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 …
Gross polluters and vehicle emissions reduction
Vehicle emissions produce an important share of a city's air pollution, with a substantial
impact on the environment and human health. Traditional emission estimation methods use …
impact on the environment and human health. Traditional emission estimation methods use …
[HTML][HTML] Socio-spatial segregation and human mobility: A review of empirical evidence
Socio-spatial segregation is the physical separation of different social, economic, or
demographic groups within a geographic space, often resulting in unequal access to …
demographic groups within a geographic space, often resulting in unequal access to …
[HTML][HTML] Assessing the socio-demographic representativeness of mobile phone application data
Emerging forms of mobile phone data generated from the use of mobile phone applications
have the potential to advance scientific research across a range of disciplines. However …
have the potential to advance scientific research across a range of disciplines. However …
Residency and worker status identification based on mobile device location data
Mobile device location data (MDLD) have been widely recognized for their rich human
mobility information and thus considered as a supplementary data source for the current …
mobility information and thus considered as a supplementary data source for the current …
Comparison of home detection algorithms using smartphone GPS data
Estimation of people's home locations using location-based services data from smartphones
is a common task in human mobility assessment. However, commonly used home detection …
is a common task in human mobility assessment. However, commonly used home detection …
The social stratification of internal migration and daily mobility during the COVID-19 pandemic
This study leverages mobile data for 5.4 million users to unveil the complex dynamics of
daily mobility and longer-term relocations in and from Santiago, Chile, during the COVID-19 …
daily mobility and longer-term relocations in and from Santiago, Chile, during the COVID-19 …