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 …
The characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the US during the COVID-19 pandemic
This study reveals the human mobility from various sources and the luxury nature of social
distancing in the US during the COVID-19 pandemic by highlighting the disparities in …
distancing in the US during the COVID-19 pandemic by highlighting the disparities in …
Human mobility and COVID-19 transmission: a systematic review and future directions
Without a widely distributed vaccine, controlling human mobility has been identified and
promoted as the primary strategy to mitigate the transmission of COVID-19. Many studies …
promoted as the primary strategy to mitigate the transmission of COVID-19. Many studies …
Understanding the bias of mobile location data across spatial scales and over time: a comprehensive analysis of SafeGraph data in the United States
Mobile location data has emerged as a valuable data source for studying human mobility
patterns in various contexts, including virus spreading, urban planning, and hazard …
patterns in various contexts, including virus spreading, urban planning, and hazard …
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 …
Autonomous GIS: the next-generation AI-powered GIS
ABSTRACT Large Language Models (LLMs), such as ChatGPT, demonstrate a strong
understanding of human natural language and have been explored and applied in various …
understanding of human natural language and have been explored and applied in various …
Measuring global multi-scale place connectivity using geotagged social media data
Shaped by human movement, place connectivity is quantified by the strength of spatial
interactions among locations. For decades, spatial scientists have researched place …
interactions among locations. For decades, spatial scientists have researched place …
Human mobility data and analysis for urban resilience: A systematic review
M Haraguchi, A Nishino, A Kodaka… - … and Planning B …, 2022 - journals.sagepub.com
The impacts of disasters are increasing due to climate change and unplanned urbanization.
Big and open data offer considerable potential for analyzing and predicting human mobility …
Big and open data offer considerable potential for analyzing and predicting human mobility …
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 …