In this paper we present methods to model citizen movement according to mobile network connectivity, and a set of visualization widgets to display and analyze the results of those methods. In particular, citizen movement is analyzed in terms of Origin/Destiny trips in workable days, as well as classification of city areas into dormitory, non-dormitory, and mixed. We demonstrate our proposal with a case study of the city of Santiago, Chile, and briefly discuss our results in terms of the design of Ambient Intelligence and Urban Design applications.
CITATION STYLE
Graells-Garrido, E., & García, J. (2015). Visual exploration of urban dynamics using mobile data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9454, pp. 480–491). Springer Verlag. https://doi.org/10.1007/978-3-319-26401-1_45
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