minute community life circle focuses on residents' daily needs and aligns with “people-
oriented” planning. However, the personalized needs of residents have been ignored in …

Urban crowd density prediction is essential for transport demand management and public
safety monitoring. Existing studies for crowd density prediction only focus on a few transport …

Rapid development of AI technologies has propelled the seamless integration of physical
and cyber worlds with various kinds of online/offline information collected from millions of …

Simulating human mobility contributes to city behavior discovery and decision-making.
Although the sequence-based and image-based approaches have made impressive …

The proliferation of mobile phones has generated vast quantities of cellular signaling data
(CSD), covering extensive spatial areas and populations. These data, containing …

With the development of technology, there is an increasing number of automatically
collected data sources applied in human mobility research. Although these data sets can …

Smartphones connected to the cellular network generate records about connection
information (Call Details Record-CDR), creating considerable amounts of …

Customizing services for bus travel can bolster its attractiveness, optimize usage, alleviate
traffic congestion, and diminish carbon emissions. This potential is realized by harnessing …

This paper addresses the problem of predicting population density leveraging cellular
station data. As wireless communication devices are commonly used, cellular station data …

Mobile network data (MND) has become a widely used source to characterise travel
demand patterns, as it enables a detailed analysis of large samples of door-to-door …