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 …
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 data sets, 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 …
Using big data to study the link between human mobility and socio-economic development
Big Data offer nowadays the potential capability of creating a digital nervous system of our
society, enabling the measurement, monitoring and prediction of relevant aspects of socio …
society, enabling the measurement, monitoring and prediction of relevant aspects of socio …
Data-driven generation of spatio-temporal routines in human mobility
L Pappalardo, F Simini - Data Mining and Knowledge Discovery, 2018 - Springer
The generation of realistic spatio-temporal trajectories of human mobility is of fundamental
importance in a wide range of applications, such as the developing of protocols for mobile …
importance in a wide range of applications, such as the developing of protocols for mobile …
An analytical framework to nowcast well-being using mobile phone data
An intriguing open question is whether measurements derived from Big Data recording
human activities can yield high-fidelity proxies of socio-economic development and well …
human activities can yield high-fidelity proxies of socio-economic development and well …
[HTML][HTML] Graph-based mobility profiling
The decarbonization of the transport system requires a better understanding of human
mobility behavior to optimally plan and evaluate sustainable transport options (such as …
mobility behavior to optimally plan and evaluate sustainable transport options (such as …
[PDF][PDF] Deep learning for human mobility: a survey on data and models
Urban population is increasing strikingly and human mobility is becoming more complex
and bulky, affecting crucial aspects of people lives such as the spreading of viral diseases …
and bulky, affecting crucial aspects of people lives such as the spreading of viral diseases …
Gravity and scaling laws of city to city migration
Models of human migration provide powerful tools to forecast the flow of migrants, measure
the impact of a policy, determine the cost of physical and political frictions and more. Here …
the impact of a policy, determine the cost of physical and political frictions and more. Here …
[PDF][PDF] Generating mobility networks with generative adversarial networks
The increasingly crucial role of human displacements in complex societal phenomena, such
as traffic congestion, segregation, and the diffusion of epidemics, is attracting the interest of …
as traffic congestion, segregation, and the diffusion of epidemics, is attracting the interest of …
Deep activity model: A generative approach for human mobility pattern synthesis
Human mobility plays a crucial role in transportation, urban planning, and public health.
Advances in deep learning and the availability of diverse mobility data have transformed …
Advances in deep learning and the availability of diverse mobility data have transformed …