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.
CITATION STYLE
Lepri, B., Antonelli, F., Pianesi, F., & Pentland, A. (2015, December 1). Making big data work: smart, sustainable, and safe cities. EPJ Data Science. SpringerOpen. https://doi.org/10.1140/epjds/s13688-015-0050-4
Mendeley helps you to discover research relevant for your work.