Smart cities have been recognized as a promising research focus around the world. To
realize smart cities, computation and utilization of big data are key factors. More specifically …

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 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 …

Human mobility is a multidisciplinary field of physics and computer science and has drawn a
lot of attentions in recent years. Some representative models and prediction approaches …

Over the past decade, scientific studies have used the growing availability of large tracking
datasets to enhance our understanding of human mobility behavior. However, so far data …

Even though a variety of human mobility models have been recently developed, models that
can capture real-time human mobility of urban populations in a sustainable and economical …

Understanding human mobility patterns is crucial to fields such as urban mobility and mobile
network planning. For this purpose, we make use of large-scale datasets recording …

Human mobility patterns reflect many aspects of life, from the global spread of infectious
diseases to urban planning and daily commute patterns. In recent years, the prevalence of …

The availability of massive digital traces of human whereabouts has offered a series of novel
insights on the quantitative patterns characterizing human mobility. In particular, numerous …

Recent years have witnessed an explosion of extensive geolocated datasets related to
human movement, enabling scientists to quantitatively study individual and collective …