| Title |
Making big data work: smart, sustainable, and safe cities |
| ID_Doc |
75910 |
| Authors |
Lepri, B; Antonelli, F; Pianesi, F; Pentland, A |
| Title |
Making big data work: smart, sustainable, and safe cities |
| Year |
2015 |
| Published |
Epj Data Science, 4, 1 |
| DOI |
10.1140/epjds/s13688-015-0050-4 |
| 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. |
| Author Keywords |
mobile phone data; social media data; human behavior; city dynamics |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000368069900016 |
| WoS Category |
Mathematics, Interdisciplinary Applications; Social Sciences, Mathematical Methods |
| Research Area |
Mathematics; Mathematical Methods In Social Sciences |
| PDF |
https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-015-0050-4
|