Geographies of mobility: applications of location-based data

International Journal of Geographical Information Science

Volumn 29, Issue 11, 2015, Pages 1935-1940

  Zook, Matthew ^a   Kraak, Menno Jan ^b   Ahas, Rein ^c  

^a UNIVERSITY OF KENTUCKY   (United States)

^b UNIVERSITY OF TWENTE   (Netherlands)

^c UNIVERSITY OF TARTU   (Estonia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84942096255     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658816.2015.1061667     Document Type: Editorial

References (13)

1. J.Crampton,, et al., 2013. Beyond the geotag: situating ‘big data’ and leveraging the potential of the geoweb. Cartography and Geographic Information Science (CaGIS), 40 (2), 130–139. doi:10.1080/15230406.2013.777137
2. T.Cresswell, and P.Merriman,, eds., 2011. Geographies of mobilities: practices, spaces, subjects. Farnham: Ashgate Publishing.
3. IBM, 2012. How to transform a city: lessons from the IBM smarter cities challenge, IBM Smarter Cities White Paper, March. Available from: http://asmarterplanet.com/files/2012/11/Smarter-Cities-WhitePaper_031412b.pdf
4. O.Järv,, R.Ahas,, and F.Witlox,, 2014. Understanding monthly variability in human activity spaces: a twelve-month study using mobile phone call detail records. Transportation Research Part C: Emerging Technologies, 38 (1), 122–135. doi:10.1016/j.trc.2013.11.003
5. H.J.Miller, and M.F.Goodchild,, 2014. Data-driven geography. GeoJournal, 1–13. doi:10.1007/s10708-014-9602-6
6. M.Sheller, and J.Urry,, 2006. The new mobilities paradigm. Environment and Planning A, 38 (2), 207–226. doi:10.1068/a37268
7. T.Shelton,, M.Zook,, and A.Wiig,, 2014. The ‘actually existing smart city’. Cambridge Journal of Regions, Economy and Society. doi:10.1093/cjres/rsu026
8. S.Silm, and R.Ahas,, 2014. The temporal variation of ethnic segregation in a city: evidence from a mobile phone use dataset. Social Science Research, 47, 30–43. doi:10.1016/j.ssresearch.2014.03.011
9. J.Steenbruggen,, et al., 2015. Data from mobile phone operators: A tool for smarter cities? Telecommunications Policy, 39 (3–4), 335–346. doi:10.1016/j.telpol.2014.04.001
10. A.M.Townsend,, 2013. Smart cities: big data, civic hackers, and the quest for a new Utopia. New York: W. W. Norton.
11. R.Trasarti,, et al., 2015. Discovering urban and country dynamics from mobile phone data with spatial correlation patterns. Telecommunications Policy, 39 (3–4), 347–362. doi:10.1016/j.telpol.2013.12.002
12. N.Walravens,, 2015. Qualitative indicators for smart city business models: the case of mobile services and applications. Telecommunications Policy, 39 (3–4), 218–240. doi:10.1016/j.telpol.2014.12.011
13. Y.Yuan, and M.Raubal,, 2014. Measuring similarity of mobile phone user trajectories – a spatio-temporal edit distance method. International Journal of Geographical Information Science, 28 (3), 496–520. doi:10.1080/13658816.2013.854369