The DOI matches its Crossref record; 79 of the 82 references it cites were found in a registry or an index.
Clustering daily patterns of human activities in the city
Open accessOverview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Spatial schemas are stable neural representations of such environmental regularities, similar to how statistical regularities form priors or expectations in visual perception 28,47,211,212 .”
From From cognitive maps to spatial schemas (2023) · cites this paper as [211]
Citations
Cites
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162
Book Review: Pattern Recognition and Machine Learning
Nasrabadi, N. M. (2007) · Journal of Electronic Imaging · doi:10.1117/1.2819119 · Cited by 22,066
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
Rousseeuw, P. J. (1987) · Journal of Computational and Applied Mathematics · doi:10.1016/0377-0427(87)90125-7 · Cited by 21,392
Seel, N. M. (2012) · Springer eBooks · doi:10.1007/978-1-4419-1428-6_5195 · Cited by 19,482
(1997) · Naming the Mind: How Psychology Found its Language · doi:10.4135/9781446221815.n7 · Cited by 15,148
Jolliffe, I. T. (2005) · Wiley eBooks · doi:10.1002/0470013192.bsa501 · Cited by 14,522
Turk, M., & Pentland, A. (1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.1.71 · Cited by 13,733
Becker, G. S. (1991) · doi:10.4159/9780674020665 · Cited by 10,565
A Theory of the Allocation of Time
Becker, G. S. (1965) · The Economic Journal · doi:10.2307/2228949 · Cited by 10,354
Kline, P. (1993) · Personality and Individual Differences · doi:10.1016/0191-8869(93)90054-7 · Cited by 8,800
Understanding individual human mobility patterns
González, M. C., Hidalgo, C. A., & Barabási, A.-Ĺ. (2008) · Nature · doi:10.1038/nature06958 · Cited by 6,186
Self-citationTop 10 algorithms in data mining
Wu, X., Kumar, V., Ross Quinlan, J., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G. J., Ng, A., Liu, B., Yu, P. S., et al. (2008) · Knowledge and Information Systems · doi:10.1007/s10115-007-0114-2 · Cited by 5,667
The Economic Approach to Human Behavior
Becker, G. S. (1976) · University of Chicago Press eBooks · doi:10.7208/chicago/9780226217062.001.0001 · Cited by 5,070
A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
Dunn, J. C. (1973) · Journal of Cybernetics · doi:10.1080/01969727308546046 · Cited by 5,049
WHAT ABOUT PEOPLE IN REGIONAL SCIENCE?
Hägerstrand, T. (1970) · Papers of the Regional Science Association · doi:10.1111/j.1435-5597.1970.tb01464.x · Cited by 3,532
Probability: Theory and Examples.
Prewitt, K., & Durrett, R. T. (1992) · Journal of the American Statistical Association · doi:10.2307/2290301 · Cited by 3,238
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
On Clustering Validation Techniques
Halkidi, M., Batistakis, Y., & Vazirgiannis, M. (2001) · Journal of Intelligent Information Systems · doi:10.1023/a:1012801612483 · Cited by 2,651
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values
Huang, J. Z. (1998) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009769707641 · Cited by 2,513
Barker, L. E. (2002) · Technometrics · doi:10.1198/tech.2002.s659 · Cited by 2,495
Inferring friendship network structure by using mobile phone data
Eagle, N., Pentland, A. (., & Lazer, D. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900282106 · Cited by 1,856
PROBABILITY: THEORY AND EXAMPLES
Rogers, L. C. G. (1992) · Bulletin of the London Mathematical Society · doi:10.1112/blms/24.2.205 · Cited by 1,446
K -means clustering via principal component analysis
Ding, C. H. Q., & He, X. (2004) · doi:10.1145/1015330.1015408 · Cited by 1,412
Multiscale mobility networks and the spatial spreading of infectious diseases
