A5078524177- Data-Driven Disease Surveillance
- COVID-19 Digital Contact Tracing
- Human Mobility and Location-Based Analysis
- COVID-19 Pandemic Impacts
- Urban Transport and Accessibility
- COVID-19 epidemiological studies
- Transportation and Mobility Innovations
- Urban and Freight Transport Logistics
- Aging, Elder Care, and Social Issues
- Food Security and Health in Diverse Populations
- Food Waste Reduction and Sustainability
University of Connecticut
2021-2022
The COVID-19 pandemic poses unprecedented challenges around the world. Many studies have applied mobility data to explore spatiotemporal trends over time, investigate associations with other variables, and predict or simulate spread of COVID-19. Our objective was provide a comprehensive overview human open guide researchers policymakers in conducting data-driven evaluations decision-making for infectious disease outbreaks. We summarized usage by reviewing recent publications on from...
This paper brings a comprehensive systematic review of the application geospatial artificial intelligence (GeoAI) in quantitative human geography studies, including subdomains cultural, economic, political, historical, urban, population, social, health, rural, regional, tourism, behavioural, environmental and transport geography. In this extensive review, we obtain 14,537 papers from Web Science relevant fields select 1516 that identify as studies using GeoAI via scanning conducted by...
The COVID-19 pandemic poses unprecedented challenges around the world. Many studies indicate that human mobility data provide significant support for public health actions during pandemic. Researchers have applied to explore spatiotemporal trends over time, investigate associations with other variables, and predict or simulate spread of COVID-19. Our objective was a comprehensive overview open guide researchers policymakers in conducting data-driven evaluations decision-making infectious...
The bike-sharing system has advanced urban transportation by solving "the last mile problem," enabling riders to better connect public transit. There been a paucity of knowledge, however, regarding the relationship between and In this article, we solicit one year bike trip data comprising approximately 17 million trips from Citi Bike, largest dock-based in New York City. Then, derive six usage clusters based on three clustering variables: start trips, end station empty status. Finally,...