The vast amounts of mobile communication data collected by mobile operators can provide
important insights regarding epidemic transmission or traffic patterns. By analyzing historical …

In previous urban planning research, the fine-grained population was considered a crucial
factor. However, this population, which is generated from census data, represents only the …

In the recent years, the rapid spread of mobile device has create the vast amount of mobile
data. However, some shallow-structure models such as support vector machine (SVM) have …

The mobile Internet brings tremendous opportunities for researchers to analyze user mobility
pattern, which is of great importance for Internet Service Providers (ISP) to provide better …

The large amount of phone call records from mobile operators in a city can inform us how
many people are present in any given area and how many are entering or leaving. Each …

Information and communication technologies (ICTs), such as mobile phones and the
Internet, are increasingly pervasive in modern society. These technologies provide new …

In this study, with Estonia as an example, we established an approach based on Hidden
Markov Model to extract large-scale commuting patterns at different geographical levels …

Studying human movement citywide is important for understanding mobility and
transportation patterns. Rather than investigating the trajectories of individuals, we employ …

Call detail records (CDRs) have recently been used in studying different aspects of human
mobility. While CDRs provide a means of sampling user locations at large population scales …

Urban planning and intelligent transportation management are facing key challenges in
today's ever more urbanized world. Providing the right tools to city planners is crucial to cope …