The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Drivers and barriers in adopting Mobility as a Service (MaaS) – A latent class cluster analysis of attitudes
Open accessAbstract
Mobility as a Service (MaaS) is expected to significantly change mobility patterns, yet it is still not clear who will embrace this new mobility paradigm and how MaaS will impact passengers’ transportation. In the paper, we identify factors relevant for MaaS adoption based on a survey comprised of over thousand respondents in the Netherlands. We find five clusters in relation to individuals’ inclinations to adopt MaaS in the context of urban mobility. We characterize each of the clusters, allowing for the examining of different customer segments regarding MaaS. The cluster with the highest inclination for future MaaS adoption is also the largest cluster (representing one third of respondents). Individuals in this cluster have multimodal weekly mobility patterns. On the contrary, current unimodal car users are the least likely to adopt MaaS. We identify high (mobility) ownership need and low technology adoption (present in three of the five clusters) as the main barriers that can hinder MaaS adoption. Policies that directly address these two barriers can stimulate MaaS adoption.
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
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
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
(2017) · Cited by 16,319
The Scree Test For The Number Of Factors
Cattell, R. B. (1966) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr0102_10 · Cited by 13,554
Evaluating the use of exploratory factor analysis in psychological research.
Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999) · Psychological Methods · doi:10.1037/1082-989x.4.3.272 · Cited by 9,587
Exploratory Factor Analysis: A Five-Step Guide for Novices
Williams, B., Onsman, A., & Brown, T. (2010) · Australasian Journal of Paramedicine · doi:10.33151/ajp.8.3.93 · Cited by 2,739
Hayward, G. (1984) · Technovation · doi:10.1016/0166-4972(84)90018-x · Cited by 2,715
Acock, A. C. (2005) · Journal of Marriage and Family · doi:10.1111/j.1741-3737.2005.00191.x · Cited by 1,766
Understanding and Using Factor Scores: Considerations for the Applied Researcher
DiStefano, C., Zhu, M., & Mîndrilă, D. (2020) · doi:10.7275/da8t-4g52 · Cited by 1,614
Car use: lust and must. Instrumental, symbolic and affective motives for car use
Steg, L. (2005) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2004.07.001 · Cited by 1,291
Cited by
Nikitas, A., Michalakopoulou, K., Njoya, E. T., & Karampatzakis, D. (2020) · Sustainability · doi:10.3390/su12072789 · Cited by 495
Metadata
- Authors
- Alonso-González, M. J., Hoogendoorn-Lanser, S., van Oort, N., Cats, O., & Hoogendoorn, S.
- Venue
- Transportation Research Part A: Policy and Practice
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 132
- Pages
- 378-401
- ISSN
- 0965-8564 (ISSN-L)
- OpenAlex
- W2992692439
- Cited by
- 283
- References
- 59
- FWCI
- 10.42
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Drivers and barriers in adopting Mobility as a Service (MaaS) – A latent class cluster analysis of attitudes. https://app.cochat.ai/papers/10.1016/j.tra.2019.11.022
- The paper
- Alonso-González, M. J., Hoogendoorn-Lanser, S., van Oort, N., Cats, O., & Hoogendoorn, S. (2020). Drivers and barriers in adopting Mobility as a Service (MaaS) – A latent class cluster analysis of attitudes. Transportation Research Part A: Policy and Practice. https://doi.org/10.1016/j.tra.2019.11.022
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.
