Measuring objective and subjective well-being: dimensions and data sources

V Voukelatou, L Gabrielli, I Miliou, S Cresci… - International Journal of …, 2021 - Springer
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 …

Modelling urban-scale occupant behaviour, mobility, and energy in buildings: A survey

FD Salim, B Dong, M Ouf, Q Wang, I Pigliautile… - Building and …, 2020 - Elsevier
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 …

scikit-mobility: A Python library for the analysis, generation and risk assessment of mobility data

L Pappalardo, F Simini, G Barlacchi… - arXiv preprint arXiv …, 2019 - arxiv.org
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 …

Evidence for a conserved quantity in human mobility

L Alessandretti, P Sapiezynski, V Sekara… - Nature human …, 2018 - nature.com
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 …

[HTML][HTML] Emergence of urban growth patterns from human mobility behavior

F Xu, Y Li, D Jin, J Lu, C Song - Nature Computational Science, 2021 - nature.com
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 …

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 …

An analytical framework to nowcast well-being using mobile phone data

L Pappalardo, M Vanhoof, L Gabrielli… - International Journal of …, 2016 - Springer
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 …

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 …

[HTML][HTML] Nation-wide touristic flow prediction with graph neural networks and heterogeneous open data

FT Sáenz, F Arcas-Tunez, A Muñoz - Information Fusion, 2023 - Elsevier
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 …

A data mining approach to assess privacy risk in human mobility data

R Pellungrini, L Pappalardo, F Pratesi… - ACM Transactions on …, 2017 - dl.acm.org
Human mobility data are an important proxy to understand human mobility dynamics,
develop analytical services, and design mathematical models for simulation and what-if …