Large-scale GPS location datasets hold immense potential for measuring human mobility
and interpersonal contact, both of which are essential for data-driven epidemiology …

The generation of trajectory data has increased dramatically with the advent and
widespread use of GPS-enabled devices. This rich source of data provides invaluable …

We survey the literature on the privacy of trajectory micro-data, ie, spatiotemporal
information about the mobility of individuals, whose collection is becoming increasingly …

Location data collected from mobile devices represent mobility behaviors at individual and
societal levels. These data have important applications ranging from transportation planning …

Various studies have investigated the predictability of different aspects of human behavior
such as mobility patterns, social interactions, and shop** and online behaviors. However …

Fine-granular spatio-temporal trajectories, ie, time-stamped sequences of locations, play a
pivotal role in transport and urban analytics. However, sharing or publishing trajectory data …

The movement and transport of people and goods is spatial by its very nature. Thus,
geospatial fundamentals of transport systems need to be adequately considered in transport …

Though biometrics is widely being used in various applications, it still faces many
challenges. This article aims: i) to present an overview of biometrics and latest progress, ii) …

The exposure of location data constitutes a significant privacy risk to users as it can lead to
de-anonymization, the inference of sensitive information, and even physical threats. In this …

Quantification of individual behaviours using mobile sensing devices, including physical
activity and spatial location, is a rapidly growing field in both academic research and the …