Skip to main content

An Open Access Journal

Table 1 Distribution of socio-demographic characteristics of the respondents (n = 584)

From: Which factors affect willingness-to-pay for automated vehicle services? Evidence from public road deployment in Stockholm, Sweden

Characteristics/sample group

Total (n = 584), %

Gender

 Male

64.6

 Female

33.4

Age

 Children (aged under 15 years)

0

 Young Adult (aged 15–24)

20.7

 Adult (aged 25–44)

27.7

 Middle-age Adult (aged 45–64)

46.1

 Elderly (aged above 65)

5.1

Employment Status

 Working

58.9

 Business Owner

3.3

 At School

31

 Permanently Retired from Work

4.1

Education Background

 Undergraduate or above

78.6

Gross Annual Income (before tax) in Swedish Kronor (SEK)

 Low-income (≤ 200,000 SEK  19,127 euro / 21,386 USD)

16.6

 High-income (≥ 700,000 SEK  66,943 / 74,851 USD)

41.1

Technology Awareness

 Tech-savvy: well informed about or know how to use computers, mobile phones and electronic devices.

93.8

 Familiar with the technologies used to enable automated road vehicle to drive without human driver

57

Existing Travel Modes

 Walking

26.5

 Cycling

13.5

 Regular Public Bus

39.6

 Metro

48.3

 Commuter Train

26.5

 Car

26.2

 Private Shuttle Service

0

Automated Bus Ride Experience

 Never

53.3

 At least once

46.7