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Articles

A statistical framework for measuring the temporal stability of human mobility patterns

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Pages 105-123 | Received 24 Aug 2019, Accepted 30 Dec 2019, Published online: 13 Jan 2020

References

  • L.A. Basta, T.S. Richmond, and D.J. Wiebe, Neighborhoods, daily activities, and measuring health risks experienced in urban environments, Soc. Sci. Med. 71 (2010), pp. 1943–1950. doi: 10.1016/j.socscimed.2010.09.008
  • D. Berrigan, J.A. Hipp, P.M. Hurvitz, P. James, M.M. Jankowska, J. Kerr, F. Laden, T. Leonard, R.A. McKinnon, T.M. Powell-Wiley, E. Tarlov, S.N. Zenk, and The TREC Spatial and Contextual, Measures and Modeling Work Group, Geospatial and contextual approaches to energy balance and health, Ann. GIS 21 (2015), pp. 157–168. doi: 10.1080/19475683.2015.1019925
  • R.S. Bivand, E. Pebesma, and V. Gómez-Rubio, Applied Spatial Data Analysis with R, Springer, New York, 2013.
  • H. Byrnes, B.A. Miller, C.N. Morrison, D.J. Wiebe, M. Woychik, and S.E. Wiehe, Association of environmental indicators with teen alcohol use and problem behavior: Teens' observations vs. objectively-measured indicators, Health and Place 43 (2017), pp. 151–157. doi: 10.1016/j.healthplace.2016.12.004
  • Y.C. Chen, Generalized cluster trees and singular measures, Ann. Stat. 47 (2019), pp. 2174–2203. doi: 10.1214/18-AOS1744
  • R. Courant and F. John, Introduction to Calculus and Analysis, Vol. I, Springer, New York, 1991.
  • A. Dobra and N.E. Williams, Spatiotemporal detection of unusual human population behavior using mobile phone data, PLoS ONE 10 (2015), p. e0120449. doi: 10.1371/journal.pone.0120449
  • D.T. Duncan, D.A. Hickson, W.C. Goedel, D. Callander, B. Brooks, Y.T. Chen, H. Hanson, R. Eavou, A.S. Khanna, B. Chaix, S. Regan, D.P. Wheeler, K.H. Mayer, S.A. Safren, M.S. Carr, C. Draper, V. Magee-Jackson, R. Brewer, and J.A. Schneider, The social context of HIV prevention and care among black men who have sex with men in three U.S. cities: The neighborhoods and networks (N2) cohort study, Int. J. Environ. Res. Public Health 16 (2019), p. 1922. doi: 10.3390/ijerph16111922
  • K. Elgethun, M.G. Yost, C.T. Fitzpatrick, T.L. Nyerges, and R.A. Fenske, Comparison of Global Positioning System (GPS) tracking and parent-report diaries to characterize children's time–location patterns, J. Expo. Sci. Env. Epid. 17 (2007), pp. 196–206. doi: 10.1038/sj.jes.7500496
  • B. Entwisle, Putting people into place, Demography 44 (2007), pp. 687–703. doi: 10.1353/dem.2007.0045
  • N. Kiukkonen, J. Blom, O. Dousse, D. Gatica-Perez, and J. Laurila, Towards rich mobile phone datasets: Lausanne data collection campaign, Proc. ACM Int. Conf. on Pervasive Services (ICPS), Berlin, July 2010.
  • M.P. Kwan, The uncertain geographic context problem, Ann. Assoc. Am. Geogr. 102 (2012), pp. 958–968. doi: 10.1080/00045608.2012.687349
  • M.P. Kwan, Beyond space (as we knew it): Toward temporally integrated geographies of segregation, health, and accessibility, Ann. Assoc. Am. Geogr. 103 (2013), pp. 1078–1086. doi: 10.1080/00045608.2013.792177
  • J.K. Laurila, D. Gatica-Perez, I. Aad, J. Blom, O. Bornet, T. Do, O. Dousse, J. Eberle, and M. Miettinen, The mobile data challenge: Big data for mobile computing research, Proc. Mobile Data Challenge Workshop (MDC) in Conjunction with Int. Conf. on Pervasive Computing, Newcastle, June 2012.
  • J.K. Laurila, D. Gatica-Perez, I. Aad, J. Blom, O. Bornet, T.M.T. Do, O. Dousse, J. Eberle, and M. Miettinen, From big smartphone data to worldwide research: The mobile data challenge, Pervasive Mob. Comput. 9 (2013), pp. 752–771. doi: 10.1016/j.pmcj.2013.07.014
