The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Incorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: A case study of Beijing, China
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
Infrastructure planning for electric vehicles with battery swapping
Mak, H.-Y., Rong, Y., & Shen, Z.-J. M. (2013) · Management Science · doi:10.1287/mnsc.1120.1672 · Cited by 570
Electric vehicle charging station placement: Formulation, complexity, and solutions
Lam, A. Y. S., Leung, Y.-W., & Chu, X. (2014) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2014.2344684 · Cited by 436
New business models for electric cars—A holistic approach
Kley, F., Lerch, C., & Dallinger, D. (2011) · Energy Policy · doi:10.1016/j.enpol.2011.03.036 · Cited by 414
Cited by
A review of consumer preferences of and interactions with electric vehicle charging infrastructure
Hardman, S., Jenn, A., Tal, G., Axsen, J., Beard, G., Daina, N., Figenbaum, E., Jakobsson, N., Jochem, P., Kinnear, N., et al. (2018) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2018.04.002 · Cited by 835
Kunith, A., Mendelevitch, R., & Goehlich, D. (2017) · International Journal of Sustainable Transportation · doi:10.1080/15568318.2017.1310962 · Cited by 286
Charging station location problem: A comprehensive review on models and solution approaches
Kchaou-Boujelben, M. (2021) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2021.103376 · Cited by 285
The location optimization of electric vehicle charging stations considering charging behavior
Tian, Z., Hou, W., Gu, X., Gu, F., & Yao, B. (2018) · SIMULATION · doi:10.1177/0037549717743807 · Cited by 60
Bauer, G., Zheng, C., Greenblatt, J. B., Shaheen, S., & Kammen, D. M. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.0c01609 · Cited by 47
Metadata
- Authors
- He, S. Y., Kuo, Y.-H., & Wu, D.
- Venue
- Transportation Research Part C: Emerging Technologies
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 67
- Pages
- 131-148
- ISSN
- 0968-090X (ISSN-L)
- OpenAlex
- W2287746685
- Cited by
- 237
- References
- 3
- FWCI
- 7.62
- 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: Incorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: A case study of Beijing, China. https://app.cochat.ai/papers/10.1016/j.trc.2016.02.003
- The paper
- He, S. Y., Kuo, Y.-H., & Wu, D. (2016). Incorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: A case study of Beijing, China. Transportation Research Part C: Emerging Technologies. https://doi.org/10.1016/j.trc.2016.02.003
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.
