A survey on deep learning for human mobility

M Luca, G Barlacchi, B Lepri… - ACM Computing Surveys …, 2021 - dl.acm.org
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 …

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 …

Modelling taxi drivers' behaviour for the next destination prediction

A Rossi, G Barlacchi, M Bianchini… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we study how to model taxi drivers' behavior and geographical information for
an interesting and challenging task: the next destination prediction in a taxi journey …

Understanding peace through the world news

V Voukelatou, I Miliou, F Giannotti, L Pappalardo - EPJ data science, 2022 - epjds.epj.org
Peace is a principal dimension of well-being and is the way out of inequity and violence.
Thus, its measurement has drawn the attention of researchers, policymakers, and …

[PDF][PDF] Deep learning for human mobility: a survey on data and models

M Luca, G Barlacchi, B Lepri, L Pappalardo - arXiv preprint arXiv …, 2020 - iris.cnr.it
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 …

[图书][B] Towards Bayesian model-based demography: Agency, complexity and uncertainty in migration studies

J Bijak - 2022 - library.oapen.org
This open access book presents a ground-breaking approach to developing micro-
foundations for demography and migration studies. It offers a unique and novel methodology …

[PDF][PDF] Are you getting sick? Predicting influenza-like symptoms using human mobility behaviors

G Barlacchi, C Perentis, A Mehrotra, M Musolesi… - EPJ data science, 2017 - Springer
Understanding and modeling the mobility of individuals is of paramount importance for
public health. In particular, mobility characterization is key to predict the spatial and temporal …

[HTML][HTML] Principles and state of the art of agent-based migration modelling

J Bijak, M Hinsch, J Bijak - … Agency, complexity and uncertainty in migration …, 2022 - Springer
Migration as an individual behaviour as well as a macro-level phenomenon happens as part
of hugely complex social systems. Understanding migration and its consequences therefore …

Forecasting internally displaced population migration patterns in Syria and Yemen

BQ Huynh, S Basu - Disaster medicine and public health …, 2020 - cambridge.org
Objectives: Armed conflict has contributed to an unprecedented number of internally
displaced persons (IDPs), individuals who are forced out of their homes but remain within …

Estimating countries' peace index through the lens of the world news as monitored by GDELT

V Voukelatou, L Pappalardo, I Miliou… - 2020 IEEE 7th …, 2020 - ieeexplore.ieee.org
Peacefulness is a principal dimension of well-being, and its measurement has lately drawn
the attention of researchers and policy-makers. During the last years, novel digital data …