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 …

Mobile devices equipped with rich sensors, such as smartphones, watches, or vehicles,
have been pervasively used all around the world. Their high penetration and powerful …

Human mobility prediction is of great importance for a wide spectrum of location-based
applications. However, predicting mobility is not trivial because of three challenges: 1) the …

Crowdsourcing is a computing paradigm where humans are actively involved in a
computing task, especially for tasks that are intrinsically easier for humans than for …

Even though human movement and mobility patterns have a high degree of freedom and
variation, they also exhibit structural patterns due to geographic and social constraints …

Urbanization's rapid progress has modernized many people's lives but also engendered big
issues, such as traffic congestion, energy consumption, and pollution. Urban computing …

Recent advances in localization techniques have fundamentally enhanced social
networking services, allowing users to share their locations and location-related contents …

The popularity of location-based social networks provide us with a new platform to
understand users' preferences based on their location histories. In this paper, we present a …

Studying the social dynamics of a city on a large scale has tra-ditionally been a challenging
endeavor, requiring long hours of observation and interviews, usually resulting in only a par …

With the ubiquity of mobile devices, spatial crowdsourcing is emerging as a new platform,
enabling spatial tasks (ie, tasks related to a location) assigned to and performed by human …