Daily activity data that records individuals' various types of activities in daily life are widely
used in many applications such as activity scheduling, activity recommendation, and …

This study develops a Geographic Data Science framework that transforms the Foursquare
check-in locations and user origin-destination flows data into knowledge about the emerging …

Along with the rapid development of China's economy as well as the continuing
urbanization, the internal spatial and functional structures of cities within this country are …

The development of mobile devices and positioning technology has facilitated the rapid
growth of location-based social networks (LBSNs). Users in these networks can share geo …

Urban functional regions (UFRs) are formed and developed with human social actions and
can reflect urban land use types. Appropriately identifying UFRs helps solve existing urban …

The study of urban functional area identification is of great significance for urban function
cognition, spatial planning, and economic development. In the identification of urban …

Urbanization and modernization accelerate the evolution of urban morphology with the
formation of different functional regions. To develop a smart city, how to efficiently identify the …

Abstract Analysis of mobile big data enables smart cities from aspects of traffic pattern,
human mobility, air quality, and so on. Co-occurrence pattern in human mobility has been …

Places are usually ambiguous and context dependent. Place functionality as a context in
place descriptions is one of the prominent and distinguishing features of place. Today, due …

Numbers of sharing economy services are significantly increasing recently. Using
computational techniques to obtain customer's behavior on these services are very helpful to …