Future directions in human mobility science
We provide a brief review of human mobility science and present three key areas where we
expect to see substantial advancements. We start from the mind and discuss the need to …
expect to see substantial advancements. We start from the mind and discuss the need to …
A survey on deep learning for human mobility
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …
such as disease spreading, urban planning, well-being, pollution, and more. The …
A deep gravity model for mobility flows generation
The movements of individuals within and among cities influence critical aspects of our
society, such as well-being, the spreading of epidemics, and the quality of the environment …
society, such as well-being, the spreading of epidemics, and the quality of the environment …
Scikit-mobility: A Python library for the analysis, generation, and risk assessment of mobility data
The last decade has witnessed the emergence of massive mobility datasets, such as tracks
generated by GPS devices, call detail records, and geo-tagged posts from social media …
generated by GPS devices, call detail records, and geo-tagged posts from social media …
Exposure density and neighborhood disparities in COVID-19 infection risk
Although there is increasing awareness of disparities in COVID-19 infection risk among
vulnerable communities, the effect of behavioral interventions at the scale of individual …
vulnerable communities, the effect of behavioral interventions at the scale of individual …
Mobility trajectory generation: a survey
Mobility trajectory data is of great significance for mobility pattern study, urban computing,
and city science. Self-driving, traffic prediction, environment estimation, and many other …
and city science. Self-driving, traffic prediction, environment estimation, and many other …
Zooming into mobility to understand cities: A review of mobility-driven urban studies
Emerging big datasets about human mobility provide new and powerful ways of studying
cities and addressing various urban issues. However, human mobility has usually been …
cities and addressing various urban issues. However, human mobility has usually been …
Mobility prediction using a weighted Markov model based on mobile user classification
The vast amounts of mobile communication data collected by mobile operators can provide
important insights regarding epidemic transmission or traffic patterns. By analyzing historical …
important insights regarding epidemic transmission or traffic patterns. By analyzing historical …
Understanding population movement and the evolution of urban spatial patterns: An empirical study on social network fusion data
Y Cao, Z Hua, T Chen, X Li, H Li, D Tao - Land Use Policy, 2023 - Elsevier
Population movement has become one of the main vehicles for information transfer, factor
flow, and resource allocation between cities. It is also considered as the main way to form …
flow, and resource allocation between cities. It is also considered as the main way to form …
Spatio-temporal graph learning for epidemic prediction
The COVID-19 pandemic has posed great challenges to public health services, government
agencies, and policymakers, raising huge social conflicts between public health and …
agencies, and policymakers, raising huge social conflicts between public health and …