Balcan, D., Vittoria Colizza, A., Gonçalves, B., Hu, H., Ramasco, J. J., & Vespignani, A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0906910106 · Cited by 1,347
UrbanSim: Modeling Urban Development for Land Use, Transportation, and Environmental Planning
Waddell, P. A. (2002) · Journal of the American Planning Association · doi:10.1080/01944360208976274 · Cited by 1,215
Pattern Recognition and Machine Learning
Burr, T. (2008) · Journal of the American Statistical Association · doi:10.1198/jasa.2008.s236 · Cited by 1,112
Patterns of temporal variation in online media
Yang, J., & Leskovec, J. (2011) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/1935826.1935863 · Cited by 984
Robust dynamic classes revealed by measuring the response function of a social system
Crane, R., & Sornette, D. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0803685105 · Cited by 789
Activity-based disaggregate travel demand model system with activity schedules
Bowman, J. L., & Ben-Akiva, M. E. (2001) · Transportation Research Part A Policy and Practice · doi:10.1016/s0965-8564(99)00043-9 · Cited by 763
Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals
Batty, M. (2007) · Cited by 741
Human mobility, social ties, and link prediction
Wang, D., Pedreschi, D., Song, C., Giannotti, F., & Barabási, A.-Ĺ. (2011) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/2020408.2020581 · Cited by 671
Uncovering individual and collective human dynamics from mobile phone records
Candia, J., González, M. C., Wang, P., Schoenharl, T., Madey, G., & Barabási, A.-Ĺ. (2008) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8113/41/22/224015 · Cited by 611
Self-citationGender and Individual Access to Urban Opportunities: A Study Using Space–Time Measures
Kwan, M. (1999) · The Professional Geographer · doi:10.1111/0033-0124.00158 · Cited by 607
Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals
Spiker, J. S. (2007) · The Professional Geographer · doi:10.1111/j.1467-9272.2007.00612_3.x · Cited by 594
Spectral Relaxation for K-means Clustering
Hongyuan Zha, B., He, X., Ding, C. H. Q., Gu, M., & Simon, H. D. (2001) · Cited by 585
(2003) · Chapman & Hall/CRC eBooks · doi:10.1201/9780203496947.ch8 · Cited by 577
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
Batty, M. (2005) · UCL Discovery (University College London) · Cited by 524
Shen, Q. (1998) · Environment and Planning B Planning and Design · doi:10.1068/b250345 · Cited by 521
Model-based evaluation: from dependability to security
Nicol, D. M., Sanders, W. H., & Trivedi, K. S. (2004) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2004.11 · Cited by 511
Eigenbehaviors: identifying structure in routine
Eagle, N., & Pentland, A. (2009) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-009-0830-6 · Cited by 506
Observing the rhythms of daily life: A six-week travel diary
Axhausen, K. W., Zimmermann, A., Schönfelder, S., Rindsfüser, G., & Haupt, T. (2002) · Transportation · doi:10.1023/a:1014247822322 · Cited by 503
Understanding the Spreading Patterns of Mobile Phone Viruses
Wang, P., González, M. C., Hidalgo, C. A., & Barabási, A.-Ĺ. (2009) · Science · doi:10.1126/science.1167053 · Cited by 489
Self-citationEigenbehaviors: identifying structure in routine
Eagle, N., & Pentland, A. (2009) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-009-0739-0 · Cited by 442
A conceptual version of the K-means algorithm
Ralambondrainy, H. (1995) · Pattern Recognition Letters · doi:10.1016/0167-8655(95)00075-r · Cited by 271
Integration of an Activity-based Model System and a Residential Location Model
Ben-Akiva, M. E., & Bowman, J. L. (1998) · Urban Studies · doi:10.1080/0042098984529 · Cited by 245
A retrospective and prospective survey of time-use research
Bhat, C. R., & Koppelman, F. S. (1999) · Transportation · doi:10.1023/a:1005196331393 · Cited by 239
Model-based evaluation of clustering validation measures
Marcel Brun, A., Chao Sima, A., Jianping Hua, A., Lowey, J., Carroll, B., Suh, E. B., & Dougherty, E. R. (2006) · Pattern Recognition · doi:10.1016/j.patcog.2006.06.026 · Cited by 238
Handbook of Transport Geography and Spatial Systems
Hensher, D. A. (2004) · Emerald Group Publishing Limited eBooks · doi:10.1108/9781615832538 · Cited by 231
Human Activity Patterns in the City. Things People Do in Time and in Space
C., D., & Chapin, F. S. (1976) · Population · doi:10.2307/1530466 · Cited by 230
Clustering binary data streams with K-means
ORDÓÑEZ, C. R. (2003) · ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD) · doi:10.1145/882082.882087 · Cited by 207
Exploring potential human activities in physical and virtual spaces: a spatio‐temporal GIS approach
Yu, H., & Shaw, S. (2008) · International Journal of Geographical Information Systems · doi:10.1080/13658810701427569 · Cited by 205
Agent-Based Demand-Modeling Framework for Large-Scale Microsimulations
Balmer, M., Axhausen, K. W., & Nagel, K. (2006) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/1985-14 · Cited by 182
Gender and Urban Activity Patterns in Uppsala, Sweden
Hanson, S., & Hanson, P. (1980) · Geographical Review · doi:10.2307/214257 · Cited by 175
Human Activity Patterns in the City: Things People Do in Time and Space.
Love, R. L., & Chapin, F. S. (1976) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2064142 · Cited by 174
Foth, M., Forlano, L., Satchell, C., & Gibbs, M. (2011) · QUT ePrints (Queensland University of Technology) · Cited by 171
Next Generation of Data Mining
(2008) · Chapman & Hall/CRC eBooks · doi:10.1201/9781420085877 · Cited by 153
Information spreading in context
Wang, D., Wen, Z., Tong, H., Lin, C., Song, C., & Barabási, A.-Ĺ. (2011) · International World Wide Web Conference (WWW) · doi:10.1145/1963405.1963508 · Cited by 119
Portugali, J. (2012) · CERN Document Server (European Organization for Nuclear Research) · doi:10.1007/978-3-642-24544-2 · Cited by 117
Eigenplaces: Segmenting Space through Digital Signatures
Calabrese, F., Reades, J., & Ratti, C. (2009) · IEEE Pervasive Computing · doi:10.1109/mprv.2009.62 · Cited by 115
The City around the Clock: Space—Time Patterns of Urban Ecological Structure
Goodchild, M. F., & Janelle, D. G. (1984) · Environment and Planning A Economy and Space · doi:10.1068/a160807 · Cited by 112
At Home and at Work: The Family's Allocation of Labor.
Fuller, M. M., Geerken, M. R., & Gove, W. R. (1984) · Social Forces · doi:10.2307/2579087 · Cited by 102
From Social Butterfly to Engaged Citizen
(2011) · The MIT Press eBooks · doi:10.7551/mitpress/8744.001.0001 · Cited by 100
Sang, S., O’Kelly, M. E., & Kwan, M. (2010) · Urban Studies · doi:10.1177/0042098010368576 · Cited by 83
Reflections on “what about people in regional science?”
Hägerstrand, T. (1989) · Papers of the Regional Science Association · doi:10.1007/bf01954291 · Cited by 83
Activity settings and travel behaviour: A social contact perspective
Harvey, A. S., & Taylor, M. E. (2000) · Transportation · doi:10.1023/a:1005207320044 · Cited by 82
K-means Clustering Algorithm for Categorical Attributes
Gupta, S. K., Rao, K. S., & Bhatnagar, V. (1999) · Lecture notes in computer science · doi:10.1007/3-540-48298-9_22 · Cited by 79
REFLECTIONS ON “WHAT ABOUT PEOPLE IN REGIONAL SCIENCE?”
Hägerstrand, T. (1989) · Papers of the Regional Science Association · doi:10.1111/j.1435-5597.1989.tb01166.x · Cited by 78
Time Series Clustering: Complex is Simpler!
Li, L., & Prakash, B. A. (2011) · Cited by 71
Integration of Activity-Based and Agent-Based Models
Bekhor, S., Dobler, C., & Axhausen, K. W. (2011) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/2255-05 · Cited by 48
A Kantian View of the City: A Factorial-Ecology Experiment in Space and Time
Taylor, P. J., & Parkes, D. (1975) · Environment and Planning A Economy and Space · doi:10.1068/a070671 · Cited by 43
Complexity and Spatial Networks
Reggiani, A. (2019) · Springer eBooks · doi:10.1007/978-3-642-36203-3_48-1 · Cited by 40
Complexity and spatial networks : in search of simplicity
Reggiani, A., & Nijkamp, P. J. (2009) · doi:10.1007/978-3-642-01554-0 · Cited by 39
Integration of activity-based with agent-based models: An example from the Tel Aviv model and MATSim
Bekhor, S., Dobler, C., & Axhausen, K. W. (2010) · Repository for Publications and Research Data (ETH Zurich) · doi:10.3929/ethz-a-006121544 · Cited by 14
Transport: Critical Essays in Human Geography
Hanson, S., & Kwan, M. (2008) · Medical Entomology and Zoology · Cited by 13
GIS and the Collection of Travel Survey Data
Greaves, S. P. (2004) · Emerald Group Publishing Limited eBooks · doi:10.1108/9781615832538-021 · Cited by 6
(2008) · Nature · doi:10.1038/453698a · Cited by 5
Xu, R., & Wunsch, D. C., II (2008) · doi:10.1002/9780470382776.ch4 · Cited by 2
Research works printed but not linked: 1
- Freud S (1953) Collected papers, vol IV. vol v. 1–5. Hogarth Press and The Institute of Psychoanalysis, London
Cited by
Sorted by citations
Returners and explorers dichotomy in human mobility
Pappalardo, L., Simini, F., Rinzivillo, S., Pedreschi, D., Giannotti, F., & Barabási, A.-L. (2015) · Nature Communications · doi:10.1038/ncomms9166 · Cited by 494
Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore
Jiang, S., Ferreira, J., & González, M. C. (2016) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2016.2631141 · Cited by 470
Self-citationUnderstanding commuting patterns using transit smart card data
Ma, X., Liu, C., Wen, H., Wang, Y., & Wu, Y. (2016) · Journal of Transport Geography · doi:10.1016/j.jtrangeo.2016.12.001 · Cited by 352
Tu, 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
A review of urban computing for mobile phone traces
Jiang, S., Fiore, G. A., Yang, Y., Ferreira, J., Frazzoli, E., & González, M. C. (2013) · ACM SIGKDD International Workshop on Urban Computing (UrbComp) · doi:10.1145/2505821.2505828 · Cited by 251
Self-citation
Metadata
- Authors
- Jiang, S., Ferreira, J., & González, M. C.
- Affiliations
- Massachusetts Institute of Technology (US)
- Corresponding author
- Jiang, Shan
- Ferreira, Joseph
- González, Marta C.
- Venue
- Data Mining and Knowledge Discovery
- Published
- 2012-04-20
- Volume
- 25
- Issue
- 3
- Pages
- 478-510
- ISSN
- 1384-5810 (ISSN-L)
- 1573-756X
- OpenAlex
- W2088722350
- Cited by
- 282
- References
- 82
- Citations by year
- 2026: 10 · 2025: 17 · 2024: 18 · 2023: 20 · 2022: 22 · 2021: 35 · 2020: 32 · 2019: 21 · 2018: 22 · 2017: 27 · 2016: 23 · 2015: 14 · 2014: 10 · 2013: 7 · 2012: 4
- FWCI
- 29.36
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- cc-by-nc-sa
- www.springer.com/tdm (tdm)
- Locations
- Data Mining and Knowledge Discovery (publishedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- Funders
- U.S. Department of Transportation
- Austrian Institute of Technology
- Topics
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Social Sciences › Transportation › Transportation Planning and Optimization
- Social Sciences › Transportation › Urban Transport and Accessibility
- Keywords
- daily activity patterns, sociodemographic factors, urban transportation planning, emergency response, Chicago metropolitan area
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
