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

Xiaolin Tang

doi:10.26182/2ds3-vc52

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

Xiaolin Tang

Research output: Thesis › Doctoral 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 language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	Smith, Brett, Supervisor Biermann, Sharon, Supervisor
Award date	9 Jun 2023
DOIs	https://doi.org/10.26182/2ds3-vc52
Publication status	Unpublished - 2023

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10.26182/2ds3-vc52

THESIS - DOCTOR OF PHILOSOPHY - TANG Xiaolin - 2023
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1 Conference paper

Autonomous Vehicles and Ride-pooling: Insights from a qualitative study
Tang, X., 1 Oct 2022, Australasian Transport Research Forum 2022 Proceedings. Australasian Transport Research Forum, 19 p.
Research output: Chapter in Book/Conference paper › Conference paper › peer-review

Cite this

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title = "Riding into the Future: People's Willingness to Rideshare in Autonomous Vehicles",

abstract = "Shared autonomous vehicles (SAVs) increase safety, mobility, and reduce emissions. SAV development will benefit from insights into travellers{\textquoteright} 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.",

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AB - 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.

KW - Shared Autonomous Vehicles

KW - Technology Acceptance Model

KW - Stated Preference

KW - Hybrid Choice Models

KW - Attribute Non-attendance

KW - Willingness to Pay

KW - Willingness to Share

U2 - 10.26182/2ds3-vc52

DO - 10.26182/2ds3-vc52

M3 - Doctoral Thesis

ER -

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

Abstract

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Research output

Autonomous Vehicles and Ride-pooling: Insights from a qualitative study

Cite this