Deepurbanevent: A system for predicting citywide crowd dynamics at big events
Event crowd management has been a significant research topic with high social impact.
When some big events happen such as an earthquake, typhoon, and national festival, crowd …
When some big events happen such as an earthquake, typhoon, and national festival, crowd …
Spatio-temporal urban knowledge graph enabled mobility prediction
With the rapid development of the mobile communication technology, mobile trajectories of
humans are massively collected by Internet service providers (ISPs) and application service …
humans are massively collected by Internet service providers (ISPs) and application service …
Habit2vec: Trajectory semantic embedding for living pattern recognition in population
Recognizing representative living patterns in population is extremely valuable for urban
planning and decision making. Thanks to the growing popularity of location-based …
planning and decision making. Thanks to the growing popularity of location-based …
Semantic-aware spatio-temporal app usage representation via graph convolutional network
Recent years have witnessed a rapid proliferation of personalized mobile Apps, which
poses a pressing need for user experience improvement. A promising solution is to model …
poses a pressing need for user experience improvement. A promising solution is to model …
Metagraph-based life pattern clustering with big human mobility data
Life pattern clustering is essential for abstracting the groups' characteristics of daily life
patterns and activity regularity. Based on millions of GPS records, this research proposes a …
patterns and activity regularity. Based on millions of GPS records, this research proposes a …
Mobility prediction via rule-enhanced knowledge graph
With the rapid development of location acquisition technologies, massive mobile trajectories
have been collected and made available to us, which support a fantastic way of …
have been collected and made available to us, which support a fantastic way of …
Semantics-aware hidden Markov model for human mobility
Understanding human mobility benefits numerous applications such as urban planning,
traffic control, and city management. Previous work mainly focuses on modeling spatial and …
traffic control, and city management. Previous work mainly focuses on modeling spatial and …
Healthwalks: Sensing fine-grained individual health condition via mobility data
Can health conditions be inferred from an individual's mobility pattern? Existing research
has discussed the relationship between individual physical activity/mobility and well-being …
has discussed the relationship between individual physical activity/mobility and well-being …
Passive health monitoring using large scale mobility data
In this paper, we investigate the feasibility of using mobility patterns and demographic data
to predict hospital visits. We collect mobility traces from two thousand users for around two …
to predict hospital visits. We collect mobility traces from two thousand users for around two …
Quantifying the causal effect of individual mobility on health status in urban space
How does individual mobility in the urban environment impact their health status? Previous
works have explored the correlation between human mobility behaviour and individual …
works have explored the correlation between human mobility behaviour and individual …