The DOI matches its Crossref record.
Mining bicycle sharing data for generating insights into sustainable transport systems
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
Cited by
Understanding the usage of dockless bike sharing in Singapore
Shen, Y., Zhang, X., & Zhao, J. (2018) · International Journal of Sustainable Transportation · doi:10.1080/15568318.2018.1429696 · Cited by 420
Hybrid cluster-regression approach to model bikeshare station usage
Hyland, M., Hong, Z., Pinto, H. K. R. D. F., & Chen, Y. (2018) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2017.11.009 · Cited by 83
Bicycle and Car Share Schemes as Inclusive Modes of Travel? A Socio-Spatial Analysis in Glasgow, UK
Clark, J., & Curl, A. (2016) · Social Inclusion · doi:10.17645/si.v4i3.510 · Cited by 74
Weak signals in the mobility landscape: car sharing in ten European cities
Boldrini, C., Bruno, R., & Laarabi, M. H. (2019) · EPJ Data Science · doi:10.1140/epjds/s13688-019-0186-8 · Cited by 32
Metadata
- Authors
- O’Brien, O., Cheshire, J., & Batty, M.
- Venue
- Journal of Transport Geography
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 34
- Pages
- 262-273
- ISSN
- 0966-6923 (ISSN-L)
- OpenAlex
- W2080113883
- Cited by
- 367
- References
- 0
- FWCI
- 50.36
- Type
- journal article
- Language
- en
- Open access
- closed
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: Mining bicycle sharing data for generating insights into sustainable transport systems. https://app.cochat.ai/papers/10.1016/j.jtrangeo.2013.06.007
- The paper
- O’Brien, O., Cheshire, J., & Batty, M. (2014). Mining bicycle sharing data for generating insights into sustainable transport systems. Journal of Transport Geography. https://doi.org/10.1016/j.jtrangeo.2013.06.007
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.