 Exploring autonomous bus users’ intention: Evidence from positive and negative effectsYung-Hsiang Cheng and Yen-Chu Lai Transport Policy, 2024, vol. 146, issue C, 91-101 Abstract: The introduction of autonomous buses (ABs) in many countries addresses traditional bus operation challenges, but overlooks critical perceived risks, like functional, safety, and security issues, affecting autonomous driving technology acceptance. This research uses the mental accounting theory to investigate both the positive and negative effects of the intention to use ABs. A hybrid discrete choice model captures latent and observed factors and considers COVID-19's impact on travel mode preferences. Results show that both latent and observed factors significantly affect AB adoption intention, including compatibility, relative advantage, safety/security risks, perceived risks, in/out-of-vehicle time, and travel cost. Trial rides positively impact adoption intention. Familiarity with unmanned tech also affects choice of shared bicycles and ABs, allowing for tailored promotional programs. The conclusions herein offer insights for bus operators, manufacturers, and city governments to integrate ABs into public transport systems effectively. Keywords: Autonomous buses; Mental accounting; Perceived risk; Mode choice; Hybrid choice model; Pandemic (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:trapol:v:146:y:2024:i:c:p:91-101 Ordering information: This journal article can be ordered from DOI: 10.1016/j.tranpol.2023.11.004 Access Statistics for this article Transport Policy is currently edited by Y. Hayashi More articles in Transport Policy from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.