3%

4′501–6′000 CHF

18.9%

6′001–9′000 CHF

30.1%

9′001–12′000 CHF

21.9%

More than 12′000 CHF

14.7%

Mobility behaviour (IV)

 Dominant mode choice: commutinga

Private car

33.7%

Public transportation

42.1%

Soft mobility (bike, foot)

17.1%

Multimodal mobility

1.4%

Does not work

5.7%

 Dominant mode choice: leisurea

Private car

47.5%

Public transportation

29.1%

Soft mobility (bike, foot)

20.1%

Multimodal mobility

3.3%

 Mobility sharing: cara

Never

61.1%

Every few months

22.6%

Once a month

9.1%

One a week

4.4%

Several times a week

2.7%

 Type of public transport passb

GA travel card 1st class

4.3%

GA travel card 2nd class

19.4%

Regional pass

21.3%

None

55.0%

 Time used for commuting home-work (min)b

Average (standard deviation)

29.26 (25.89)

 Time used for commuting home-leisure activity (min)b

Average (standard deviation)

17.56 (20.62)

 Time used for commuting home-weekend trip (min)b

Average (standard deviation)

50.59 (57.00)

 Importance of mobility service attributes (Mean (standard deviation) from Likert scale: 1, not at all important, to 5, extremely important)c

Availability of all possible options

3.09 (1.31)

Cheap price

3.55 (1.16)

Intuitive and easy to use

3.76 (1.19)

Route with lowest CO2 emissions

2.84 (1.24)

Find fastest possible route

3.52 (1.21)

Waiting time < 30 min

3.65 (1.26)

Psychology (IV)

 Pro-environmental attitudesa

Mean Likert scale (1, totally disagree to 5, totally agree) from 12 items

3.66 (0.75)

 Plans to reduce car usagea

Likert scale (1, very unlikely, to 5, very likely)

2.58 (1.22)

  1. aIndicates variables included as hypotheses; bindicates control variables; cindicates variables not included in the regression model