A method to create a synthetic population with social networks for geographically-explicit agent-based models
Geographically-explicit simulations have become crucial in understanding cities and are
playing an important role in Urban Science. One such approach is that of agent-based …
playing an important role in Urban Science. One such approach is that of agent-based …
[HTML][HTML] Using social media to predict food deserts in the united states: infodemiology study of tweets
N Sigalo, B St Jean… - JMIR Public Health and …, 2022 - publichealth.jmir.org
Background The issue of food insecurity is becoming increasingly important to public health
practitioners because of the adverse health outcomes and underlying racial disparities …
practitioners because of the adverse health outcomes and underlying racial disparities …
Modelling impacts of high-speed rail on urban interaction with social media in China's mainland
ABSTRACT High-Speed Rail (HSR) has increasingly become an important mode of inter-
city transportation between large cities. Inter-city interaction facilitated by HSR tends to play …
city transportation between large cities. Inter-city interaction facilitated by HSR tends to play …
Health-based geographic information systems for mapping and risk modeling of infectious diseases and COVID-19 to support spatial decision-making
Infectious diseases remain an essential global challenge in public health. For instance,
novel coronavirus (COVID-19) has resulted in significant negative impacts on public health …
novel coronavirus (COVID-19) has resulted in significant negative impacts on public health …
Rapid damage estimation of Texas Winter Storm Uri from social media using deep neural networks
The winter storm Uri that occurred in February 2021 affected many regions in Canada, the
United States, and Mexico. The State of Texas was severely impacted due to the failure in …
United States, and Mexico. The State of Texas was severely impacted due to the failure in …
Analyzing spatial variations of heart disease and type-2 diabetes: A multi-scale geographically weighted regression approach
Heart disease is the leading cause of death in the United States. A person who has type-2
diabetes is twice as likely to have heart disease than someone who doesn't have diabetes …
diabetes is twice as likely to have heart disease than someone who doesn't have diabetes …
Urban computing cyberinfrastructure: visualizing human sentiment using social media and augmented reality
Urban information discovery has a long history in geography and other related disciplines.
Routing and Point-of-Interest (POI) searching services have been implemented in many …
Routing and Point-of-Interest (POI) searching services have been implemented in many …
A time-series clustering algorithm for analyzing the changes of mobility pattern caused by COVID-19
The coronavirus (COVID-19) has spread to more than 135 countries and continues to
spread. The virus sickened more than 90,201,652 people until January 2021 and caused …
spread. The virus sickened more than 90,201,652 people until January 2021 and caused …
Integrating variable importance and spatial heterogeneity to reveal the environmental effects on outdoor jogging
C Zhang, D Shi, Z Xiao - Computational Urban Science, 2024 - Springer
Outdoor jogging is increasingly recognized as a crucial component of urban active transport
strategies aimed at improving public health. Despite growing research on the influence of …
strategies aimed at improving public health. Despite growing research on the influence of …
Designing user-centered decision support systems for climate disasters: what information do communities and rescue responders need during floods?
Flooding events are the most common natural hazard globally, resulting in vast destruction
and loss of life. An effective flood emergency response is necessary to lessen the negative …
and loss of life. An effective flood emergency response is necessary to lessen the negative …