Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges
The COVID-19 pandemic poses unprecedented challenges around the world. Many studies
have applied mobility data to explore spatiotemporal trends over time, investigate …
have applied mobility data to explore spatiotemporal trends over time, investigate …
[HTML][HTML] Social media mining under the COVID-19 context: Progress, challenges, and opportunities
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 …
sensing networks that allow information on certain topics to be collected, stored, mined, and …
[HTML][HTML] Using mobile device data to track the effects of the COVID-19 pandemic on spatiotemporal patterns of national park visitation
Effective quantification of visitation is important for understanding many impacts of the
COVID-19 pandemic on national parks and other protected areas. In this study, we mapped …
COVID-19 pandemic on national parks and other protected areas. In this study, we mapped …
[HTML][HTML] Twitter mobility dynamics during the COVID-19 pandemic: A case study of London
The current COVID-19 pandemic has profoundly impacted people's lifestyles and travel
behaviours, which may persist post-pandemic. An effective monitoring tool that allows us to …
behaviours, which may persist post-pandemic. An effective monitoring tool that allows us to …
City2vec: Urban knowledge discovery based on population mobile network
Due to the needs of social and economic development, population movements between
cities often occur on a large scale. Spontaneous population movements between cities …
cities often occur on a large scale. Spontaneous population movements between cities …
Using geospatial social media data for infectious disease studies: a systematic review
Geospatial social media (GSM) data has been increasingly used in public health due to its
rich, timely, and accessible spatial information, particularly in infectious disease research …
rich, timely, and accessible spatial information, particularly in infectious disease research …
Aggravated social segregation during the COVID-19 pandemic: Evidence from crowdsourced mobility data in twelve most populated US metropolitan areas
The notion of social segregation refers to the degrees of separation between socially
different population groups. Many studies have examined spatial and residential …
different population groups. Many studies have examined spatial and residential …
[HTML][HTML] Build healthier: post-COVID-19 urban requirements for healthy and sustainable living
The COVID-19 pandemic has brought a renewed interest in urban environment and healthy
living and the changes in urban environments which can make for a healthier living. Today …
living and the changes in urban environments which can make for a healthier living. Today …
[HTML][HTML] ODT FLOW: Extracting, analyzing, and sharing multi-source multi-scale human mobility
In response to the soaring needs of human mobility data, especially during disaster events
such as the COVID-19 pandemic, and the associated big data challenges, we develop a …
such as the COVID-19 pandemic, and the associated big data challenges, we develop a …
[HTML][HTML] Emerging geo-data sources to reveal human mobility dynamics during COVID-19 pandemic: Opportunities and challenges
Effectively monitoring the dynamics of human mobility is of great importance in urban
management, especially during the COVID-19 pandemic. Traditionally, the human mobility …
management, especially during the COVID-19 pandemic. Traditionally, the human mobility …