The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Acceptance of Automated Road Transport Systems (ARTS): An Adaptation of the UTAUT Model
Open accessAbstract
As research into innovative forms of automated transportation systems gains momentum, it is important that we develop an understanding of the factors that will impact the adoption of these systems. In an effort to address this issue, the European project CityMobil2 is collecting data around large-scale demonstrations of Automated Road Transport Systems (ARTS) in a number of cities across Europe. For these systems to be successful, user acceptance is vital. The current study used the Unified Theory of Acceptance and Use of Technology (UTAUT) to investigate the factors which might influence acceptance of ARTS vehicles, which were operational in two locations in Europe. The results indicate that the UTAUT constructs of performance expectancy, effort expectancy and social influence were all useful predictors of behavioural intentions to use ARTS, with performance expectancy having the strongest impact. However, it would appear that other factors are also needed in order for the model to strongly predict behavioural intentions in an automated transport context. Based on these findings, a number of implications for developers and ideas for future research are suggested.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
Multiple regression: testing and interpreting interactions
(1992) · Choice Reviews Online · doi:10.5860/choice.29-3352 · Cited by 36,654
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012) · MIS Quarterly · doi:10.2307/41410412 · Cited by 15,756
Applied Multivariate Statistics for the Social Sciences
Stevens, J. P. (2012) · Routledge eBooks · doi:10.4324/9780203843130 · Cited by 10,648
Complacency and Bias in Human Use of Automation: An Attentional Integration
Parasuraman, R., & Manzey, D. H. (2010) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720810376055 · Cited by 1,710 · cited 2×
“…to use any automated system is based on a number of attitudinal factors including trust (e.g. Ghazizadeh, Lee & Boyle, 2012), workload (e.g. Parasuraman & Manzey, 2010), perceived usefulness and ease of use (e.g. Davis, 1989), and social influence (e.g. Venkatesh, Morris, Davis & Davis,…”
Integrating TTF and UTAUT to explain mobile banking user adoption
Zhou, T., Lu, Y., & Wang, B. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.01.013 · Cited by 1,696
Applied Multivariate Statistics for the Social Sciences
Pituch, K. A., & Stevens, J. P. (2015) · Routledge eBooks · doi:10.4324/9781315814919 · Cited by 1,152
Extending the Technology Acceptance Model to assess automation
Ghazizadeh, M., Lee, J. D., & Boyle, L. N. (2012) · Cognition, Technology & Work · doi:10.1007/s10111-011-0194-3 · Cited by 495
Cited by
Gado, S., Kempen, R., Lingelbach, K., & Bipp, T. (2022) · Psychology Learning & Teaching · doi:10.1177/14757257211037149 · Cited by 153
Framework for planning the mobility service based on autonomous vehicles
Foldes, D., & Csiszar, C. (2018) · 2018 Smart City Symposium Prague (SCSP) · doi:10.1109/scsp.2018.8402651 · Cited by 38
ARAM: A Technology Acceptance Model to Ascertain the Behavioural Intention to Use Augmented Reality
Marto, A., Gonçalves, A., Melo, M., Bessa, M., & Silva, R. (2023) · Journal of Imaging · doi:10.3390/jimaging9030073 · Cited by 31
Bellet, T., Banet, A., Petiot, M., Richard, B., & Quick, J. (2020) · Information · doi:10.3390/info12010013 · Cited by 12
Metadata
- Authors
- Madigan, R., Louw, T., Dziennus, M., Graindorge, T., Ortega, E., Graindorge, M., & Merat, N.
- Venue
- Transportation Research Procedia
- Publisher
- Elsevier BV
- Published
- 2016
- Volume
- 14
- Pages
- 2217-2226
- ISSN
- 2352-1457 (ISSN-L)
- 2352-1465
- OpenAlex
- W2233041599
- Cited by
- 316
- References
- 16
- FWCI
- 39.59
- Type
- journal article
- Language
- en
- Open access
- diamond
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Acceptance of Automated Road Transport Systems (ARTS): An Adaptation of the UTAUT Model. https://app.cochat.ai/papers/10.1016/j.trpro.2016.05.237
- The paper
- Madigan, R., Louw, T., Dziennus, M., Graindorge, T., Ortega, E., Graindorge, M., & Merat, N. (2016). Acceptance of Automated Road Transport Systems (ARTS): An Adaptation of the UTAUT Model. Transportation Research Procedia. https://doi.org/10.1016/j.trpro.2016.05.237
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
