This chapter discusses the use of automatically collected human mobility data for urban
studies. Urban mobility data has been widely used in urban studies, taking advantage of its …

Traditional census data are ill-suited for uncovering the true population patterns and
underlying social and economic dynamics in China as the census relies on information of …

The study of urban dynamics from spatio-temporal information contained in massive human-
tracking data has become a hotspot in research. As numerous human mobility patterns and …

Many researches on resident mobility came from traditional data collection methods such as
artificial or telephone surveys, but those approaches are difficult to update and the results …

Social area analysis has been applied to analyze how urban space is spatially arranged.
Related studies have divided urban residents into different groups whose socioeconomic …

Understanding human mobility patterns provides knowledge about impacts of a socio-
economic transformation in a rapidly urbanizing environment. This study assesses a long …

People′ s movement in a city is driven by purpose. Moreover, the distribution of urban
spatial structure can cause the phenomenon of human convergence or dispersion, and this …

With the development of traffic information technology and acceleration of life and work
rhythm, in modern metropolises like Shanghai, the high frequency mobility of massive …

Along with the increase of big data and the advancement of technologies, comprehensive
data-driven knowledge of urban systems is becoming more attainable, yet the connection …

Monitoring urban structure and development requires high-quality data at high spatio-
temporal resolution. While traditional censuses have provided foundational insights into …