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Exploring Large Language Models for Human Mobility Prediction under Public Events
Computers, Environment and Urban Systems, 2023Public events, such as concerts and sports games, can be major attractors for large crowds, leading to irregular surges in travel demand. Accurate human mobility prediction for public events is thus crucial for event planning as well as traffic or crowd ...
Yuebing Liang +3 more
semanticscholar +1 more source
Urban dynamics through the lens of human mobility
Nature Computational Science, 2023The urban spatial structure represents the distribution of public and private spaces in cities and how people move within them. Although it usually evolves slowly, it can change quickly during large-scale emergency events, as well as due to urban renewal
Yanyan Xu +5 more
semanticscholar +1 more source
Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
The Web Conference, 2023Human mobility nowcasting is a fundamental research problem for intelligent transportation planning, disaster responses and management, etc. In particular, human mobility under big disasters such as hurricanes and pandemics deviates from its daily ...
Renhe Jiang +7 more
semanticscholar +1 more source
Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges
International Journal of Digital Earth, 2021The 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 the spread of COVID-19.
T. Hu +14 more
semanticscholar +1 more source
Human mobility data and analysis for urban resilience: A systematic review
Environment and Planning B Urban Analytics and City Science, 2022The 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 during disaster events, including the COVID-19 pandemic, leading to ...
Masahiko Haraguchi +8 more
semanticscholar +1 more source
Mobile human-computer interaction
CHI '14 Extended Abstracts on Human Factors in Computing Systems, 2014The objective of this course is to provide newcomers to Mobile Human-Computer Interaction (Mobile HCI) with an overview of the field. The course will introduce the five grand challenges of Mobile HCI that set this field apart from others and will discuss eight current Mobile HCI research areas that address those challenges.
Niels Henze, Enrico Rukzio
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Human mobility and human health
Current Opinion in Environmental Sustainability, 2012Motor vehicles have become the dominant form of transport, but this has had a number of negative human health outcomes. While public health originally drove the need to reduce densities, the latest research now favours the move to more compact cities where active transport can be improved as a transport option.
Newman, Peter, Matan, Annie
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Human mobility and disease prevalence
Journal of Mathematical Biology, 2023We examine the effect of human mobility on disease prevalence by studying the dependence of the total infected population at endemic equilibria with respect to population diffusion rates of a diffusive epidemic model. For small diffusion rates, our results indicate that the total infected population size is strictly decreasing with respect to the ratio
Lou, Yuan +2 more
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ACM SIGKDD Explorations Newsletter, 2019
Human mobility is a multidisciplinary field of physics and computer science and has drawn a lot of attentions in recent years. Some representative models and prediction approaches have been proposed for modeling and predicting human mobility. However, multi-source heterogeneous data from handheld terminals, GPS, and social media, provides a new driving
Jinzhong Wang +3 more
openaire +1 more source
Human mobility is a multidisciplinary field of physics and computer science and has drawn a lot of attentions in recent years. Some representative models and prediction approaches have been proposed for modeling and predicting human mobility. However, multi-source heterogeneous data from handheld terminals, GPS, and social media, provides a new driving
Jinzhong Wang +3 more
openaire +1 more source