Riding into the Future: People's Willingness to Rideshare in Autonomous Vehicles

Research output: ThesisDoctoral Thesis

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Abstract

Shared autonomous vehicles (SAVs) increase safety, mobility, and reduce emissions. SAV development will benefit from insights into travellers’ acceptance of SAVs. Previous studies adopted either Technology Acceptance Model (TAM) or stated choice (SC) surveys. This study proposes a framework to jointly examine both methods in Australian and China contexts. SC survey design was informed from a qualitative pre-study and collected data on attribute non-attendance (ANA), where respondents ignore attributes. The modelling for the data was two-fold: (1) a structural equation model for behavioural intention and TAM antecedents, (2) different hybrid choice models for SC, TAM latent constructs and handling ANA.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • The University of Western Australia
Supervisors/Advisors
  • Smith, Brett, Supervisor
  • Biermann, Sharon, Supervisor
Award date9 Jun 2023
DOIs
Publication statusUnpublished - 2023

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