  • J.H. Lee, A.W. Davis, S.Y. Yoon, and K.G. Goulias, Activity space estimation with longitudinal observations of social media data, Transportation 43 (2016), pp. 955–977. doi: 10.1007/s11116-016-9719-1
  • S.A. Matthews and T.C. Yang, Spatial polygamy and contextual exposures (SPACEs): Promoting activity space approaches in research on place and health, Am. Behav. Sci. 57 (2013), pp. 1057–1081. doi: 10.1177/0002764213487345
  • J.D. Mazimpaka and S. Timpf, Trajectory data mining: A review of methods and applications, J. Spatial Inform. Sci. 13 (2016), pp. 61–99.
  • C.N. Morrison, H.F. Byrnes, B.A. Miller, E. Kaner, S.E. Wiehe, W.R. Ponicki, and D. Wiebe, Assessing individuals' exposure to environmental conditions using residence-based measures, activity location-based measures, and activity path-based measures, Epidemiology 30 (2019), pp. 166–176. doi: 10.1097/EDE.0000000000000940
  • C. Perchoux, B. Chaix, S. Cummins, and Y. Kestens, Conceptualization and measurement of environmental exposure in epidemiology: Accounting for activity space related to daily mobility, Health and Place 21 (2013), pp. 86–93. doi: 10.1016/j.healthplace.2013.01.005
  • D.B. Richardson, N.D. Volkow, M.P. Kwan, R.M. Kaplan, M.F. Goodchild, and R.T. Croyle, Spatial turn in health research, Science 339 (2013), pp. 1390–1392. doi: 10.1126/science.1232257
  • M. Šimon, P. Vašát, H. Daňková, P. Gibas, and M. Poláková, Mobilities and commons unseen: Spatial mobility in homeless people explored through the analysis of GPS tracking data, GeoJournal (2019). doi:10.1007/s10708-019-10030-4.
  • M. Šimon, P. Vašát, M. Poláková, P. Gibas, and H. Daňková, Activity spaces of homeless men and women measured by gps tracking data: A comparative analysis of Prague and Pilsen, Cities 86 (2019), pp. 145–153. doi: 10.1016/j.cities.2018.09.011
  • G.M. Vazquez-Prokopec, D. Bisanzio, S.T. Stoddard, V. Paz-Soldan, A.C. Morrison, J.P. Elder, J. Ramirez-Paredes, E.S. Halsey, T.J. Kochel, T.W. Scott, and U. Kitron, Using GPS technology to quantify human mobility, dynamic contacts and infectious disease dynamics in a resource-poor urban environment, PLoS ONE 8 (2013), p. e58802. doi: 10.1371/journal.pone.0058802
  • L.A. Waller and C.A. Gotway, Applied Spatial Statistics for Public Health Data, John Wiley & Sons, Hoboken, NJ, 2004.
  • L. Wasserman, All of Nonparametric Statistics, Springer Texts in Statistics, Springer, New York, 2007.
  • S.E. Wiehe, A.E. Carroll, G.C. Liu, K.L. Haberkorn, S.C. Hoch, J.S. Wilson, and J.D. Fortenberry, Using GPS-enabled cell phones to track the travel patterns of adolescents, Int. J. Health. Geogr. 7 (2008), pp. 22–22. doi: 10.1186/1476-072X-7-22
  • S.E. Wiehe, M.P. Kwan, J. Wilson, and J.D. Fortenberry, Adolescent health-risk behavior and community disorder, PLoS ONE 8 (2013), p. e77667. doi: 10.1371/journal.pone.0077667
  • S.N. Zenk, S.A. Matthews, A.N. Kraft, and K.K. Jones, How many days of Global Positioning System (GPS) monitoring do you need to measure activity space environments in health research?, Health and Place 51 (2018), pp. 52–60. doi: 10.1016/j.healthplace.2018.02.004
  • S.N. Zenk, A.J. Schulz, S.A. Matthews, A. Odoms-Young, J. Wilbur, L. Wegrzyn, K. Gibbs, C. Braunschweig, and C. Stokes, Activity space environment and dietary and physical activity behaviors: A pilot study, Health and Place 17 (2011), pp. 1150–1161. doi: 10.1016/j.healthplace.2011.05.001

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