The last decade has witnessed very active development in two broad, but separate fields,
both involving understanding and modeling of how individuals move in time and space …

Rapid urbanization creates new challenges and issues, and the smart city concept offers
opportunities to rise to these challenges, solve urban problems and provide citizens with a …

基于位置服务(Location Based Service, LBS) 技术为研究城市系统的时空动态规律提供了新的
视角, 已往多基于移动通讯(GSM), 全球定位系统(GPS), 社会化网络(SNS) 和无线宽带热点(Wi …

The emergence of big data brings new opportunities for us to understand our socioeconomic
environments. We use the term social sensing for such individual-level big geospatial data …

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 …

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

Understanding human mobility is crucial for a broad range of applications from disease
prediction to communication networks. Most efforts on studying human mobility have so far …

Data-driven intelligent transportation systems utilize data resources generated within
intelligent systems to improve the performance of transportation systems and provide …

The article revisits spatial interaction and distance decay from the perspective of human
mobility patterns and spatially-embedded networks based on an empirical data set. We …

Taxi GPS trajectories data contain massive spatial and temporal information of urban human
activity and mobility. Taking taxi as mobile sensors, the information derived from taxi trips …