Advancements of information, communication and location-aware technologies have made
collections of various passively generated datasets possible. These datasets provide new …

Activity space is an important concept in geography. Recent advancements of location-
aware technologies have generated many useful spatiotemporal data sets for studying …

The advent of big data has aided understanding of the driving forces of human mobility,
which is beneficial for many fields, such as mobility prediction, urban planning, and traffic …

With the rapid growth of cell phone networks during the last decades, call detail records
(CDR) have been used as approximate indicators for large scale studies on human and …

Passively generated mobile phone dataset is emerging as a new data source for research in
human mobility patterns. Information on individuals' trajectories is not directly available from …

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 …

The emergence of large-scale spatiotemporal trajectory data offers an excellent opportunity
to characterize collective human mobility patterns and their relationship with the urban built …

The study of urban dynamics from spatio-temporal information contained in massive human-
tracking data has become a hotspot in research. As numerous human mobility patterns and …

Due to the pervasiveness of mobile devices, a vast amount of geolocated data is generated,
which allows us to gain deep insight into human behavior. Among other data sources, the …

Recent advanced information and communication technologies can provide more accurate
and comprehensive information. In particular, mobile phone data provide a new data source …