Exploring the general acceptance factor for shared automated vehicles: the impact of personality traits and experimentally altered information.

ABSTRACT:

Introduction

Shared automated vehicles (SAVs) could significantly enhance public transport by addressing urban mobility challenges. However, public acceptance of SAVs remains under-studied, particularly regarding how informational factors and individual personality traits influence acceptance.

Methods

This study explores SAV acceptance using data from an experimental survey of 1902 respondents across Norway. Participants were randomly presented with different informational conditions about SAV services, manipulating vehicle autonomy (fully autonomous vs. steward onboard), seating orientation (facing direction of travel vs. facing other passengers), and ethnicity of co-passengers. Personality traits from the Five Factor Model (FFM) and Social Dominance Orientation (SDO) were

SUBMITTER: Aasvik O 

PROVIDER: S-EPMC12014631 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature