Individual mobility

Individual human mobility is the study that describes how individual humans move within a network or system.[1] The concept has been studied in a number of fields originating in the study of demographics. Understanding human mobility has many applications in diverse areas, including spread of diseases,[2][3] mobile viruses,[4] city planning,[5][6][7] traffic engineering,[8][9] financial market forecasting,[10] and nowcasting of economic well-being.[11][12]

  1. ^ Keyfitz, Nathan (1973). "Individual Mobility in a Stationary Population". Population Studies. 27 (July 1, 1973): 335–352. doi:10.2307/2173401. JSTOR 2173401. PMID 22085100.
  2. ^ Colizza, V.; Barrat, A.; Barthélémy, M.; Valleron, A.-J.; Vespignani, A. (2007). "Modeling the worldwide spread of pandemic influenza: baseline case and containment interventions". PLOS Medicine. 4 (1): 95–110. arXiv:q-bio/0701038. Bibcode:2007q.bio.....1038C. doi:10.1371/journal.pmed.0040013. PMC 1779816. PMID 17253899.
  3. ^ Hufnagel, L.; Brockmann, D.; Geisel, T. (2004). "Forecast and control of epidemics in a globalized world". Proc. Natl. Acad. Sci. USA. 101 (42): 15124–15129. arXiv:cond-mat/0410766. Bibcode:2004PNAS..10115124H. doi:10.1073/pnas.0308344101. PMC 524041. PMID 15477600.
  4. ^ Pastor-Satorras, Romualdo; Vespignani, Alessandro (2001-04-02). "Epidemic Spreading in Scale-Free Networks". Physical Review Letters. 86 (14): 3200–3203. arXiv:cond-mat/0010317. Bibcode:2001PhRvL..86.3200P. doi:10.1103/physrevlett.86.3200. ISSN 0031-9007. PMID 11290142. S2CID 16298768.
  5. ^ Horner, M. W.; O'Kelly, M. E. S (2001). "Embedding economies of scale concepts for hub networks design". J. Transp. Geogr. 9 (4): 255–265. doi:10.1016/s0966-6923(01)00019-9.
  6. ^ Inferring land use from mobile phone activity JL Toole, M Ulm, MC González, D Bauer - Proceedings of the ACM SIGKDD international …, 2012
  7. ^ Rozenfeld, H. D.; et al. (2008). "Laws of population growth". Proc. Natl. Acad. Sci. USA. 105 (48): 18702–18707. arXiv:0808.2202. Bibcode:2008PNAS..10518702R. doi:10.1073/pnas.0807435105. PMC 2596244. PMID 19033186.
  8. ^ Wang, Pu; Hunter, Timothy; Bayen, Alexandre M.; Schechtner, Katja; González, Marta C. (2012). "Understanding Road Usage Patterns in Urban Areas". Scientific Reports. 2 (1). Springer Science and Business Media LLC: 1001. arXiv:1212.5327. Bibcode:2012NatSR...2E1001W. doi:10.1038/srep01001. ISSN 2045-2322. PMC 3526957. PMID 23259045.
  9. ^ Krings, Gautier; Calabrese, Francesco; Ratti, Carlo; Blondel, Vincent D (2009-07-14). "Urban gravity: a model for inter-city telecommunication flows". Journal of Statistical Mechanics: Theory and Experiment. 2009 (7). IOP Publishing: L07003. arXiv:0905.0692. doi:10.1088/1742-5468/2009/07/l07003. ISSN 1742-5468. S2CID 1445486.
  10. ^ Gabaix, X.; Gopikrishnan, P.; Plerou, V.; Stanley, H. E. (2003). "A theory of power-law distributions in financial market fluctuations". Nature. 423 (6937): 267–270. Bibcode:2003Natur.423..267G. doi:10.1038/nature01624. PMID 12748636. S2CID 1263236.
  11. ^ Stefano Marchetti; et al. (Jun 2015). "Small Area Model-Based Estimators Using Big Data Sources". Journal of Official Statistics. 31 (2): 263–281. doi:10.1515/jos-2015-0017. hdl:11568/754495.
  12. ^ L. Pappalardo et al., Using Big Data to study the link between human mobility and socio-economic development, Proceedings of the 2015 IEEE International conference on Big Data, Santa Clara, CA, USA, 2015.

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