Attitudes, preference and personality in relation to behavioral intention of autonomous vehicle use: An SEM analysis

Autonomous vehicles (AVs) are entering the market, which will have a great impact on future decision making on mode choice in transportation systems. The aim of this study is to explore the determinants which influence travelers' intentions to use AVs based on structural equation modelling (SEM...

Full description

Saved in:
Bibliographic Details
Published in:PloS one 2023-02, Vol.18 (2), p.e0262899-e0262899
Main Authors: Ding, Ling, Yang, Xu
Format: Article
Language:English
Subjects:
Analysis
Attitude
Attitudes
Autonomous Vehicles
Behavior
Biology and Life Sciences
Consumer preferences
Decision making
Driverless cars
Economic aspects
Empirical analysis
Family income
Gender
Health aspects
Hypotheses
Intention
Latent Class Analysis
Modal choice
Motivation
Multivariate statistical analysis
Personality
Preferences
Psychological aspects
Research and Analysis Methods
Social aspects
Social Sciences
Sociodemographics
Statistical analysis
Structural equation modeling
Surveys
Traffic accidents & safety
Transportation systems
Travel
Travelers
Variables
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Autonomous vehicles (AVs) are entering the market, which will have a great impact on future decision making on mode choice in transportation systems. The aim of this study is to explore the determinants which influence travelers' intentions to use AVs based on structural equation modelling (SEM). 310 valid sets of data from an online survey were collected to analyze factors which influence travelers' intentions. Data analyses were conducted using IBM SPSS Statistics 23 and AMOS 23. The results showed that personality and preferences in relation to AVs are the main potential factors that cause travelers' AVs use. Attitudes to modal services also affect intentions to use AVs. Personality has a significant positive effect on both attitude and preferences. The results provide exploratory empirical support for all hypotheses. The research results will help understand travelers' choice motivation from psychological and service perspectives, and provide support for governments and enterprises to improve the management and services of autonomous vehicles.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0262899