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Making big data work: smart, sustainable, and safe cities

Author(s)
Lepri, Bruno; Antonelli, Fabrizio; Pianesi, Fabio; Pentland, Alex Paul
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Abstract
The goal of the present thematic series is to showcase some of the most relevant contributions submitted to the ‘Telecom Italia Big Data Challenge 2014’ and to provide a discussion venue about recent advances in the appplication of mobile phone and social media data to the study of individual and collective behaviors. Particular attention is devoted to data-driven studies aimed at understanding city dynamics. These studies include: modeling individual and collective traffic patterns and automatically identifying areas with traffic congestion, creating high-resolution population estimates for Milan inhabitants, clustering urban dynamics of migrants and visitors traveling to a city for business or tourism, and investigating the relationship between urban communication and urban happiness.
Date issued
2015-10
URI
http://hdl.handle.net/1721.1/103285
Department
Massachusetts Institute of Technology. Media Laboratory
Journal
EPJ Data Science
Publisher
Springer Berlin Heidelberg
Citation
Lepri, Bruno, Fabrizio Antonelli, Fabio Pianesi and Alex Pentland. "Making big data work: smart, sustainable, and safe cities." EPJ Data Science. 2015 Oct 16;4(1):16, pp.1-4.
Version: Final published version
ISSN
2193-1127

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