In contrast to traditional surveys collecting tourists' stated responses, location-based social
network data provide information about tourists' observed behaviours. This study proposes a …

Road safety is the most important feature of a modern city, and it affects almost everyone in
the community, especially vulnerable road users (VRUs). This paper comprehensively …

Urban green space (UGS) is an important component of urban resources which contributes
to human physical and mental health. Studies on the accessibility of UGS under the two-step …

Standard environmental hazard exposure assessment methods have been primarily based
on residential places, neglecting individuals' hazard exposures due to activities outside …

Texts have become an important spatial data resource. Interpretation of unstructured
geoscience texts using natural language processing methods can effectively facilitate the …

Various methods have been proposed to detect the base locations of individuals, with their
geo-tagged social media data. However, a common challenge relating to base-location …

Predicting user future travel trajectories is crucial for transportation planning, emergency
evacuation, geo-customized advertising and other city smart management. However, due to …

Accurately predicting the next track point of vehicle travel is crucial for various Intelligent
Transportation System (ITS) applications, such as travel behavior studies, traffic control, and …

The increasing amount of geotagged social media data provides a possible resource for
location prediction. However, existing location prediction methods rarely incorporate …

Inferring individual's home country from geotagged footprints is widely applied in human
mobility research. Previous studies mainly used simple empirical methods that are based on …