The coronavirus disease 2019 (COVID-19) has exposed and, to some degree, exacerbated
social inequity in the United States. This study reveals the correlation between demographic …

Background The urban built environment (BE) has been globally acknowledged as one of
the main factors that affects the spread of infectious disease. However, the effect of the street …

Social media platforms allow users worldwide to create and share information, forging vast
sensing networks that allow information on certain topics to be collected, stored, mined, and …

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 …

Modelling the movement uncertainty of crowdsourced human trajectories in complex urban
areas is useful for various human mobility analytics and applications. However, the existing …

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

As COVID-19 spread around the world, epidemic prevention and control policies have been
adopted by many countries. This process has prompted online social platforms to become …

Modelling pedestrian movement uncertainty in complex urban environments is regarded as
a meaningful and challenging task regarding the promotion of geospatial data mining and …

One of the major pathogenesis mechanisms of SARS-CoV-2 is its potent suppression of
innate immunity, including blocking the production of type I interferons. However, it is unknown …

Individuals’ indoor trajectories can be reconstructed with sensing data for indoor navigation.
However, the movement uncertainty of such reconstructed indoor trajectories has seldom …