Measuring objective and subjective well-being: dimensions and data sources
Well-being is an important value for people's lives, and it could be considered as an index of
societal progress. Researchers have suggested two main approaches for the overall …
societal progress. Researchers have suggested two main approaches for the overall …
Modelling urban-scale occupant behaviour, mobility, and energy in buildings: A survey
The proliferation of urban sensing, IoT, and big data in cities provides unprecedented
opportunities for a deeper understanding of occupant behaviour and energy usage patterns …
opportunities for a deeper understanding of occupant behaviour and energy usage patterns …
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 …
Evidence for a conserved quantity in human mobility
Recent seminal works on human mobility have shown that individuals constantly exploit a
small set of repeatedly visited locations,–. A concurrent study has emphasized the …
small set of repeatedly visited locations,–. A concurrent study has emphasized the …
Emergence of urban growth patterns from human mobility behavior
Cities grow in a bottom-up manner, leading to fractal-like urban morphologies characterized
by scaling laws. The correlated percolation model has succeeded in modeling urban …
by scaling laws. The correlated percolation model has succeeded in modeling urban …
Data-driven generation of spatio-temporal routines in human mobility
The generation of realistic spatio-temporal trajectories of human mobility is of fundamental
importance in a wide range of applications, such as the develo** of protocols for mobile …
importance in a wide range of applications, such as the develo** 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 …
How the individual human mobility spatio-temporally shapes the disease transmission dynamics
S Changruenngam, DJ Bicout, C Modchang - Scientific Reports, 2020 - nature.com
Human mobility plays a crucial role in the temporal and spatial spreading of infectious
diseases. During the past few decades, researchers have been extensively investigating …
diseases. During the past few decades, researchers have been extensively investigating …
[HTML][HTML] Nation-wide touristic flow prediction with graph neural networks and heterogeneous open data
Tourism has become a very active ecosystem to deploy solutions based on Information and
Communication Technologies. Indeed, it is now possible to analyse the mobility behaviour …
Communication Technologies. Indeed, it is now possible to analyse the mobility behaviour …
Human mobility is well described by closed-form gravity-like models learned automatically from data
Modeling human mobility is critical to address questions in urban planning, sustainability,
public health, and economic development. However, our understanding and ability to model …
public health, and economic development. However, our understanding and ability to model …