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Acceptance of automated Shuttles – Application and Extension of UTAUT-2 in real-life Traffic

Rybizki, Anne (2022) Acceptance of automated Shuttles – Application and Extension of UTAUT-2 in real-life Traffic. Master's, Humboldt-Universität zu Berlin.

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Abstract

Automated shuttles can make public transport more attractive and sustainable. Successful implementation requires a high level of acceptance among users. This study investigates the impact of the predictors performance expectancy, social influence, facilitating conditions, hedonic motivation, and perceived risk on the behavioral intention to use automated shuttles. The Unified Theory of Acceptance (UTAUT)-2 model on which this work is based has already been successfully applied to study the acceptance of autonomous public transport. Acceptance of a wizard-of-oz automated shuttle in real-life traffic was measured for 35 participants thrice: before and after a first ride and after a second ride on which two incidents occur. The results show that behavioral intention to use automated shuttles is high even before the first ride and remains high. Performance expectancy is the only significant predictor of behavioral intention for all times of measurement. The explanatory power of the model almost doubles from preride to post-ride. The results indicate a crucial role of performance expectancy for the acceptance of automated shuttles at the current stage of implementation and provide guidance for a successful development and implementation of autonomous public transport.

Item URL in elib:https://elib.dlr.de/185928/
Document Type:Thesis (Master's)
Title:Acceptance of automated Shuttles – Application and Extension of UTAUT-2 in real-life Traffic
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Rybizki, AnneAnne.Rybizki (at) dlr.deUNSPECIFIED
Date:22 March 2022
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:74
Status:Published
Keywords:automated public transport, acceptance of automation, socio-psychological model, user acceptance
Institution:Humboldt-Universität zu Berlin
Department:Institut für Psychologie
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - NGC KoFiF
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Information Flow Modelling in Mobility Systems, BA
Deposited By: Bosch, Esther Johanna
Deposited On:01 Apr 2022 15:29
Last Modified:01 Apr 2022 15:30

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