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 …

This article surveys the literature on analyses of mobile traffic collected by operators within
their network infrastructure. This is a recently emerged research field, and, apart from a few …

Up-to-date information on different modes of travel to monitor transport traffic and evaluate
rapid urban transport planning interventions is often lacking. Transport systems typically rely …

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 …

Activity-based models appeared as an answer to the limitations of the traditional trip-based
and tour-based four-stage models. The fundamental assumption of activity-based models is …

Cellular networks' signaling data provide means for analyzing the efficiency of an underlying
transportation system and assisting the formulation of models to predict its future use. This …

Social network contacts have significant influence on individual travel behavior. However,
transport models rarely consider social interaction. One of the reasons is the difficulty to …

Purpose—In this chapter, we will review several alternative methods of collecting data from
mobile phones for human mobility analysis. We propose considering cellular network …

In the last decade, mobile phones and mobile devices using mobile cellular
telecommunication network connections have become ubiquitous. In several developed …

Obtaining the time and space features of the travel of urban residents can facilitate urban
traffic optimization and urban planning. As traditional methods often have limited sample …