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Understanding individual mobility patterns from urban sensing data: A mobile phone trace example
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Citations
Cited by
The promises of big data and small data for travel behavior (aka human mobility) analysis
Chen, C., Ma, J., Susilo, Y., Liu, Y., & Wang, M. (2016) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2016.04.005 · Cited by 580
The path most traveled: Travel demand estimation using big data resources
Toole, J. L., Colak, S., Sturt, B., Alexander, L. P., Evsukoff, A., & González, M. C. (2015) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2015.04.022 · Cited by 417
Applying mobile phone data to travel behaviour research: A literature review
Wang, Z., He, S. Y., & Leung, Y. (2018) · Travel Behaviour and Society · doi:10.1016/j.tbs.2017.02.005 · Cited by 367
Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data
Kung, K. S., Greco, K., Sobolevsky, S., & Ratti, C. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096180 · Cited by 329
Self-citationTu, W., Cao, J., Yue, Y., Shaw, S.-L., Zhou, M., Wang, Z., Chang, X., Xu, Y., & Li, Q. (2017) · International Journal of Geographical Information Science · doi:10.1080/13658816.2017.1356464 · Cited by 298
Metadata
- Authors
- Calabrese, F., Diao, M., Di Lorenzo, G., Ferreira, J., & Ratti, C.
- Venue
- Transportation Research Part C: Emerging Technologies
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 26
- Pages
- 301-313
- ISSN
- 0968-090X (ISSN-L)
- OpenAlex
- W2129284678
- Cited by
- 643
- References
- 0
- FWCI
- 57.41
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Understanding individual mobility patterns from urban sensing data: A mobile phone trace example. https://app.cochat.ai/papers/10.1016/j.trc.2012.09.009
- The paper
- Calabrese, F., Diao, M., Di Lorenzo, G., Ferreira, J., & Ratti, C. (2013). Understanding individual mobility patterns from urban sensing data: A mobile phone trace example. Transportation Research Part C: Emerging Technologies. https://doi.org/10.1016/j.trc.2012.09.009
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.
