Urban landscapes present a variety of socio-topological environments that are associated to
diverse human activities. As the latter affect the way individuals connect with each other, a …

This chapter examines the possibility to analyze and compare human activities in an urban
environment based on the detection of mobile phone usage patterns. Thanks to an …

Understanding the patterns of mobile data consumption is extremely valuable to reveal
human activities and ecology in urban areas. This task is nontrivial in terms of three …

Due to the ubiquity of mobile phones, mobile phone network data (eg, Call Detail Records,
CDR; and cellular signaling data, CSD), which are collected by mobile telecommunication …

The recent development of telecommunication networks is producing an unprecedented
wealth of information and, as a consequence, an increasing interest in analyzing such data …

In this study, with Singapore as an example, we demonstrate how we can use mobile phone
call detail record (CDR) data, which contains millions of anonymous users, to extract …

In this work, we present three classes of methods to extract information from triangulated
mobile phone signals, and describe applications with different goals in spatiotemporal …

This paper illustrates how aggregated mobile phone network activity logs provide
anonymous information that reveals valuable insight into the presence of tourists visiting a …

The rapid development in telecommunication networks is producing a huge amount of
information regarding how people (with their mobile devices) move and behave over space …

Existing studies extensively utilized taxicab trips and individuals' movements captured by
mobile phone usages (referred as" mobile phone movements" hereafter) to understand …