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

被引：13

作者：

Lepri, Bruno ^{[1
]}

Antonelli, Fabrizio ^{[2
]}

Pianesi, Fabio ^{[1
]}

Pentland, Alex ^{[3
]}

机构：

[1] Fdn Bruno Kessler, I-24105 Trento, Trento, Italy

[2] Skil Telecom Italia, I-24105 Trento, Trento, Italy

[3] MIT, Media Lab, Cambridge, MA 02139 USA

来源：

EPJ DATA SCIENCE | 2015年 / 4卷 / 01期

关键词：

mobile phone data; social media data; human behavior; city dynamics; COMMUNICATION; HAPPINESS; PATTERNS; MOBILITY;

D O I：

10.1140/epjds/s13688-015-0050-4

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

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.

引用

页码：1 / 4

页数：4

共 29 条

[1] Misery loves company: happiness and communication in the city [J].