Making big data work: smart, sustainable, and safe cities
Name
13688_2015_Article_50.pdf
Size
1.01 MB
Format
Adobe PDF
Checksum (MD5)
5a422f5811adafd014f6f3381a10be4a
Author(s)
Lepri, Bruno
Antonelli, Fabrizio
Pianesi, Fabio
Pentland, Alex Paul
Date Issued
October 2015
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
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.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1140/epjds/s13688-015-0050-4
