Future directions in human mobility science

L Pappalardo, E Manley, V Sekara… - Nature computational …, 2023 - nature.com
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 …

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 …

The universal visitation law of human mobility

M Schläpfer, L Dong, K O'Keeffe, P Santi, M Szell… - Nature, 2021 - nature.com
Human mobility impacts many aspects of a city, from its spatial structure,–to its response to
an epidemic,,–. It is also ultimately key to social interactions, innovation, and productivity …

The scales of human mobility

L Alessandretti, U Aslak, S Lehmann - Nature, 2020 - nature.com
There is a contradiction at the heart of our current understanding of individual and collective
mobility patterns. On the one hand, a highly influential body of literature on human mobility …

Electric vehicle behavior modeling and applications in vehicle-grid integration: An overview

X Li, Z Wang, L Zhang, F Sun, D Cui, C Hecht… - Energy, 2023 - Elsevier
The increasing electric vehicle (EV) adoption in the context of transportation electrification
and carbon neutrality pursuit brings both new challenges and opportunities for all the …

A review of graph neural networks in epidemic modeling

Z Liu, G Wan, BA Prakash, MSY Lau, W ** - Proceedings of the 30th …, 2024 - dl.acm.org
Since the onset of the COVID-19 pandemic, there has been a growing interest in studying
epidemiological models. Traditional mechanistic models mathematically describe the …

Data acquisition for urban building energy modeling: A review

C Wang, M Ferrando, F Causone, X **, X Zhou… - Building and …, 2022 - Elsevier
Abstract Urban Building Energy Modeling (UBEM) is essential for urban energy-related
applications. Its generation mainly requires four data inputs, including geometric data, non …

Effect of COVID-19 response policies on walking behavior in US cities

RF Hunter, L Garcia, TH de Sa… - Nature …, 2021 - nature.com
The COVID-19 pandemic is causing mass disruption to our daily lives. We integrate mobility
data from mobile devices and area-level data to study the walking patterns of 1.62 million …

Urban mobility and neighborhood isolation in America's 50 largest cities

Q Wang, NE Phillips, ML Small… - Proceedings of the …, 2018 - National Acad Sciences
Influential research on the negative effects of living in a disadvantaged neighborhood
assumes that its residents are socially isolated from nonpoor or “mainstream” …

PMF: A privacy-preserving human mobility prediction framework via federated learning

J Feng, C Rong, F Sun, D Guo, Y Li - … of the ACM on Interactive, Mobile …, 2020 - dl.acm.org
With the popularity of mobile devices and location-based social network, understanding and
modelling the human mobility becomes an important topic in the field of ubiquitous …