The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Uncovering urban human mobility from large scale taxi GPS data
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
(1996) · Cited by 20,179
(2021) · A First Course in Statistical Programming with R · doi:10.1017/9781108993456.011 · Cited by 13,724
(2006) · Springer Series in Operations Research and Financial Engineering · doi:10.1007/978-0-387-40065-5 · Cited by 9,008
Understanding individual human mobility patterns
González, M. C., Hidalgo, C. A., & Barabási, A.-L. (2008) · Nature · doi:10.1038/nature06958 · Cited by 6,059
Limits of Predictability in Human Mobility
Song, C., Qu, Z., Blumm, N., & Barabási, A.-L. (2010) · Science · doi:10.1126/science.1177170 · Cited by 3,234
The scaling laws of human travel
Brockmann, D., Hufnagel, L., & Geisel, T. (2006) · Nature · doi:10.1038/nature04292 · Cited by 2,205
Modelling the scaling properties of human mobility
Song, C., Koren, T., Wang, P., & Barabási, A.-L. (2010) · Nature Physics · doi:10.1038/nphys1760 · Cited by 1,284
Understanding mobility based on GPS data
Zheng, Y., Li, Q., Chen, Y., Xie, X., & Ma, W.-Y. (2008) · Proceedings of the 10th international conference on Ubiquitous computing · doi:10.1145/1409635.1409677 · Cited by 1,132
A Probabilistic Analysis of Shopping Center Trade Areas
Huff, D. L. (1963) · Land Economics · doi:10.2307/3144521 · Cited by 666
Understanding individual mobility patterns from urban sensing data: A mobile phone trace example
Calabrese, F., Diao, M., Di Lorenzo, G., Ferreira, J., & Ratti, C. (2013) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2012.09.009 · Cited by 643
Extracting a Mobility Model from Real User Traces
Kim, M., Kotz, D. F., & Kim, S. (2006) · doi:10.1109/infocom.2006.173 · Cited by 547
Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai
Liu, Y., Wang, F., Xiao, Y., & Gao, S. (2012) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2012.02.012 · Cited by 422
Revealing travel patterns and city structure with taxi trip data
Liu, X., Gong, L., Gong, Y., & Liu, Y. (2015) · Journal of Transport Geography · doi:10.1016/j.jtrangeo.2015.01.016 · Cited by 408
A probabilistic analysis of shopping center trade area
Huff, D. L. (1963) · Land Economics · Cited by 387
Estimation of origin-destination matrices from link traffic counts on congested networks
Yang, H., Sasaki, T., Iida, Y., & Asakura, Y. (1992) · Transportation Research Part B Methodological · doi:10.1016/0191-2615(92)90008-k · Cited by 366
Understanding intra-urban trip patterns from taxi trajectory data
Liu, Y., Kang, C., Gao, S., Xiao, Y., & Tian, Y. (2012) · Journal of Geographical Systems · doi:10.1007/s10109-012-0166-z · Cited by 325
Characterizing the human mobility pattern in a large street network
Jiang, B., Yin, J., & Zhao, S. (2009) · Physical Review E · doi:10.1103/physreve.80.021136 · Cited by 296
Land-Use Classification Using Taxi GPS Traces
Pan, G., Qi, G., Wu, Z., Zhang, D., & Li, S. (2013) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2012.2209201 · Cited by 290
Does Urban Mobility Have a Daily Routine? Learning from the Aggregate Data of Mobile Networks
Sevtsuk, A., & Ratti, C. (2010) · Journal of Urban Technology · doi:10.1080/10630731003597322 · Cited by 265
From taxi GPS traces to social and community dynamics: A survey
Castro, P. S., Zhang, D., Chen, C., Li, S., & Pan, G. (2013) · ACM Computing Surveys · doi:10.1145/2543581.2543584 · Cited by 252
Revealing travel patterns and city structure with taxi trip data
Liu, X., Li, G., Gong, Y., & Liu, Y. (2015) · RePEc: Research Papers in Economics · Cited by 246
Exploring the mobility of mobile phone users
Csáji, B. C., Browet, A., Traag, V. A., Delvenne, J.-C., Huens, E., Van Dooren, P., Smoreda, Z., & Blondel, V. D. (2013) · Physica A: Statistical Mechanics and its Applications · doi:10.1016/j.physa.2012.11.040 · Cited by 239
The scaling of human mobility by taxis is exponential
Liang, X., Zheng, X., Lv, W., Zhu, T., & Xu, K. (2012) · Physica A: Statistical Mechanics and its Applications · doi:10.1016/j.physa.2011.11.035 · Cited by 239
Intra-urban human mobility patterns: An urban morphology perspective
Kang, C., Ma, X., Tong, D., & Liu, Y. (2012) · Physica A: Statistical Mechanics and its Applications · doi:10.1016/j.physa.2011.11.005 · Cited by 239
Intra-Urban Human Mobility and Activity Transition: Evidence from Social Media Check-In Data
Wu, L., Zhi, Y., Sui, Z., & Liu, Y. (2014) · PLoS ONE · doi:10.1371/journal.pone.0097010 · Cited by 215
The dynamics of a mobile phone network
Hidalgo, C. A., & Rodriguez-Sickert, C. (2008) · Physica A: Statistical Mechanics and its Applications · doi:10.1016/j.physa.2008.01.073 · Cited by 200
Entropy in Urban and Regional Modelling: Retrospect and Prospect. 城市和区域建模中的熵：回顾与展望
Wilson, A. (2010) · Geographical Analysis · doi:10.1111/j.1538-4632.2010.00799.x · Cited by 147
Taxi-Aware Map: Identifying and Predicting Vacant Taxis in the City
Phithakkitnukoon, S., Veloso, M., Bento, C. L., Biderman, A., & Ratti, C. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-16917-5_9 · Cited by 143
Mapping Large Spatial Flow Data with Hierarchical Clustering
Zhu, X., & Guo, D. (2014) · Transactions in GIS · doi:10.1111/tgis.12100 · Cited by 131
Statistical laws in urban mobility from microscopic GPS data in the area of Florence
Bazzani, A., Giorgini, B., Rambaldi, S., Gallotti, R., & Giovannini, L. (2010) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2010/05/p05001 · Cited by 128
Exploring space–time structure of human mobility in urban space
Sun, J., Yuan, J., Wang, Y., Si, H., & Xu, S. (2010) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2010.10.033 · Cited by 61
Self-citation
Metadata
- Authors
- Tang, J., Liu, F., Wang, Y., & Wang, H.
- Venue
- Physica A: Statistical Mechanics and its Applications
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 438
- Pages
- 140-153
- ISSN
- 0378-4371 (ISSN-L)
- OpenAlex
- W976226029
- Cited by
- 280
- References
- 31
- FWCI
- 45.36
- 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
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.
